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Tag: AI tools

  • How AI Can Revolutionize Our Broken Supply Chain | Entrepreneur

    How AI Can Revolutionize Our Broken Supply Chain | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    The Covid-19 pandemic sent shockwaves through the global supply chain, exposing vulnerabilities and inefficiencies that were previously hidden. From inventory mismanagement to port backlogs, the pandemic magnified a myriad of issues that challenged even the most robust supply chains. As businesses search for innovative solutions to address these problems, Artificial Intelligence (AI) stands out as a powerful ally. We explore how AI-driven predictive analytics can support and enhance experienced human decision-making in the face of evolving global supply chain dynamics.

    The power of AI in tackling supply chain challenges

    The pandemic brought to light several key challenges that businesses must address to ensure smooth operations in their supply chains. By leveraging AI, organizations can gain insights into crucial aspects such as inventory management, container allocation, demand fluctuations, freight pricing and port operations. Let’s examine how AI can help tackle some of these challenges.

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    John Monarch

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  • This $30 Bundle Can Show You How to Use ChatGPT for Your Business | Entrepreneur

    This $30 Bundle Can Show You How to Use ChatGPT for Your Business | Entrepreneur

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    Disclosure: Our goal is to feature products and services that we think you’ll find interesting and useful. If you purchase them, Entrepreneur may get a small share of the revenue from the sale from our commerce partners.

    AI has already begun changing how entrepreneurs do business. Recent metrics reported by Master of Code state that 49% of companies are using ChatGPT, with more joining in the future. All that’s left is to see how AI can help you start, grow, and manage your business from day-to-day dealings down to new revenue streams. If you want to learn from the pros, start with the 2023 ChatGPT for Business Mastery Bundle.

    This ChatGPT training bundle comes with seven courses with 19 hours of instruction showing you different ways to put ChatGPT to work. Enroll while it’s on sale for 77% off.

    How to use ChatGPT to run your business?

    Beginners are welcome in this AI for business training bundle. You don’t even need experience using AI, as the first class is a 30-minute primer showing you effective ways to use ChatGPT. Once you have the basics down, you can move into more specific use cases of chatbots or learn more about other AI tools available to entrepreneurs.

    Need to boost conversions or get more eyes on your merchandise? Learn how to use ChatGPT to generate image prompts, write headlines and subheadlines, write emails, create sales presentations, and more.

    There are even ways to use AI to help maintain your business. There’s a whole lecture just on using AI to help your IT Service Management Performance.

    Content creation is where AI excels, and this bundle also guides you through the process of using common AI tools to create and sell your own books. That’s a totally new source of revenue that requires few resources and virtually zero human intervention.

    AI can help your business grow.

    Want to find out how to integrate new developments in artificial intelligence with your business?

    Get the 2023 ChatGPT for Business Mastery Bundle, now on sale for just $29.99 (reg. $133).

    Prices subject to change.

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    Entrepreneur Store

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  • AI Is Coming For Your Jobs — Anyone Who Says Otherwise Is In Denial. Here’s Why. | Entrepreneur

    AI Is Coming For Your Jobs — Anyone Who Says Otherwise Is In Denial. Here’s Why. | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    It was not long ago that my office was a hive of human activity. The soundtrack? The busy clicks and clatters of a dedicated executive assistant masterfully juggling my appointments, memos and ceaseless travel plans. Fast forward to today, and the buzz of the office is decidedly different. It’s the steady hum of AI tools, seamlessly managing those same tasks with a level of efficiency that’s hard to match.

    Despite the countless articles out there insisting that executive assistants can never be replaced by machines, as the CEO of a public company, it’s actually the very first place I looked to integrate AI. Today, I use three specialized AI tools to automate most of the tasks my executive assistant used to handle. One for scheduling, one for drafting standardized communications and one for travel planning. Pleasantly, it’s been an incredible success.

    This integration of AI hasn’t just streamlined my own day-to-day – it’s a powerful symbol of a larger change sweeping across our business landscape. AI is indeed coming for people’s jobs, and anyone who insists otherwise is sticking their head in the sand.

    Instead of wallowing in denial, the authors of these articles need to realize that although AI will take away some jobs, it will also create new jobs. The AI revolution will be an incredibly potent catalyst, triggering the development of a wave of new roles and opportunities. The landscape will shift from a large number of lower-level support roles to a smaller number of more advanced tech-forward support roles.

    Some executive assistants might morph into AI tool gurus, masters of these digital resources. Others might decide to take a different path, leveraging their skills in entirely new ways. This dynamic, ever-changing scenario is what our AI-influenced world is really about — not job eradication, but evolution and adaptation.

    Just think about the new roles that AI is already starting to create. Roles focused on AI ethics, keeping us grounded in our values as we navigate this technological frontier. Or the growing demand for pros who can steer these intricate AI systems, interpret the torrent of data they produce and guide businesses on how to weave AI into their operations most effectively.

    • Already, AI’s influence is reshaping sectors like healthcare, manufacturing and customer service, birthing roles we couldn’t have imagined a few years ago. It’s not spelling doom for our workforce; it’s inspiring a fascinating job evolution, blending human creativity and AI’s analytical power. We’re standing at the precipice of an exhilarating wave of professional growth and adaptation, with a horizon full of promise.

    A couple of decades ago, AI and machine learning were the stuff of sci-fi movies. But today, they’re right here, integral parts of our daily lives. The New York Times aptly called this an “A.I. explosion,” but that doesn’t mean it’s cause for alarm. Change can be daunting, sure, but it’s also an opportunity for growth, for evolution, and for pushing boundaries.

    Instead of fretting over the changes that AI brings, let’s flip the narrative. We’re not being replaced; we’re being given the chance to soar higher, fueled by AI’s empowering boost. So let’s embrace it, roll with the changes, and shape the future we want to see.

    Transforming the way the world does business

    There is no doubt that AI is changing work as we know it. Just a few years ago, automation and technology in work environments were mostly limited to repetitive, manual tasks. Generative AI technology like ChatGPT has placed these technologies firmly within the realm of white-collar work.

    Whether you are using AI-powered applications to deliver social media content, accelerate your research of new subjects or help you draft an eye-catching cover letter, generative AI can support those tasks.

    While that may not be enough to alleviate all fears surrounding AI and other emerging technologies, now is the time to realize that AI is here to stay. Rather than fighting its growing presence, forward-looking companies and their leaders need to embrace this technology and learn to leverage it to build their businesses.

    Automating repetitive tasks was one of the first areas of business in which AI proved invaluable. AI technology simply outperforms humans when it comes to data analysis by crunching far larger amounts of data more accurately and in a shorter time. AI also recognizes patterns within the data and presents them to human decision-makers.

    Plus, AI delivers the kind of data-driven insights that leadership teams have been dreaming of for decades. Integrating AI analysis into tasks like understanding customer behavior can give your business an unparalleled competitive advantage and enhance future decision-making today.

    AI can also contribute to your customer experience. When customers need help, AI-powered chatbots, and virtual assistants are excellent first points of contact. Even if they cannot resolve the customer’s issue, they can guide the query toward the best person and let the customer know their concern is being dealt with.

    Even the earliest incarnations of AI had customer experience at their heart. Remember the first personalized product recommendations you received on online shopping platforms? Like the viewing suggestions on streaming services, they are AI-based ways of improving customer service.

    How to foster innovation and growth in your organization

    At its core, AI looks at problems differently from how humans would. The technology may be mimicking human behaviors, but it is not exactly copying them. This means it brings an entirely fresh perspective to the table, offering innovative solutions and pinpointing previously unseen market opportunities.

    So, how can businesses encourage their teams to embrace rather than fear AI? The key lies in empowering individual team members to use these tools and leverage them for their work. Education and skills development is one of the foundations of empowerment. Modern workplaces have long encouraged lifelong learning, and AI is no exception. Making resources for AI training accessible online is one way of encouraging more of your employees to learn more about their capabilities.

    The modern workplace must commit to this ethos of continuous learning, especially in the context of AI. By offering readily accessible AI training resources online, organizations can nurture an environment that encourages employees to continually expand their understanding of AI, thus demystifying the technology and promoting its adoption.

    Undoubtedly, one of the most widespread anxieties related to AI is its potential to render certain jobs redundant. This concern is not unfounded. History bears witness to numerous technological transitions, where machines eventually took over tasks once performed by humans. However, this shift allows for evolution by creating a need for highly skilled professionals to supervise and orchestrate these advanced tools.

    AI does not exist to replace human capabilities, but to augment them. It thrives when paired with human intellect and creativity, thus leading to an ecosystem where humans and AI coexist and collaborate. By encouraging this synthesis and providing avenues for learning and growth, organizations can mitigate the threat of job loss. Instead, they can catalyze a transformation that redefines jobs, creating a new breed of roles that leverage both human creativity and AI’s computational prowess. The future is not about AI vs. humans, but rather AI and humans, working together to foster innovation and drive growth.

    5 step framework for cultivating an AI-forward organizational culture

    Navigating the evolving business landscape requires a dynamic approach, particularly when it comes to embracing AI. Instilling a culture that is AI-forward within your organization isn’t a mere switch you flip overnight. It’s an ongoing journey requiring commitment and collaboration from every part of your business. This journey may seem daunting, but with a strategic five-step plan, we can turn perceived challenges into tangible advantages, fostering a thriving ecosystem that leverages AI’s potential to its fullest.

    1. Educate yourself and your team

    Most people fear what they do not understand. Learning more about AI helps break down barriers. Because technology is developing extremely fast, it is important to commit to staying informed about the latest advancements and opportunities. Ensure that your business allocates sufficient resources for continuous learning and development across the entire organization.

    2. Evaluate and identify areas for AI integration

    How would AI benefit your business the most? Assess the organization’s workflows, customer interactions and decision-making processes to identify the areas where AI can truly add value. Look for spaces where AI could improve process efficiency or enhance the user experience of a website or an app. Once you have quantified the potential impact and the feasibility of potential initiatives, it becomes easier to choose the most promising options.

    3. Foster a culture of innovation and collaboration

    Big transformations like the transition toward emerging technologies are rarely made without some degree of experimentation or trial and error. Encourage this experimentation with AI among your team and make it clear that not every trial is going to be a success. Create a supportive environment for your employees to develop their ideas, share insights, and experiment with AI-based tools and systems.

    4. Implement ethical AI practices and policies

    The U.S. government recently called upon leading AI developers like Google CEO Sundar Pichai and OpenAI’s Sam Altman to make ethical AI developments a priority. If your company is struggling to overcome concerns about this technology, putting ethics at the heart of your transition toward AI may help.

    Develop clear guidelines and principles for the responsible use of within the business and review them regularly. Ensure that AI-driven decisions across all levels of the company are transparent, unbiased and respect individual privacy. The easiest way to do this is to involve relevant stakeholders in all aspects of the transition process.

    5. Measure and celebrate success

    Do not be afraid to evaluate the impact integrating AI has had on your organization. Mark milestones and celebrate successes, but be ready to make adjustments as well. The company’s overall performance, customer satisfaction and employee engagement are all excellent indicators. Sharing success stories will generate trust as will being open about setbacks. Adapting your AI integration strategy should be part of your plan.

    Conclusion

    AI-based applications, tools and solutions are here to stay, and these technologies will change the way we think about and conduct work. Embracing these technologies at an organizational and individual level now will prepare companies and their employees for a successful future.

    For anyone in a C-suite role, it is time to rethink how to make the best use of assistants. Most of us no longer need to follow the traditional one-to-one executive assistant model. What we will need, though, is someone skilled enough to handle AI tools and platforms on behalf of the entire C-Suite. Whether that role will become known as an AI manager or remain an executive assistant is not critical. What matters more is that we need to prepare our current assistants for the near future where there is a new need for fewer, more advanced support roles.

    Overcoming fears of the unknown and an all-too-human resistance to change is instrumental to securing the future of the business. It will also help improve AI as we currently know it. Start by assessing the opportunities for your business now, and leverage AI proactively. Together, we can create a better future for individuals and businesses alike.

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    Jessica Billingsley

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  • AI Fraud is Coming. Here’s What to Look Out For. | Entrepreneur

    AI Fraud is Coming. Here’s What to Look Out For. | Entrepreneur

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    A new wave of fraudulent investment schemes is coming — and it’s powered by AI.

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    Alan Rosca

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  • 10 AI Tools That You Should Be Using In Your Business This Year | Entrepreneur

    10 AI Tools That You Should Be Using In Your Business This Year | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    We hear a lot about AI, and there’s no question that this technology will have a great impact on our businesses in the next few years. But what about now? Here are 10 AI tools that you can use today to help increase productivity and hopefully profits.

    This is the conversational chatbot created by OpenAI that started the hype late last year and it really does have a lot of things a business owner can be hyped about. Use it to write blogs, suggest better ways to create emails, analyze your website to improve search results, do advanced math, create HR policies and a number of other functions. You should also play with OpenAI’s Dall-E 2 app which can create images using text commands (i.e. “a horse standing by a river.”) that can be used on company communications or your website.

    Microsoft owns 49% of OpenAI (and ChatGPT is hosted by Microsoft servers) so a lot of ChatGPT’s functionality will soon be part of the Copilot app which can already be used with Bing searches but will also be a major part of Office in the next year. You’ll use Copilot to analyze spreadsheets, create templates, update presentations and even have it attend Teams meetings on your behalf.

    Related: The Future Founder’s Guide to Artificial Intelligence

    Bard is Google’s answer to ChatGPT and Duet is the application that will use Bard’s underlying Large Language Model to power Google’s business apps in a very similar fashion to Microsoft Copilot. The release of these features is expected within the next six months, but already Gmail is using Bard’s AI to help write emails and check grammar.

    Very similar to Dall-E, Crayon is an advanced image generator that uses AI to generate art, photos, drawings and other graphics directly from your text descriptions. The quality is excellent and the variety of choices is seemingly endless. Use this for images on your website or other promotional content.

    If your business is heavily into content, Heywire is a powerful content generator that uses AI to glean information from the Internet and automatically turn it into stories, articles and other blog forms. The application uses real-time, journalistically validated data that you can publish. The tool can help further establish you and your company as a thought leader in your industry. It can also establish multiple “personalities” for whoever you want to be seen writing and creating social posts based on the content it generates.

    Ever bump into a really interesting video and then see how long it is and then say to yourself “I don’t have the time.” Eightify solves that problem. This AI app will watch the video for you and then summarize it into specific points of interest. As a business owner, we often have to wear all the hats. Which means we have to be knowledgeable about a bunch of different subjects. There’s so much great content on video that can help us run our business and with this app, we can absorb much more information than ever before.

    I’ve been using Temi for years and, as a writer, swear by it! It’s a powerful AI-driven transcription service. I upload audio and video recordings I’ve made and within minutes, Temi transcribes it into words — and it’s close to flawless. Transcribing a 10-minute recording costs just a few bucks too.

    Need a good, professional form for your business? Maybe a job application? A quotation template? A request form for people visiting your website? Feathery uses AI to create professional-looking forms in just minutes. You can save and edit forms as you create them and customize them for your business. All of this is done through a natural language interface.

    Related: Previous Tech Revolutions Rewarded the Builders — This AI Revolution Will Reward the Users. Here’s Why.

    Want to prepare your prospective employees for a job interview? Or perhaps you’re a freelancer or remote independent contractor that’s scheduled to speak with a prospective client. Interview.ai uses AI to walk you through the conversation in advance. Its mock interviews will help you hone your speaking skills and its algorithms generate interview questions that are tailored to the job and to the industry. The platform promises to deliver customized questions that are both technical and situational, all based on the information you provide beforehand.

    So many of us are using video in our businesses for campaigns, case studies, testimonials or just to generate some buzz. The videos go on our website but of course, we want to do more with them. That’s where Opus Clip comes in. Using their AI-generated platform you can upload a long video and it will break it down into shorter, more digestible clips that can then be posted on social media or included in your email campaigns.

    Pretty cool, right? And I’m just scratching the surface. All of this reminds me of the early days of the iPhone and its smartphone competitors where apps began appearing — and then proliferating. I expect the same to happen during this AI revolution. So there are lots more to come. But in the meantime, play with these tools and I promise good results — and better productivity.

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    Gene Marks

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  • 5 Areas Where Every Business Should Be Using Cognitive AI Today | Entrepreneur

    5 Areas Where Every Business Should Be Using Cognitive AI Today | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Artificial intelligence (AI) has made significant advancements recently, with AI systems driven by perceptual intelligence already being utilized to varying degrees in many industries. However, perceptual intelligence is not everything. In fact, the true potential of AI lies in cognitive intelligence, and there are still big challenges to overcome on that front.

    That being said, cognitive AI offers many opportunities and has the potential to revolutionize industries by enhancing the efficiency, precision and user-friendliness of processes and services. But, since this field is constantly evolving, adoption is still lacking.

    However, to truly maximize the potential benefits of cognitive AI, companies need to implement it and start building domain-specific, highly relevant databases. And there are many areas where AI is already gaining significant traction. Here are five key areas where every company can leverage cognitive AI’s power.

    Related: Nearly 3 out of 4 Marketing Professionals Use AI to Create Content, New Study Shows

    1. Generating insights through automated data analysis

    The global data volume being created annually is expected to reach around 175 zettabytes to 180 zettabytes by 2025. With such a copious amount of data being created and processed each year, companies are, unsurprisingly, inundated with vast amounts of information they have to process. This data can be challenging to interpret and utilize effectively.

    Since cognitive AI excels in data analysis, companies implementing a cognitive computing system can easily derive valuable and accurate insights from complex datasets, enabling faster data-driven decisions. Businesses can also leverage machine learning algorithms and cognitive computing to identify trends and patterns while keeping costs low efficiently.

    Domain-specific databases are crucial for this since they provide relevant data that is tailored to specific industries or sectors, including structured and unstructured data. This enables AI systems to learn based on domain-specific knowledge, leading to more accurate and actionable insights.

    2. Enhancing cybersecurity and preventing fraud

    As the digital landscape constantly shifts, digital threats also continue to evolve. Further, with data taking up such a prominent spot in today’s world, the legislative landscape is also ever-changing. Data privacy and protection laws, like the GDPR, CCPA and the PIPL, have been passed around the globe and are constantly getting adjusted.

    Consequently, companies are faced with mounting challenges when it comes to data privacy and security. Cognitive AI offers a powerful defense mechanism against cyber threats due to its ability to analyze massive amounts of data in real time, enabling it to identify patterns of malicious behavior and predict potential security breaches. Additionally, it can help companies adapt and adhere to changing regulations.

    The global market for AI-based cybersecurity products amounted to roughly $15 billion in 2021, and it is forecast to reach a value of around $134 billion by 2030. With cyberattacks on the rise, the advanced protective capabilities of cognitive AI are now necessary to protect consumer and corporate data.

    Related: 4 Simple Ways To Leverage AI Skills For Passive Income From Home

    3. Onboarding and managing employees

    Employee onboarding, training and management are essential tasks that cognitive AI can greatly enhance. By streamlining and automating these processes, companies can free up valuable time for their human resources departments to develop and implement more efficient strategies.

    With cognitive AI, companies can identify top talent and match candidates with job requirements to improve the efficiency and effectiveness of onboarding, training and employee management. Additionally, it can be utilized to create personalized employee experiences, which can improve the productivity and satisfaction of employees.

    Related: How to Keep Employees Engaged and Productive in the Age of AI

    4. Cognitive AI to enhance customer engagement

    Customer engagement is crucial to any business, and cognitive AI can greatly improve the customer experience. For example, intelligent chatbots and virtual assistants can increase customer satisfaction and drive engagement by quickly and accurately analyzing customer queries, understanding context and providing personalized responses.

    Additionally, cognitive AI enables companies to offer real-time support at any time of the day while massively reducing wait times. Further, it can help streamline the experience by providing businesses with insights into consumer behavior to increase the efficiency of customer interactions in their contact and service centers.

    Not only does this increase customer engagement and satisfaction, but it also reduces support costs. According to Gartner, conversational AI alone will reduce global contact center costs by $80 billion in 2026. Xiao-I has already been enabling banks to build cheaper and more effective contact centers with its AI technology for nearly a decade.

    Cognitive AI is also increasingly being deployed to improve various finance services, such as algorithmic trading, asset management, or blockchain-based finance. Further, global IT spending by insurance companies on cognitive AI reached more than $570 million in 2021, representing a nearly 700 percent increase from 2016. So, not only is cognitive AI improving customer engagement, but it is also improving the services offered to consumers.

    5. Optimizing supply chain management

    Supply chain management is a complex process that involves numerous interconnected internal and external actors. Companies can utilize cognitive AI to optimize supply chain management through data analysis and process optimization.

    Cognitive AI can help companies optimize inventory management and reduce costs by predicting demand and improving supply chain visibility. Additionally, this technology enables businesses to adapt to changes in demand or supply quickly.

    With supply chains around the globe having been plagued with troubles in the past years, the implementation of cognitive AI in supply chain management is a good way to create more agile and resilient supply chains.

    Moving forward, and the future significance of data for AI

    Cognitive AI has the potential to reshape numerous industries by enhancing human capabilities and streamlining processes. While perceptual intelligence has seen significant progress and adaption, cognitive intelligence remains an ongoing pursuit.

    By leveraging cognitive AI in key areas, such as customer service, data analysis, cybersecurity, human resources and supply chain management, companies can unlock immense value and stay ahead in this fast-paced digital era. Among other things, cognitive AI can help companies achieve higher efficiency, accuracy and customer satisfaction.

    So, besides implementing cognitive AI, companies need to start building or acquiring databases that can be utilized for their specific needs. With continued advancements in the sector, embracing cognitive AI is a strategic imperative for companies that are looking to thrive in the digital age.

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    Hui (Max) Yuan

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  • How to Use AI and Automation to Boost Your Business Goals | Entrepreneur

    How to Use AI and Automation to Boost Your Business Goals | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Hold on to your hats, folks! The business landscape is evolving at breakneck speed, and AI coupled with automation is the catapult launching businesses to new horizons. But what’s all the hubbub about? In this article, we’ll dive headfirst into the deep end of automation. We’ll explore everything from the basics to expert strategies, and by the end, you’ll be raring to take the bull by the horns!

    Combining AI with business process automation is like having your cake and eating it. AI brings brainpower, while automation brings the muscle. Together, they streamline operations, enhance decision-making and make customers happy.

    Understanding the power duo

    Harnessing the power duo of AI and automation (BPA), we can liken AI to a virtual Sherlock Holmes within your business, deducing patterns and making intelligent decisions. At the same time, automation acts as the Road Runner, swiftly completing tasks that would otherwise take humans a considerable amount of time. Integrating these two technologies is as harmonious as peanut butter and jelly. AI’s intellectual prowess amplifies BPA’s capabilities, and reciprocally, BPA ensures the swift implementation of AI’s recommendations, creating a seamless and efficient system.

    Related: Automation Is Becoming a Business Imperative: Don’t Wait Until It’s Too Late

    Identifying the areas for integration

    If you’re wondering where to begin integrating AI into your business, look no further. Start by identifying sluggish business processes that could benefit from AI, such as customer service. Modern chatbots, continually learning and improving, can swiftly respond to customer inquiries, maintain engagement and even handle order processing. AI and automation can also revolutionize your supply chain and inventory management. They enable you to predict and preempt disruptions.

    Setting realistic goals

    While lofty dreams can be inspiring, it’s crucial to ground ourselves in reality when setting business goals. Understanding how AI and BPA can contribute to these objectives is a key step in prioritizing what’s truly important. It’s equally essential to recognize the boundaries of AI and BPA.

    Setting realistic and achievable targets that consider these limitations is a wise approach. Lastly, remember that success often comes from an iterative implementation process. By gradually introducing AI and BPA into your operations, you can optimize, learn and grow, embodying the principle that slow and steady wins the race.

    Related: How to Use Automation (and Avoid the Pitfalls) as an Entrepreneur

    The financial aspect

    The financial aspect of implementing AI and BPA is crucial, but it doesn’t have to be a bank-breaking endeavor. It’s about finding cost-effective solutions, keeping in mind that every penny saved contributes to your earnings.

    Moreover, it’s essential to consider the return on investment (ROI) when investing in these technologies. Ensuring you’re getting your money’s worth involves taking the time to calculate the expected ROI, thereby maximizing the financial benefits of your investment.

    Real-world applications

    The proof of real-world applications of AI and BPA is evident in numerous businesses that have embraced these technologies and are now enjoying the benefits. Amazon, a titan of efficiency, employs AI and BPA to enhance everything from customer recommendations to delivery routes, functioning like a well-oiled machine.

    Similarly, Netflix, the empire of binge-watching, utilizes AI to seemingly predict your viewing preferences, offering a personalized user experience. These examples demonstrate the transformative power of AI and BPA in the business landscape.

    Related: A Guy Is Using ChatGPT to Turn $100 Into a Business Making as Much Money as Possible. Here Are the First 4 Steps the AI Chatbot Gave Him.

    Legal and ethical considerations

    Navigating the legal and ethical landscape of AI and BPA is akin to staying on the straight and narrow, where exercising great power demands great responsibility. It’s crucial not to throw caution to the wind but consider the implications of data privacy.

    Transparency with customers about their data usage is paramount in this digital age. Furthermore, the game of AI must be played by the rules, ensuring fairness and avoiding bias. It’s essential to scrutinize AI algorithms to prevent discrimination and maintain a fair and unbiased digital environment.

    Don’t reinvent the wheel! Learn from industry experts like Elon Musk. Where do we even start with this guy? He’s like a real-life Tony Stark. Elon believes in pushing the boundaries but with caution. He often stresses the importance of understanding and controlling the risks associated with AI.

    Be bold but not reckless. When implementing AI and BPA, ensure you have safeguards in place. Regularly review the ethics and implications of your AI applications.

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    Gajura Constantin

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  • The Secret to How Businesses Can Fully Harness the Power of AI | Entrepreneur

    The Secret to How Businesses Can Fully Harness the Power of AI | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Generative AI — when harnessed correctly — has the potential to revolutionize the way companies operate, innovate and compete. But one question still remains: How can businesses effectively tap into this potential? The answer lies in setting up an AI center of excellence that combines IT with learning and development to serve the needs of business operations.

    Any company can set up an AI center of excellence, large or small — and smaller ones can be more nimble and flexible in setting one up, allowing them to get ahead of their larger competitors. And that center of excellence itself requires a two-pronged approach to establish what it means to be excellent at using AI: observing the application of generative AI in other companies and understanding its use within their own ranks.

    Related: What Is Artificial Intelligence (AI)? Here Are Its Benefits, Uses and More

    Learning about AI best practices

    The first step in the journey towards effective use of generative AI is to look outward. Companies that have already integrated AI into their operations can serve as valuable case studies. These pioneers have navigated the challenges of implementation, and their successes and failures provide a roadmap for others to follow.

    For instance, a number of companies report having marketing teams using AI to generate creative content, while the sales team uses it to predict customer behavior. By identifying these practices, companies can consolidate their efforts and create a unified strategy for AI usage.

    The second prong of this approach involves looking inward. Companies must understand how their own employees are already using generative AI. This internal audit can reveal surprising insights about the company’s current AI capabilities and areas for improvement. This internal exploration is not just about finding existing uses of AI, but also about encouraging employees to come forward with their ideas and experiences. This can foster a culture of innovation and make the integration of AI a company-wide endeavor.

    However, it’s at this step that I most often see problems in companies for which I consult on integrating AI into their workflow. Initial evidence suggests that AI can significantly boost personal efficiency for individual employees by anywhere from 20% to 70% for many tasks, with the quality of output surpassing that of tasks completed without AI assistance. This is a testament to the transformative power of AI when used as a personal productivity tool, especially when operated by someone within their area of expertise.

    However, it’s important to note that the current state of AI primarily enhances individual productivity rather than organizational productivity as a whole, as highlighted by Ethan Mollick, a professor at the Wharton School of the University of Pennsylvania. This is because AI, in its current form, makes for rather unpredictable software. It can be inconsistent, prone to error and generally doesn’t behave in the way that traditional IT is expected to behave. As a result, AI doesn’t scale well in its current state.

    But don’t let this deter you. The key is to recognize the potential of AI as a personal productivity tool and to harness this potential within your organization. By doing so, you can empower your employees, improve efficiency and pave the way for the future integration of AI on a larger scale. As AI technology continues to evolve, we can expect it to become more reliable and scalable, eventually becoming an integral part of organizational productivity.

    Establishing an AI center of excellence

    Once a company has gathered this information, the next step is to establish a center of excellence for using Generative AI. My clients found the most success when this center was co-led by a team from IT, who can handle the technical aspects of AI, and HR, who can oversee learning and development.

    The center of excellence serves as a hub for AI-related activities within the company. It provides guidance, sets best practices, and ensures that all departments are aligned in their use of AI. This centralized approach ensures that AI is used effectively and ethically throughout the company. Moreover, the center of excellence can also serve as a platform for continuous learning and development, keeping the company up-to-date with the latest advancements in AI.

    But what makes a center of excellence truly successful? There are several guiding principles that underpin its operation, each of which can be applied specifically to the integration of generative AI.

    Firstly, the center of excellence should have a clear vision and mission. This includes defining the strategic objectives of the center and how it aligns with the overall business strategy. For instance, if a company’s strategy is to leverage generative AI for content creation, the center’s mission could be to develop and implement best practices for using AI in this area.

    Secondly, the center of excellence should foster collaboration and communication across the organization. It should act as a bridge between different departments, facilitating the sharing of knowledge and best practices. For example, if the marketing team is using generative AI to create content, their insights and experiences could be shared with other departments through the center of excellence.

    Thirdly, the center of excellence should focus on continuous improvement. This involves regularly reviewing and refining its processes and practices to ensure they remain effective and relevant. In the context of generative AI, this could involve staying abreast of the latest AI technologies and updating the company’s practices accordingly.

    Lastly, the center of excellence should be committed to promoting a culture of learning and development. This includes providing training and resources to employees to enhance their AI skills and knowledge. For example, the center could offer workshops on using generative AI tools, or provide resources for self-learning.

    Establishing a center of excellence is a critical step in harnessing the power of generative AI. By adhering to these guiding principles, companies can ensure that their center is effective, relevant and capable of driving AI integration across the organization.

    The ultimate goal: Serving business operations through an AI center of excellence

    The ultimate goal of this two-pronged approach and the establishment of a center of excellence is to serve business operations. Generative AI has the potential to streamline processes, improve efficiency and drive innovation. By learning from others, understanding internal usage and establishing a centralized hub for AI, companies can harness this potential and transform their operations.

    The center of excellence plays a pivotal role in this transformation. It serves as the nerve center of the company’s AI initiatives, guiding the integration of generative AI into business operations. Whether it’s using AI to automate routine tasks, generate creative content or predict market trends, the center of excellence ensures that these initiatives align with the company’s strategic objectives and adhere to best practices.

    For instance, if a company wants to use generative AI to streamline its customer service operations, the center of excellence could develop a roadmap for this initiative. This could involve identifying the best AI tools for the job, training customer service staff on how to use these tools, and setting up a system for monitoring and improving the AI’s performance.

    Moreover, the Center of Excellence also plays a crucial role in fostering a culture of continuous learning and innovation. It keeps the company up-to-date with the latest advancements in AI, encourages employees to explore new ways of using AI, and promotes a culture of experimentation and risk-taking. This culture of innovation is key to harnessing the full potential of generative AI and staying ahead of the competition.

    Related: AI Can Make Some Jobs More Difficult and Time-Consuming — Here’s How

    Conclusion

    The journey towards effective use of generative AI may seem daunting, but with the right approach, it can lead to unprecedented growth and success. So, take the leap, look outward and inward, establish your Center of Excellence, and watch as AI propels your business into the future. Remember, the future of business is not just about adopting new technologies, but about understanding them, integrating them effectively, and using them to drive operational excellence. The Center of Excellence is your guide on this journey, leading the way towards a future powered by generative AI.

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    Gleb Tsipursky

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  • 5 Ways HR Can Drive Success In Today’s Turbulent Times | Entrepreneur

    5 Ways HR Can Drive Success In Today’s Turbulent Times | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    We live in an era in which the role of human resources is often challenged: media reports routinely fawn over the ability of artificial intelligence to replicate many “traditional” HR tasks, the move to remote work (and the switch back) has many HR teams struggling to find their place to support shifting workplace cultures, limited people budgets have required increasingly difficult choices and the weakened economy have left many HR teams with skeleton crews, many of which report they are stressed out – and burned out.

    Against this backdrop, now is an excellent time to take stock of the future of human resources. In this age of turbulence and transformation, how and where can HR teams focus on making the most significant impact on their organization?

    1. Build Employee Commitment – From Day One

    HR is traditionally the first point of contact for newly hired employees, but the experience can often be underwhelming. The tasks associated with onboarding are often mundane and standardized.

    In the last few years, many companies have focused on maximizing engagement and excitement by sending or providing employees with company merchandise, notes from their CEOs, or even decorations for their home office. These steps help make an employee feel welcome but don’t drive real commitment.

    Outside of the C suite, HR is the department best positioned to help new employees understand why their company exists and how it contributes to society while building commitment around the kind of corporate culture and initiatives the organization is driving. It takes more than words on a screen to communicate whether employees have bought into a company’s broader purpose.

    Focus on ways to help every employee understand their role in bringing the company’s purpose to life, showing employees why the work they do will matter every day in the lives of others, ask them to think about how they can help further the mission of your organization and to find ways to improve in that goal constantly. You will jump-start commitment and maximize effort from day one.

    Related: Watch Out for These 5 Artificial Intelligence Problems in HR

    2. Relentlessly drive focus to drive results

    In a constantly shifting world, priorities seem to change quickly. Most employees report they are overwhelmed and don’t have the basic time to think — or work — on their given tasks. HR is in a prime position to help organizations drive focus.

    • Job Clarity: ensure every employee clearly understands their role and what is expected of them. Go beyond job descriptions and onboard talent by providing a more robust understanding of their role and how it fits into the broader picture of their respective departments and the company.
    • Goal setting: setting clear, stretch goals that are difficult but achievable can disproportionately drive long-term performance. Set organizational goals using simple communication tools like the “one-page strategy” concept articulated by One Page Solutions. Then, cascade these goals to every employee. Calibrate goals to ensure you don’t have unintended conflicts, train managers on prioritizing and focus your people on what matters most.
    • A culture of feedback: the best, high-achieving cultures are comfortable giving regular feedback up, down and across the organization to help everyone improve. Train employees on the art and science of feedback: how to make observations first, then assessments, describe impacts and provide ideas to make improvements.

    3. Pair people with technology and champion the possibilities

    Generative AI will absolutely transform how work gets done. Embrace it for the benefit of your team, their workload and all employees who will appreciate the responsiveness. Imagine an AI script that walks an employee through a series of choices to pick the most appropriate medical, dental and vision plans during Open Enrollment. Not only does this save time, but it could also be customized based on their specific situation, life events for them or their family, and more. Consider standardized assessments, training tasks and even videos as potential areas to explore with AI.

    Related: The Benefits and Drawbacks of AI Integration in HR Departments

    4. Create global talent plans

    Work-from-home and remote jobs are likely here to stay, despite the current shift and ask from many leaders coming back into the office regularly. That only underscores the need for corporate leaders, HR included, to go the extra mile to make human connections with remote employees ― and to understand the cost-benefit analysis of remote work.

    HR teams can help coordinate strategies to add more rigor to the remote work decision process: Which jobs need to be done in the office? Which are better outsourced to lower-cost locations? What locations best fit the work your company needs?

    HR can help identify lower-cost talent hubs as potential sources for remote work, effectively maximizing an organization’s productivity while minimizing expenses. HR should assess if there are clusters of talent that are cheaper and easier to recruit from, but also whether the savings from employing a remote strategy is worth the trade-offs such as in-person oversight, team camaraderie and cohesive workplace culture.

    Related: Top 5 HR Challenges You Must Overcome When Expanding Globally

    5. Instill a diverse culture to create more ideas

    A more diverse team is also a more innovative team. In times of financial stress, pressure can build to push diversity, equity and inclusion practices to the back burner. But an important function of HR teams will always be their ability to apply data to safeguard against implicit bias when hiring and recruiting employees. In the long run, this can be a competitive business advantage.

    As organizations start to employ talent more globally, it’s increasingly important to consider ethnic diversity, understand different cultures and learn how best to work with people from unfamiliar backgrounds.

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    Jesse Meschuk

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  • How AI Can Protect and Improve Your Business | Entrepreneur

    How AI Can Protect and Improve Your Business | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    In the ever-evolving landscape of the business world, resilience is key. The ability to weather storms, adapt to change and emerge stronger is what separates leaders from followers. However, this resilience isn’t a product of sheer will alone — it requires a certain degree of foresight, strategy and an arsenal of powerful tools. One such tool that’s proving to be increasingly invaluable is artificial intelligence (AI).

    During periods of turbulence, AI can serve as a game-changer for businesses, equipping them with the necessary capabilities to not only withstand challenges but also to seize opportunities and forge a path towards growth.

    This article will delve deep into the heart of this topic, exploring the manifold ways in which AI can act as a protector and enhancer of businesses during challenging times. We aim to provide you with insights, examples and action points — strap in for an enlightening journey into the world of AI in business resilience and growth.

    Related: What Is AI, Anyway? Know Your Stuff With This Go-To Guide.

    Leveraging decision-making AI for proactive problem-solving and decision making

    AI can be a powerful tool for detecting and resolving issues before they become full-blown crises. Through data analysis and predictive analytics, AI can alert you to real-time potential issues, from supply chain disruptions to unexpected shifts in market demand.

    When the stakes are high, and decisions need to be made quickly, AI can help businesses navigate uncertainty. AI can provide detailed insights and recommendations through machine learning algorithms that enable data-driven decision-making.

    Related: Redefining Problem-Solving With AI

    AI-Powered risk management

    Risk management is crucial for any business, but during challenging times, its importance magnifies. By predicting market volatility and providing insights into potential threats, AI can help you mitigate risks effectively.

    Artificial intelligence (AI) is revolutionizing the way businesses anticipate market volatility. Traditionally, predicting market trends was a laborious task that required teams of analysts to sift through colossal amounts of data. Today, AI simplifies this process, offering faster and more accurate predictions.

    AI leverages sophisticated algorithms and machine learning (ML) techniques to scan through huge data sets that humans would struggle with. It captures patterns, analyzes anomalies, and interprets economic indicators to give reliable predictions about market volatility.

    Example: Hedge funds like Bridgewater Associates and Renaissance Technologies employ AI to evaluate complex financial markets. They use these AI systems to predict potential stock price changes based on many factors, including economic indicators, geopolitical events and even social media sentiment. With the help of AI, these firms can process and interpret information far quicker than humanly possible, gaining a competitive edge in predicting market shifts.

    Spotting potential threats with AI

    Security threats pose a significant risk to businesses. AI-powered systems can detect anomalies, flag potential threats and even take corrective action, ensuring your business remains secure.

    The use of AI in identifying potential security threats goes beyond conventional practices. With its deep learning capabilities, AI can examine large amounts of data in real time and find patterns that might escape human detection.

    Related: How AI Is Shaping the Cybersecurity Landscape — Exploring the Advantages and Limitations

    For example, a financial institution could use AI to analyze millions of daily transactions. Instead of simply flagging large transactions as potentially fraudulent, AI can identify more subtle patterns that indicate illegal activity. It could look at the frequency of transactions, unusual transaction sizes for a specific customer, or even transactions at odd times. This provides more in-depth insights into the potential threats that businesses could face.

    Businesses can take the following steps to leverage AI in spotting potential security threats:

    1. Implement AI-based Security Systems: Businesses should look to integrate AI-driven security software that provides real-time threat detection. This can help not only in identifying threats but also in taking proactive measures to neutralize them.

    2. Continuous Training of AI Models: AI models learn from experience. Training these models on the latest threat patterns can improve their detection capabilities.

    3. Invest in AI Talent: Having AI specialists on the team can be a significant asset. They can help optimize AI models, interpret the results, and formulate effective response strategies.

    Gaining a competitive edge with AI

    Despite the challenges, tough times can present opportunities for businesses ready to innovate. Using AI, you can gain a competitive edge and position your business for future success.

    AI for automating mundane tasks — AI has already revolutionized several sectors by taking over repetitive and mundane tasks, thus freeing up the workforce to engage in more strategic and creative pursuits. For instance, in the retail industry, chatbots have been programmed to handle basic customer inquiries, leaving more complex queries to human representatives. This not only improves efficiency but also enhances customer experience.

    AI in product development — AI is also changing the face of product development. One example can be seen in the automotive industry. Companies like Waymo, Tesla, and Uber are using AI and machine learning to develop self-driving vehicles. These cars use a combination of sensors and advanced machine-learning algorithms to navigate roads and traffic more efficiently than a human driver could.

    AI in predicting customer needs — AI and machine learning can also aid businesses in better understanding and predicting customer needs. For instance, Spotify uses AI algorithms to analyze users’ listening habits and suggest music that aligns with their tastes, creating a highly personalized user experience. Similarly, Amazon uses predictive analytics to recommend products to users based on their browsing and purchasing history.

    Creating personalized customer experiences — Customers crave personalization in today’s digital world. AI can analyze customer behavior, enabling businesses to offer tailored experiences that boost customer satisfaction and loyalty.

    Artificial intelligence offers the unprecedented ability to collect and analyze vast amounts of data, including customer preferences, shopping patterns, and interaction histories. This allows businesses to create highly personalized experiences that meet and exceed customer expectations.

    Examples

    1. Netflix: A perfect example of personalization driven by AI is Netflix. Their AI algorithms analyze viewership data to suggest shows and movies based on what the user has watched before, their ratings of the previous content, and how they interact with the service. This has led to improved customer experience, higher viewer engagement, and decreased churn rate.

    2. Amazon: Amazon uses AI for product recommendations. If a customer is buying a phone, Amazon will suggest related items like a phone case or screen protector based on other customers’ buying patterns. This personalization makes the shopping experience more seamless and increases the likelihood of additional purchases.

    The Future of AI in Business

    With the increasing capabilities of AI, it’s clear that its role in business will continue to grow. The future of AI in business looks promising, potentially revolutionizing how we work.

    The role of AI in post-pandemic recovery is not just significant but transformative. AI technology provides tools and methods to streamline operations, reduce costs, and drive growth, acting as a powerful engine for businesses to rebuild and adapt to the new normal.

    The global pandemic catalyzed digital transformation, pushing businesses to rethink their operations and strategies. The digitization that was anticipated to occur in a few years got condensed into months, with AI being at the forefront.

    For example, traditional brick-and-mortar retailers that were hit hard by the pandemic had to shift online. AI played a significant role in this transition, from developing intuitive and user-friendly e-commerce platforms to powering sophisticated recommendation engines that enhance the customer shopping experience.

    Potential challenges and ethical considerations

    The use of AI isn’t without its challenges. As businesses increasingly rely on AI, issues related to data privacy, ethics and job displacement may arise, requiring thoughtful consideration and responsible AI practices.

    In a world where change is the only constant, improving your business with AI is no longer a vision of the future but an essential strategy for today. The current era of technological advancement offers both challenges and opportunities, and the smart use of AI will determine who comes out on top.

    AI is no longer an abstract concept but a real and tangible force in the business world, driving resilience, spurring innovation and powering growth. It’s the ally that works round-the-clock, the silent partner that offers deep insights, and the game-changer that provides businesses with an undeniable competitive edge.

    As businesses around the globe grapple with various challenges, from economic downturns to global pandemics, the ability to harness the power of AI becomes not just desirable but critical. Yes, the path may be riddled with hurdles, such as data privacy concerns and ethical considerations, but the benefits of integrating AI into your business strategy far outweigh the potential drawbacks.

    The future of business lies in AI — those who embrace it will lead, and those who ignore it may well find themselves struggling to catch up. So, here’s to a future where AI and business go hand in hand, a future where resilience is a given, and growth is a sustained trajectory!

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    Gajura Constantin

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  • Can We Trust AI For Language Translation? | Entrepreneur

    Can We Trust AI For Language Translation? | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Are you fluent in speaking your customers’ language? Research indicates that 65% of people prefer consuming content in their native tongue and 76% prefer products that provide information in their own language.

    To appeal to international buyers, establish meaningful connections and remain competitive, businesses must ensure that their content is accessible in the native language of their customers.

    AI has become the talk of the town for making its way into every industry and fundamentally changing how we work. So, is AI language translation technology advanced enough to meet the language requirements of global companies?

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    Nikita Agarwal

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  • AI’s Growing Impact on Marketing in the Legal Industry | Entrepreneur

    AI’s Growing Impact on Marketing in the Legal Industry | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    The legal space is ultra-competitive. Attorneys and legal professionals will already know this not-so-secret fact. Marketing yourself and your team is vital to attract clients to your firm/organization.

    Historically, the legal space has been dominated by bombastic personalities taking to television and billboards that line the busy highways of America. While both methods have their positive attributes, a trend has begun to emerge throughout the industry; the rise of AI integration into general marketing.

    AI‘s growing prevalence in the industry and the general public has confused many people. So let’s start here, what exactly is AI?

    Artificial intelligence (AI) is defined by Britannica as “the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.”

    Related: Small Businesses Can and Should Consider Investing in AI Technology — With a Cautious Approach

    AI has long been a staple tool among professionals in the legal field. Many law firms or legal organizations feature an AI chatbot on their homepage and landing pages. These bots assist with the intake of new clients. The bots are trained to collect relevant information and direct clients to helpful links and pages on a firm’s site.

    AI bots like ChatGPT or Google’s Bard primarily sparked the current buzz surrounding AI. Both of these AI bots are conversational AIs. Both have shown to have extensive ability to generate content quickly. Savvy marketers know that content plays a significant factor in converting potential clients and helping drive you up the Google rankings.

    Some marketing professionals use Bard and ChatGPT to transform how they generate content internally. VentureBeat’s editorial director Michale Nuñez recently disclosed that his team is using AI to assist in content generation. The exact details of the full scope of AI-generated content were not fully explained.

    Deep conversations regarding its ethical framework are emerging with the prevalence of AI-generated content. Concerns regarding plagiarism and misinformation are among the most common points of contention. Is it ethical to eliminate the human element associated with written content? How deep is the oversight on this content before it’s published? Can AI show an inherent bias?

    The debate on the ethical ramifications is still ongoing and unclear. However, this is not stopping many marketers from dipping their toes into the pool. Beyond Google Bard, the company wants to integrate AI assistance into general searches.

    Google has been very active in looking to integrate AI into more aspects of its services beyond Bard. In the company’s own words, they are “supercharging” searches. Through the integration of generative AI, Google is working to simplify searching; one way is by suggesting questions related to the topic.

    Related: Why AI is Changing the Future of Personal Branding

    Currently, Google is allowing users to experiment with AI in searches. Upon searching a term in the experimental new system, users are given the option for AI to suggest content based on their inquiry.

    If a potential client were to look up a search term like “How much does a personal injury lawyer cost,” they would likely see a list of local PI attorneys optimizing for that content. The AI-empowered may suggest an inquiry like “How much does a PI attorney charge?”

    The AI bot will pull a snippet from a website with relevant inquiry to the search and attempt to answer the question without users having to click the link. In this case, it will be pertinent regarding the cost of attorneys. However, they are encouraged to follow the link if the inquiry is sufficient or need additional information.

    For marketers working in the legal field, this is especially interesting. Take, for example, a search for a local personal injury lawyer. In the trial, we tested this by searching for a PI lawyer near me. The AI suggested a handful of local attorneys and a follow-up question for the inquiry, which would offer more content.

    Some marketers may question how different this is compared to already existing searches? In short, they’re different. Comparing a search of the same topic in the AI-recommended environment versus the standard search shows two different results in the featured snippet and several ranking pages for the search term.

    This isn’t always the case, though. Searching for “PI lawyers near me” in the AI search generated similar results from the traditional search, which featured the Map Pack at the top.

    There is concern about whether an AI-powered bot can decipher content to determine fact or fiction. The more these new AI-powered tools are used, the more they will learn and grow.

    Factual, informative, and educational content may be critical if AI prioritizes learning. The best advice for creating high-converting content may be to write from an expert point of view.

    Related: What Happens When Self-Driving Cars Crash? The Legal Ramifications of Automation

    As AI becomes increasingly integrated into the daily activities of marketing professionals, the narrative and scope of how to optimize content will surely change. Already, AI is being used to optimize content for search engines, moderate chats, create web pages, and even more.

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    Hank Stout

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  • 4 Recession-Defeating Marketing Strategies | Entrepreneur

    4 Recession-Defeating Marketing Strategies | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    As a marketing exec (and someone who works with dozens of other marketing execs to grow their brands), I am bone-tired of hearing about marketing in a recession.

    I don’t mean to minimize the challenges we’ve all faced over the last year-plus; my team has seen them firsthand, and the fact is that consumer confidence remains low (possibly because everyone’s been hearing about recession fears for months). But I think it’s time to change the narrative and start planning for life when marketing budgets recover.

    What’s telling me it’s time? A few things.

    First, despite what you may have heard if you’re in the tech echo chamber, the world didn’t end when SVB went out of business; in fact, if you look at the last year of the New York Stock Exchange numbers, SVB looks like a pothole on the road to recovery from October 2022.

    Second, unemployment remains extremely low: 3.5% as of March 2023.

    Third, as I write this, the inflation rate in the U.S. is 4.98%, the lowest it’s been in nearly two years.

    Fourth, and this is admittedly only important to marketers, one of the most powerful ad platforms out there (Facebook) is getting its mojo back at levels approaching the pre-iOS14 days, thanks in part to the success of its AI-driven Advantage+ audience targeting.

    I am an admitted optimist, but I think combining those factors is reason enough to start planning for a rosier advertising picture. Let’s dive into exactly what that means.

    Related: Why You Should Maintain (or Even Increase) Your Marketing Budget in a Recession

    1. Optimize your immediate profit picture

    The first thing you want to do (which I would tell you in any kind of economic climate) is to get the absolute most out of your current and about-to-be customers. In other words, maximize your average cLTV (customer lifetime value).

    This might include upsells, retention strategies like membership clubs and exclusive discounts, upgraded and more frequent account check-ins, etc. Invest in learning what works to keep your customers happy and purchasing now, and you’ll build mental muscles and actual tools and processes to carry forward. (A huge bonus: you’ll get more revenue without much incremental marketing spend.)

    2. Test to find new areas you’ll be able to leverage

    The next biggest priority is to test: new strategies, new advertising channels and new functionality within existing advertising channels.

    New channels can give you lower-cost growth if you’re struggling to improve CPA (cost per acquisition) on your current channels, presumably starting with Google and Facebook.

    New features on existing channels, like the Advantage+ above on Facebook and Performance Max on Google (the jury’s still out on the latter), are extremely important to analyze now. Learning the strengths and limitations of features the major channels are doubling down on — especially those that leverage AI, which is getting more powerful by the day — is essential.

    As for strategies, leaning into AI, in general, is one I would recommend now, and that recommendation won’t change if the economy takes a downward turn. From media mix modeling to creative production (video, copy, images, etc.) at scale, AI is already providing ways to bring low-cost sophistication and depth to marketing campaigns.

    Related: The Future Founder’s Guide to Artificial Intelligence

    3. Open the top of your funnel with creative

    I still hear many marketers segment brand marketing from direct-response marketing. Still, I don’t make that distinction because you should always be marketing your brand, even in the most conversion-oriented ads. That said, this is a time to invest in storytelling — starting with tests that help you confirm or refine the messaging and creative resonating with your core audience’s needs and desires.

    After all, there’s no better time to build creativity yourself and/or on a budget. Use AI tools like Jasper, Canva, Design.ai and even ChatGPT; test a range of micro-influencers to gauge the effectiveness of styles and messaging. (By the way, don’t be surprised to learn that kids on TikTok are more effective in today’s digital landscape than the highest-paid brand marketers could be.)

    The other factor here is that good, on-brand creative can help bring new users into your purchase funnel even if they don’t buy right away. That may be an especially cost-effective ploy right now as advertisers remain hesitant to spend where they don’t see an immediate return. We’re seeing great ROI for brands willing to spend on lower-cost engagements like link clicks, which I recommend you test before competitors catch on.

    Related: 6 Proven Business Marketing Strategies to Grow During a Recession

    4. Don’t forget the fundamentals

    Even if you focus on the above and start to see immediate returns, don’t stray too far from proven strategies. Cut inefficiencies where you see them, and don’t make big investments without knowing how you’ll define or measure success. If you’re suspicious of long-term hiring commitments, even in a landscape with lots of incredible talent looking for marketing work, explore the idea of freelance or contract work to get traction before investing in full-time positions.

    Above all, keep an eye peeled for growth vehicles. Where efficiency gains have been the name of the marketing game for a few quarters now, I’m betting the ability to recognize opportunities to go on the offense is about to pay dividends.

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    Bryan Karas

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  • 3 Entrepreneurial Trends to Watch in 2023 | Entrepreneur

    3 Entrepreneurial Trends to Watch in 2023 | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    There is a lot of uncertainty about where the economy is heading right now. But as someone who has served and observed small businesses through many economic cycles, I believe determined entrepreneurs can make it in any climate.

    Yes, entrepreneurs must acknowledge and be aware of what’s happening externally. But, I’ve also always believed entrepreneurs can create the outcomes they want despite challenging macroeconomic circumstances. To do so, they need to take advantage of the opportunities in the existing environment and work through the challenging aspects as they drive toward success.

    To understand how folks are doing that today, I recently discussed these issues with a panel of small business owners I know and respect. Here are three trends that emerged from that conversation.

    1. A slow economy requires repositioning and refocusing

    What the economy has been doing recently is what all of us who were economics majors call an “economic correction.” Sounds a lot nicer than it feels, doesn’t it? But in reality, these corrections are necessary to create a healthier economy. Of course, business owners struggling from economic setbacks aren’t going to see them that way. At least not right away.

    But this is why the first important entrepreneurial trend worth highlighting is a mindset shift. Instead of viewing the economy as a foe, successful entrepreneurs accept that the economic adjustment is happening and then figure out how to work with it.

    For instance, when the economy — and lead acquisition — slows down, business owners are forced to become more efficient and get clarity about who they serve. By doing so, you can make sure you’re spending time with the right customers in the first place. Then, you can meet them where they are, help them get through their own challenges during this time and keep your company moving forward.

    Related: How to Prepare Your Business For Economic Downturn

    2. Talent challenges and opportunities

    Some of the business owners I spoke with mentioned that there have been both advantages and disadvantages in hiring talent recently. Ever since Covid, many people have branched out, come up with their own ideas and wanted to work for themselves.

    This can make it more difficult for the entrepreneur to get the right full-time people in place for their team, but it also means that access to remote and fractional talent is greater today than ever before. So even if entrepreneurs can’t find local, qualified personnel for a role, there are fewer geographic limitations today. All of the pandemic-induced and economy-fueled changes people have made have allowed business owners to bring on team members worldwide to fulfill their needs.

    Since people are embracing more freedom in their work, small businesses can attract top talent by offering flexible work arrangements, like remote work options or flexible schedules. This can be attractive to employees seeking better work-life balance.

    Additionally, small businesses can provide opportunities for employees to develop a wide range of skills and gain valuable experience across different business areas. This can appeal to individuals seeking professional growth and a diverse career path.

    Related: Work-Life Balance is Possible — And It’s Not as Hard to Achieve as You Think

    3. Embrace AI now or pay the price later

    Of course, my small business owner colleagues and I couldn’t talk about the economy and entrepreneurial trends without discussing artificial intelligence (AI). The economic landscape has driven an acute need for efficiency, which means getting comfortable using automation and technology. It saves time, reduces team members’ workloads and helps them do more with less.

    One of the owners I spoke with said his company has already fully embraced AI for its reliability, resiliency and ability to scale. They’re using AI for various tasks that can be automated, like creating presentations in numerous languages and disseminating them worldwide, which frees their employees to focus on the more complex projects that require critical thinking and creativity. This keeps their costs down and their output high.

    Related: Why Elon Musk and Other Tech Experts Are Worried About Artificial Intelligence

    Whether entrepreneurs are ready to get as sophisticated with the technology as this company is or not, AI is here, accessible and useful in myriad ways. The companies that will make the most of the current time, despite the economic fluctuations, are those that use technology like automation and AI to get ahead.

    There has been a lot of fear among entrepreneurs about the economy, and it’s time for that narrative to change. Research firms, like McKinsey, have found that “the moves companies make now (during a recession) could account for half of the difference in total shareholder returns (TSR) between leading and lagging companies over the next business cycle.”

    In other words, what you do now matters. By refocusing your efforts to align with the state of the economy, tapping into new talent possibilities and getting comfortable with AI, business owners can not only ride this wave but even attain real growth throughout it.

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    Clate Mask

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  • How AI is Transforming SEO for Small Businesses | Entrepreneur

    How AI is Transforming SEO for Small Businesses | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Once upon a time, the SEO game was all about keywords and backlinks. The more you had of each, the higher your site would climb on the search engine results page. But boy, how the times have changed! Today, we’re standing on the brink of an AI revolution that’s flipping the script on SEO as we know it.

    Indeed, AI is whipping up a storm of transformations in the SEO world, and small businesses are finding themselves right at the heart of this tempest. In the fast-paced, ever-evolving realm of SEO, the old adage seems to be spot on: the only constant in life truly is change.

    These changes are not just cosmetic touch-ups or minor tweaks; they fundamentally alter how we approach SEO. It’s as if we’re explorers navigating uncharted territory in the vast landscape of digital marketing. And the compass guiding our way? Artificial Intelligence.

    AI is not merely a tool in this journey; it’s the vehicle driving us forward. It’s reshaping the roadways of SEO, constructing new bridges over the gulfs of user intent, and tearing down the old walls of keyword stuffing and link-spamming.

    And who’s in the driving seat of this transformation? Small businesses. Yes, it’s the small businesses, the underdogs of the corporate world, that are seizing the opportunities offered by AI, revolutionizing their approach to SEO, and taking their digital presence to new heights.

    Related: Why Combining Public Relations and SEO Will Propel Your Business in Today’s Digital Landscape

    Understanding AI in SEO

    Artificial intelligence is no longer the stuff of science fiction. It’s here, it’s now, and it’s making a big splash in the SEO pool. AI algorithms, like Google’s RankBrain, are changing the rules of the game, making it more about user intent and less about keyword stuffing.

    The shift from keywords to user intent — Long gone are the days of mindlessly stuffing your web content with keywords. Today’s AI-driven search engines focus more on understanding the user’s intent. They’re smart enough to read between the lines, understand the context and deliver results that best match the user’s needs.

    Personalization and predictive analysis — AI is taking personalization to a whole new level in SEO. By analyzing user behavior, AI can predict what a user is likely to search for next and serve them customized results. This level of personalization is a game-changer for small businesses looking to connect with their target audience.

    Machine learning and SEO — Machine Learning, a subset of AI, plays a pivotal role in SEO. Let’s delve into this fascinating world and see how it’s shaking things up. Machine Learning algorithms can study and learn from user behavior. This understanding allows search engines to deliver results that are more relevant and satisfying to individual users.

    AI and local SEO

    Local SEO is an incredibly critical aspect for small businesses. It’s all about ensuring that people in your local area can find you easily when they’re searching for services or products you provide. And guess what? AI is stepping up to the plate and making a real difference in this arena too.

    With the advent of AI, the rulebook for local SEO has been rewritten. With its ability to analyze massive amounts of data and discern patterns, AI is taking local SEO from a general shotgun approach to a highly focused sniper’s precision.

    In the realm of local search results, AI is not just making a splash; it’s creating waves of change. By honing its understanding of user intent and deciphering contextual nuances with increasing finesse, AI is taking the accuracy of local search results to new heights. This means that small businesses, from the corner bakery to the neighborhood bike repair shop, are more likely to find themselves in the spotlight of potential customers in their immediate vicinity.

    The new scribe in content creation

    It’s time to think beyond the confines of search engines. AI is not just revolutionizing the way these digital librarians work; it’s also transforming the art and science of content creation.

    AI tools are now stepping into the shoes of content creators, wielding the chisel and hammer to craft content that’s primed for search engines. These technological marvels save businesses a wealth of time and resources, handling the heavy lifting of content generation.

    But AI isn’t just creating content from scratch. It’s also stepping into the editing room, helping businesses fine-tune their existing content based on SEO best practices. With AI’s insightful suggestions for improvement, businesses can significantly enhance their visibility on search engines, like a beacon shining brighter on the digital horizon.

    Related: What’s Holding Back the Robot Revolution? We Humans.

    Data privacy: The elephant in the room

    As AI algorithms evolve, becoming more intricate and intelligent, the whispers of data privacy concerns are growing louder. In this era of heightened awareness about data privacy, businesses, especially small ones, need to tread carefully. They must ensure they’re wielding the power of AI responsibly, complying with all the relevant privacy laws, and respecting the sanctity of user data.

    Like any powerful tool, AI comes with the risk of overdependence. While AI can be a valuable ally in the SEO battlefield, businesses must remember that it’s not the silver bullet for all their SEO needs. The human touch – creativity, intuition and emotional intelligence — still holds immense value.

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    Gajura Constantin

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  • Elon Musk and Other Leaders Are Worried About AI. Here’s Why | Entrepreneur

    Elon Musk and Other Leaders Are Worried About AI. Here’s Why | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    “The age of AI has begun,” Bill Gates declared this March, reflecting on an OpenAI demonstration of feats such as acing an AP Bio exam and giving a thoughtful, touching answer to being asked what it would do if it were the father of a sick child.

    At the same time, tech giants like Microsoft and Google have been locked in a race to develop AI tech, integrate it into their existing ecosystems and dominate the market. In February, Microsoft CEO Satya Nadella challenged Sundar Pichai of Google to “come out and dance” in the AI battlefield.

    For businesses, it’s a challenge to keep up. On the one hand, AI promises to streamline workflows, automate tedious tasks and increased overall productivity. Conversely, the AI sphere is fast-paced, with new tools constantly appearing. Where should they place their bets to stay ahead of the curve?

    And now, many tech experts are backpedaling. Leaders like Apple co-founder Steve Wozniak and Tesla’s Elon Musk, alongside 1,300 other industry experts, professors and AI luminaries, all signed an open letter calling to halt AI development for six months.

    At the same time, the “godfather of AI,” Geoffrey Hinton, resigned as one of Google’s lead AI researchers and wrote a New York Times op-ed warning of the technology he’d helped create.

    Even ChatGPT’s Sam Altman joined in the chorus of warning voices during a Congress hearing.

    But what are these warnings about? Why do tech experts say that AI could actually pose a threat to businesses — and even humanity?

    Here is a closer look at their warnings.

    Uncertain liability

    To begin with, there is a very business-focused concern. Liability.

    While AIs have developed amazing capabilities, they are far from faultless. ChatGPT, for instance, famously invented scientific references in a paper it helped write.

    Consequently, the question of liability arises. If a business uses AI to complete a task and gives a client erroneous information, who is liable for damages? The business? The AI provider?

    None of that is clear right now. And traditional business insurance fails to cover AI-related liabilities.

    Regulators and insurers are struggling to catch up. Only recently, the EU drafted a framework to regulate AI liability.

    Related: Rein in the AI Revolution Through the Power of Legal Liability

    Large-scale data theft

    Another concern is linked to unauthorized data use and cybersecurity threats. AI systems frequently store and handle large amounts of sensitive information, much of it collected in legal gray areas.

    This could make them attractive targets for cyberattacks.

    “In the absence of robust privacy regulations (US) or adequate, timely enforcement of existing laws (EU), businesses have a tendency to collect as much data as they possibly can,” explained Merve Hickok, Chair & Research Director at Center for AI and Digital Policy, in an interview with The Cyber Express.

    “AI systems tend to connect previously disparate datasets,” Hickok continued. “This means that data breaches can result in exposure of more granular data and can create even more serious harm.”

    Misinformation

    Next up, bad actors are turning to AI to generate misinformation. Not only can this have serious ramifications for political figures, especially with an election year looming. It can also cause direct damage to businesses.

    Whether targeted or accidental, misinformation is already rampant online. AI will likely drive up the volume and make it harder to spot.

    AI-generated photos of business leaders, audio mimicking a politician’s voice and artificial news anchors announcing convincing economic news. Business decisions triggered by such fake information could have disastrous consequences.

    Related: Pope Francis Didn’t Really Wear A White Puffer Coat. But It Won’t Be the Last Time You’re Fooled By an AI-Generated Image.

    Demotivated and less creative team members

    Entrepreneurs are also debating how AI will affect the psyche of individual members of the workforce.

    “Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us?” the open letter asks.

    According to Matt Cronin, the U.S. Department of Justice’s National Security & Cybercrime Coordinator, the answer is a clear “No.” Such a large-scale replacement would devastate the motivation and creativity of people in the workforce.

    “Mastering a domain and deeply understanding a topic takes significant time and effort,” he writes in The Hill. “For the first time in history, an entire generation can skip this process and still progress in school and work. However, reliance on generative AI comes with a hidden price. You are not truly learning — at least not in a way that meaningfully benefits you.”

    Ultimately, widespread AI use may lower team members’ competence, including critical thinking skills.

    Related: AI Can Replace (Some) Jobs — But It Can’t Replace Human Connection. Here’s Why.

    Economic and political instability

    What economic shifts widespread AI adoption will cause are unknown, but they will likely be large and fast. After all, a recent Goldman Sachs estimate projected that two-thirds of current occupations could be partially or fully automated, with opaque ramifications for individual businesses.

    According to experts’ more pessimistic outlooks, AI could also incite political instability. This could range from election tampering to truly apocalyptic scenarios.

    In an op-ed in Time Magazine, decision theorist Eliezer Yudkowsky called for a general halt to AI development. He and others argue that we are unprepared for powerful AIs and that unfettered development could lead to catastrophe.

    Conclusion

    AI tools hold immense potential to increase businesses’ productivity and level up their success.

    However, it’s crucial to be aware of the danger that AI systems pose, not just according to doomsayers and techno-skeptics, but according to the very same people who developed these technologies.

    That awareness will help infuse businesses’ AI approach with a caution critical to successful adaptation.

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    Hasan Saleem

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  • The Hidden Risks of AI and AI-Powered Digitization — and How to Navigate Them | Entrepreneur

    The Hidden Risks of AI and AI-Powered Digitization — and How to Navigate Them | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    In the continuously-evolving digital landscape of today, efficiency is everything, and businesses must strive to optimize wherever possible to remain competitive. It stands to reason that enterprises worldwide strive to engage in data-driven decision-making wherever possible. In a world where 90% of all data is unstructured, however, this can be more challenging than it sounds.

    To gain maximal value from the information they already possess, a growing contingent of enterprises is attempting to leverage AI-powered digitization to streamline operations and drive growth and development. However, this brings with it a range of potential risks and challenges.

    As a CMO, I’m well attuned to the potential pitfalls of AI adoption, and my experiences have taught me the importance of having the right strategy in place to deal with digitization issues as they occur. I will outline the benefits that digitization can bring to a business and offer strategies to help enterprises maximize the potential of AI-powered digitization while minimizing potential risks.

    Related: Businesses are Struggling. This Technology is Set to Spark a Revolution for Business

    The benefits of digitization

    In this day and age, the case for digitization is an easy one to make.

    First and foremost, the digitization of resources enables a greater degree of flexibility within an organization. When information has been successfully digitized, it can be viewed from anywhere, at any time, on any supported device. At a time when remote working arrangements are on the uptick, making resources accessible in this way can be a huge boon from a productivity standpoint. Moreover, since digital resources are easily searchable, employees can find what they need more quickly than ever before, thus boosting efficiency.

    A digitized database also allows for better decision-making. By enabling more effective data gathering and analysis, digitization can empower management to gain deeper insights into company performance. From there, they can focus on specific processes to optimize and allocate resources more accurately to fit the priorities of the enterprise and achieve its goals more effectively. Finally, digitization also helps to dissolve organizational silos. Enterprises can ensure that teams can share information easily by converting informational resources into a centralized digital database. The result is better organization alignment, improved collaboration between teams and a better, more coherent customer experience.

    Overcoming the challenges of AI-powered digitization

    AI-driven digitization is a worthwhile endeavor for enterprises that can pull it off successfully. However, doing so is no easy task, and many businesses encounter certain dangers along the way. Let’s outline those dangers and how enterprises can overcome them to gain maximal benefit from AI.

    1. Data governance

    To use AI-powered digitization to drive success, an enterprise must have a strong data governance foundation in place, as those lacking a strong data governance framework can quickly run into issues.

    Poor data quality and inefficient data integration, for instance, can result in inaccurate or incomplete data, which can compromise the utility and effectiveness of AI-based systems within an organization. Additionally, AI models may seek access to sensitive data, which can bring about privacy concerns.

    To prevent such issues, enterprises must establish clear policies and processes for managing data quality, privacy and security before embarking on their digitization journeys. By doing so, they can establish a clearly-defined framework that enables them to gain refined, actionable insights from their data assets.

    Similarly, it is imperative to establish mechanisms and procedures for monitoring and auditing data governance practices. Those that do this can ensure that their data governance remains congruent with the evolving needs of the enterprise, thereby preserving the effectiveness of AI systems/

    2. Ethics

    When attempting to leverage AI for the digitization of data assets, there are several ethical considerations that enterprises must contend with.

    Aside from concerns about privacy and consent when collecting data, there is also the question of data biases to consider. AI can unintentionally bring about unfair or discriminatory outcomes when specific elements of a dataset are weighted disproportionately. Suffice it to say this is counterproductive, so it is essential to set up a framework for identifying and mitigating biases in data. Enterprises can ensure that their AI systems draw accurate, unbiased conclusions through bias assessment and regular auditing.

    Additionally, it is important to remember that AI tools are just that — tools — and humans should take accountability for their use. By clearly outlining where accountability lies, enterprises can ensure that AI-power tools supplement human capabilities and judgment rather than supplant them. Furthermore, by creating a comprehensive human review framework, it’s possible to minimize human errors and prevent AI from arriving at unethical decisions.

    Related: 7 Digital-Transformation Trends to Watch

    3. Workforce adaptability

    When implementing AI-power digitization, workforce adaptability should be a serious concern. After all, for an organization to get maximal benefit from AI applications, each of its members needs to understand its role and use fully.

    In preparation for digitization, enterprises should seek to invest in AI training for employees. This will allow them to gain insights into the technology’s purpose and develop the competencies necessary to leverage it in the workplace.

    By conducting a thorough performance analysis, management should be able to identify relevant skill gaps in employees and provide them with the tools and resources they need for proper onboarding. Additionally, it’s advisable to set up clear communication channels for employees to air any issues. This will not only enable smoother onboarding with AI technologies but also ensure that there is a framework in place should the organization need to investigate potential issues down the line.

    4. Cybersecurity

    Introducing AI-driven digitization to an enterprise also brings several security concerns to the fore. Chiefly, the increased dependency on AI-powered systems may make an enterprise a more likely target for a data breach. Additionally, AI models may have inherent weaknesses that can be exploited for nefarious purposes.

    As such, having the right security measures in place is key. Implementing strong encryption, access controls, and multi-factor authentication on company systems can help to mitigate some of the risks associated with AI-powered digitization. In addition, enterprises can train employees to maintain data handling best practices to create a security-conscious culture. Lastly, organizations should confer with cybersecurity experts and perform adversarial testing to identify potential weaknesses.

    Related: How AI Is Shaping the Cybersecurity Landscape — Exploring the Advantages and Limitations

    Conclusion

    AI-powered digitization presents modern enterprises with enormous opportunities for optimization and growth. To fully reap the rewards of this digitization, however, these businesses must mitigate the risks of relying on AI-powered data systems. That means establishing strong data governance, addressing ethical considerations, empowering workforce adaptability and implementing comprehensive cybersecurity measures. By taking these steps, enterprises can use AI-driven digitization to unlock their latent potential, enabling them to achieve new levels of success.

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    Alon Ghelber

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  • A.I. ‘controls humanity’ in the worst-case scenario but will probably just find us boring, says Stability AI CEO Emad Mostaque

    A.I. ‘controls humanity’ in the worst-case scenario but will probably just find us boring, says Stability AI CEO Emad Mostaque

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    Emad Mostaque hopes A.I. will find us “a bit boring” but acknowledges that in the worst-case scenario it “basically controls humanity.” 

    Mostaque is CEO of the fast-growing London-based startup Stability AI, which popularized Stable Diffusion. That’s a generative A.I. tool allowing users to create often remarkably sophisticated images using nothing but text prompts. He made the comments in a BBC interview released this weekend.

    “If you have a more capable thing than you, what is democracy in that kind of environment? This is a known unknown,” he told the British broadcaster. “Because we can’t conceive of something more capable than us, but we all know people more capable than us. So, my personal belief is it will be like that movie Her with Scarlett Johansson and Joaquin Phoenix: Humans are a bit boring, and it’ll be like, ‘Goodbye’ and ‘You’re kind of boring.’”

    “But I could be wrong,” he added. “I think it deserves to be discussed in a public sphere.” 

    In March, Mostaque joined Tesla CEO Elon Musk and Apple cofounder Steve Wozniak in signing an open letter calling for pause in A.I. development for anything more advanced than GPT-4, the A.I. chatbot from Microsoft-backed OpenAI, which also makes ChatGPT and DALL-E 2 (the latter, like Stable Diffusion, converts text prompts to images). 

    “If we have agents that are more capable than us that we cannot control that are going across the internet and [are] hooked up and they achieve a level of automation,” he told the BBC, “what does that mean?”

    Stability AI is racing ahead, however, in developing new products—including a text-to-animation tool released this week—and wooing investors. It’s seeking to raise funds at a $4 billion valuation, following a $1 billion valuation last October after raising about $100 million. (Coatue Management and Lightspeed Venture Partners are among its investors.)

    At the same time, Stability AI is being sued by Getty Images in a landmark case over copyright. Such a lawsuit was perhaps inevitable given that text-to-image A.I. models like Stable Diffusion are trained using billions of images pulled from the internet.

    Asked by the BBC what the worst-case scenario might be, Mostaque said: “Worst-case scenario is that it proliferates and basically it controls humanity. Because you could have a million of these things replicating effectively.” 

    Unusually, Stable Diffusion is open source, meaning anyone can examine the code, share it, and use it. 

    In March, Musk, who cofounded and helped fund OpenAI, criticized it for switching away from a nonprofit model, taking hefty investments from Microsoft, and not being open source. He tweeted:

    “OpenAI was created as an open source (which is why I named it ‘Open’ AI), non-profit company to serve as a counterweight to Google, but now it has become a closed source, maximum-profit company effectively controlled by Microsoft. Not what I intended at all.”

    “I think there shouldn’t have to be a need for trust,” Mostaque told the BBC. “If you build open models and you do it in the open, you should be criticized if you do things wrong and hopefully lauded if you do some things right.”

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    Steve Mollman

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  • AI Could Replace The Equivalent of 300 Million Jobs — Will Your Job Be One of Them? Here’s How to Prepare. | Entrepreneur

    AI Could Replace The Equivalent of 300 Million Jobs — Will Your Job Be One of Them? Here’s How to Prepare. | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Last year, many of us spent time thinking over the problem of AI bias, carefully depicted by one of the authors of “Coded Bias”, the famous Netflix documentary. Now that yet another boost of generative AI popularity is here to stay, the talks about job replacement are back in the game.

    Namely, one of the most verbose reports on how AI could potentially automate (or as many are afraid, replace people in their qualified jobs) belongs to Goldman Sachs, which was vehemently spread under a variety of alarmist headlines about 300 million potentially replaced jobs across the globe.

    In particular, some of the reported data suggests that 18% of the work worldwide is likely to be computerized, and the effects on the more developed economies could be worse than those across the emerging ones, for instance.

    Strangely enough, the recent boom of generative AI has coincided with several consecutive waves of layoffs in the online tech industry, which only made some sort of a minor panic in a myriad of discussions on the web even more understandable.

    Related: The 3 Principals of Building Anti-Bias AI

    However, the report itself suggests that the so-called “exposal to automation” itself does not imply the elimination or removal of the human-involved job in any way. More importantly, many of the non-white-collar professions are not even prone to negative effects.

    On a greater scale, according to some experts, the ability to operate the next-gen AI tech will be decisive for the professionals, instead of them becoming redundant because of Chat GPT-like solutions any time soon. As Ingrid Verschuren, head of the data strategy for Dow Jones said, “humans are the real “machine” that drives AI.”

    Facing the reality behind the hype

    So, as Goldman Sachs estimates, up to almost 25% of all work could be managed by AI completely in the upcoming years. But what exactly does this mean for a specialist in the law department, a copywriter, or a motion designer, for example? To tell the truth, not that much.

    A friend of mine, running a video production studio has been testing AI solutions to generate images for some time and as it turns out scraping the creative inspiration from the machine learning algorithms has been quite a tiresome journey all along. The default imagery is often somewhat generic (and often gloomy for that matter), so their designer team hasn’t been successful in actually applying the newly-acquired AI-powered assistance to a significant extent.

    Meanwhile, in editorial departments, the recent trend of running the ChatGPT queries, regarding some news personalities and seeing the not-so-truthful results has also proven the point of truthfulness being the weakest point of generative AI.

    And given so many of the false narratives, and how easily the generative AI tools are being persuaded (e.g. write content with non-existent facts, if those are being given in the assigned request), I highly doubt their legal advice is qualified enough to go along with, let alone substitute even an inexperienced, yet hungry paralegal for their software equivalent just yet.

    Will the future uphold our fears?

    While the current state of generative AI is obviously not as advanced as its founders wish to believe, some of the job market predictions for 2024 may seem too pessimistic for that matter. Of course, chances are the technologies are likely to have a significant impact on our workforce this way or another within the upcoming decade. So how can we be prepared?

    Here are a few focus points that entrepreneurs might keep in mind:

    Don’t rush into cut-offs

    Whatever the niche you’re in business in, the current state of generative AI doesn’t have the skills and competencies to replace any of the qualified specialists in your team.

    More importantly, even when further AI advancements arrive, you will probably still need your team to manage the new software (i.e. explain precisely what needs to be done, then review the outcome) in order to obtain the best results.

    Some of the most vivid examples include code reviews/tweaks, editing of the scripts created by AI, accounting and engineering project re-checks and physical exams/prescriptions reviews in medicine, but this list is virtually endless.

    Related: History Has Shown What Happens to Companies that Shy Away from New Tech, So Why Are So Many Afraid of Generative AI?

    Check your facts

    While we leave the media and celebrities worrying about the possible negative effects of complex deep fakes, made possible by the introduction of generative AI upgrades, using ChatGPT or similar tools to search for information remains a very tricky business.

    As the algorithms’ training evolves, the risks of being completely misguided will definitely decrease, but chances are that we won’t be able to trust the AI-generated text/image in the foreseeable future.

    Even though this aspect will remain of primary importance in editorial newsrooms, law firms and political offices, any calculations, provided by the advanced machine learning algorithms will also need to undergo re-checks, at least in the selected data cohorts.

    Peculiarly enough, the amount of time and operational resources, inevitably required to run these reviews/checks, actually challenges somewhat a common belief that the extended use of AI leads to higher productivity, with less budget spending.

    Beware of the bias

    The first thing we learned on the launch of ChatGPT was that its latest “knowledge acquisition dated to 2020 – 2021”, but the more important thing is that in spite of its latest upgrades, the generative AI is still old-school, or better to say biased.

    Here are several examples to prove my point.

    I’ve run a simple query asking ChatGPT to “tell me a story of two people”, and what I’ve got was a cheesy rom-com about John and Mary. Then I ran a short query to draw me two people on the beach in the relevant generative AI software and I got a picture of two males (even though the scene structure was good, no doubt about that). Presumably, having analyzed my request, the algorithm “decided” that “people” should primarily refer to “male people.”

    What this means to entrepreneurs using generative AI, whether they’re working in a creative industry or not, is their necessity to not just have a clear understanding of the AI-bias-risks, but also the willingness to triple-check, then update the intermediary software-generated results, prior to their incorporation into any of the further work product.

    Prospects for 2023-2024

    Long story short, whatever the misconceptions we might have about generative AI at this point, they aren’t likely to stay relevant in 10 years. However, the most reasonable approach to its use remains in moderation. In plain words, exaggerating its benefits will definitely be damaging, but the exceeding focus on its possible ramifications can be just as much.

    Quoting Ms. Verschuren from Dow Jones, it’s still up to us humans to figure out our future, and tweak our machines for better results, however complex they might be.

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    Anton Liaskovskyi

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  • Top 5 Ways the AI Revolution Can Help your Ecommerce Business | Entrepreneur

    Top 5 Ways the AI Revolution Can Help your Ecommerce Business | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Open AI’s ChatGPT has created a buzz about the current “AI Revolution,” but it isn’t a revolution for everyone. This is a time of innovators slowly handing off AI applications to early adopters. The early majority is still waiting on the sidelines, waiting for that AI Revolution to reach their industry or market.

    It’s only begun to permeate ecommerce, where we see businesses using artificial intelligence and machine learning to streamline operations, personalize marketing and enhance the shopping experience.

    As those early adopters start integrating them into their systems, here is how you can apply them to your ecommerce business:

    1. ChatGPT and AI-Generated Content

    The most obvious application of AI is using tools like ChatGPT to generate strategic copy and content. ChatGPT is particularly astounding to us all because it responds in a way that we all understand, with no code or programming knowledge required. As a language model, its skill is navigating human language, pulling from vast libraries of information, giving you exactly what you asked.

    That means you don’t need to rely on human writers to dig through research to create search engine-optimized product descriptions. Businesses are already using ChatGPT to identify those keywords and use them to optimize their copywriting. Shopify even now offers AI generated descriptions based on keywords merchants input.

    Though these AI models are impressive, they aren’t infallible. They still make errors: hallucinations — or information gaps that have been creatively filled in by the AI to give a complete answer. These confabulations can manifest in lies or wrong information, citing sources that don’t exist.

    The data sources that AI pulls from are limited in scope and variety… and slightly controversial. Copyright claims are a concern when AI generates from other sources, and more companies, such as Reddit, want to make more money from the data they provide.

    But text is only half the battle. On Amazon, the title and image are priority number one. The first image of a product on a white background is essential. Then you need lifestyle shots, bullet point overlays and an example of product scale. You always miss a few images that you need during a photo shoot. Photoshoots are expensive, and AI could bridge that gap. Sort of.

    Image generation isn’t quite there yet. Levi’s, the denim company, recently had a campaign using AI from Lalaland.ai wearing their clothes. The models have a slightly “off” look to them, as most AI-generated images do, but it shows off the clothes without having to hire an actual model to put them on. This technology works well with clothes, but we have yet to see a tool that uses models interacting with more complicated 3-D objects.

    Related: The Dark Side of ChatGPT: Employees & Businesses Need to Prepare Now

    2. Chatbots and customer interactions

    More and more customers are interacting with chatbots and are enjoying the process. They’re available 24/7 and generally converse naturally, personalizing the experience. They also can upsell in the moment of interaction.

    Chatbots also speed up the customer support process. A survey of executives with companies using chatbots found that 90% had “measurable improvements in the speed of complaint resolution.” The less time people wait on the phone for a customer service agent, the happier they are.

    They do have limits, though. Chatbot company, Tidio, found that people prefer a human assistant when it comes to returning a product, troubleshooting and complaining about a service or product. Other companies offer chatbot integration for online businesses as it becomes more common to interact with these chatbots during an online customer journey. It’s possible to have one custom-built for your company, but also more expensive.

    3. Advertising targeting and personalization

    Catching potential customers in the consideration phase is getting easier, as AI-targeted ads intercept them during their shopping process. Online buyers will research for the product that best fits their needs, and as they hone in on their searches, an ad might pop up, giving them exactly what they need.

    Online furniture retailer Wayfair is an example of a company that uses AI to determine which customers are most likely to be influenced by the ads and, using their browsing histories, choose products they might actually buy.

    AI algorithms analyze vast amounts of data about customer behavior, demographics, purchase history and interests. More businesses are specifically using AI to distill this info for audience targeting and segmentation, avoiding bombarding consumers with irrelevant content. Higher engagement rates turn into more conversions.

    Another important aspect of creating targeted ads is through keyword harvesting — finding the best keyword match for your product. Automatic campaigns can be set to mine keywords, transfer keywords between campaigns and boost bids depending on peak and off-peak hours. It’s an optimized ongoing process that either you or an employee would otherwise have to do constantly.

    Marketing personalization gets even more advanced with AI-generated customer personas. Companies like Delve.ai use millions of data points from internal and external sources to create ideal customer personas, competitor personas, and social personas. Some AI tools use collected psychographic data and qualitative psychological factors to create more accurate personas than ones made with just demographic and behavior metrics.

    Related: 5 AI Marketing Tools Every Startup Should Know About

    4. Sentiment farming and fraud prevention

    Sentiment analysis is a newer tool to mine opinion data from reviews, surveys, web articles and social media. Language models are used to sift through the noise online to pull out what customers say about your products.

    You’re left with actionable insight into how consumers feel about your brand, your products and their customer journey. Opinions are measured by the adjectives used in conjunction with the product or service being reviewed. These adjectives are rated, and a score is revealed to rank the opinions. These opinions are sometimes skewed by paid reviewers making fake positive or negative reviews, which mislead customers. Sentiment analysis has been found to help prevent fraud by using language models to find spam reviews.

    Related: How AI and Machine Learning Are Improving Fraud Detection in Fintech

    5. Supply chain planning

    By analyzing customer behavior and demand data, AI-powered tools can help businesses optimize their inventory levels, reduce waste, and improve the efficiency of their supply chain.

    Forecasting customer demand and capacity constraints is necessary for supply chain management. AI tools can ensure that warehouse facilities have the correct flow of inventory in and out to protect against under- or overstocking. Amazon offers AI-powered inventory management through Intellify, building demand forecasts that allow your teams to act on inventory purchase recommendations.

    These AI supply chain solutions will not make the decisions or purchases for you, though. AI isn’t advanced enough yet to be trusted to make independent solutions. Complicated loop systems are being developed to reduce human interactions, giving AI like ChatGPT the ability to make iterative decisions based on the task given to them.

    The AI Revolution is upon us, but don’t expect an imminent Terminator apocalypse. The ecommerce tools offered by many AI services can help you streamline your business but won’t take you out of the equation yet.

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    Tyler Metcalf

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