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Tag: Science & Technology

  • Exploring How Virtual Reality is Changing Startups | Entrepreneur

    Exploring How Virtual Reality is Changing Startups | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Today, startups face the daunting task of capturing prospective clients’ attention. Traditional marketing approaches sometimes fall short when it comes to captivating consumers and making a lasting impression on brands.

    However, virtual reality (VR) technology has just emerged, providing companies with a potent weapon that may transform their advertising strategies. Startups may make a lasting impact on their target audience by using VR’s immersive and interactive nature to create fascinating experiences.

    Read on to find out how VR is changing the face of startup marketing and how businesses are interacting with their customers.

    1. Making Authentic Brand Interactions

    Startups have a one-of-a-kind chance to use VR to build engaging brand experiences that are impossible to achieve with more conventional forms of advertising. VR gives a unique opportunity to tell a brand’s narrative by immersing customers in a virtual world.

    Whether it’s displaying a product demo, letting consumers explore a virtual shop, or giving an interactive tour of a startup’s facilities, virtual reality experiences bring people in and make them feel something. These all-encompassing brand experiences do more than just attract viewers; they also make an impression that sticks with them, increasing brand recognition and devotion. And, of course, you need to do VR testing before using it.

    Related: The Future of Retail Is in Immersive Real-Time 3D Experiences

    2. Making Product Demos More Impressive

    Startups face significant hurdles when trying to prove the usefulness and worth of their offerings. To overcome this obstacle, companies are turning to virtual reality to display their products interestingly and interactively. Startups may break past the barriers of conventional marketing by giving buyers an immersive virtual reality experience of a product.

    See also Employers Guide: Getting the Maximum from Your Millennials

    With virtual reality, businesses may offer customers a realistic and tailored experience, like a virtual test drive of a new automobile, a virtual tour of a real estate project, or even a virtual try-on of fashion items. This creates trust and encourages buy intent.

    3. Storytelling that Engages

    At its core, every effective advertising campaign is a story. By empowering entrepreneurs to create compelling stories in VR, the medium elevates storytelling to a new level. An immersive story is a powerful tool for startups to communicate their purpose, ambition, and values. Startups may increase the emotional connection with their audience by letting consumers actively participate in the story.

    Virtual reality storytelling captivates customers by transporting them to the startup’s past or present or creating an imaginary environment that reflects the brand’s values.

    4. Enhancing the Quality of Events

    Startups often participate in industry events and conferences to promote their products and services and make connections with possible clients. However, in terms of participation and exposure, live events have limits. With virtual reality, companies can take their event experiences to the next level and break down geographical barriers.

    Startups can make virtual event venues a reality, enabling global participation in immersive conferences, product debuts, and networking gatherings. Virtual reality events help entrepreneurs save money while simultaneously giving them vital information about attendees’ habits, interests, and engagement levels.

    Related: How to Start an Event Planning Service

    5. Engaging in Tailored Advertising

    Virtual reality enables entrepreneurs to provide their target audience with highly tailored experiences, which is crucial for successful marketing efforts. Startups may create a unique and intimate virtual reality experience for each consumer by tracking their data and preferences.

    Startups may utilize virtual reality to make their consumers feel seen and understood in a variety of ways, for as by tailoring the virtual environment to their tastes or by providing tailored product suggestions inside the VR experience.

    6. Connect with your audience

    Another overlooked opportunity for companies to use virtual reality is to engage with the expanding user base. With a projected 27.5% CAGR from 2023–2030, virtual reality is poised to outpace all other content segments. Worldwide, there are more than 171 million VR users; in the United States, there are 65.9 million users, or 15% of the population.

    We anticipate that, like any network, the platform’s social dynamics will gradually become more apparent with time and that influencers will start to crop up. The next frontier is products that can establish themselves as leaders in their community and continue to evolve alongside it.

    In summary

    Virtual reality has been a game-changer for new businesses trying to stand out in a competitive industry. Startups can transform their marketing strategies and audience engagement by developing more interactive brand experiences, better product demos, compelling stories, memorable events, and tailored marketing campaigns.

    Startups need to jump on the chance to use virtual reality to engage with consumers on a deeper level and remain ahead of the competition as VR technology becomes better and more affordable. Virtual reality’s immersive environment is where startup marketing is headed, and early adopters will be the ones who profit.

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    Kimberly Zhang

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  • How We Can Win the AI Arms Race Against Fraud | Entrepreneur

    How We Can Win the AI Arms Race Against Fraud | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    As artificial intelligence (AI) becomes more sophisticated, it’s not just businesses and consumers who benefit. Fraudsters also exploit AI to outmaneuver programmatic advertising platforms and siphon significant advertising spending. This manipulation drains financial resources and undermines the integrity of digital advertising ecosystems.

    The rise of programmatic platforms has revolutionized how ads are bought, placed, and optimized. However, this innovation also presents new challenges, notably the threat of ad fraud perpetrated through sophisticated means such as clickbots and automated scripts. To counter these challenges, artificial intelligence is becoming an invaluable ally, ensuring that advertisers pay only for legitimate engagements and safeguard their investments against fraud.

    Programmatic advertising, designed to automate the buying and placing of ads using sophisticated algorithms, is particularly vulnerable to AI-powered fraud as it relies on highly automated processes. Bad actors use AI to create more intelligent clickbots that can mimic human browsing patterns, tricking algorithms into believing that a person is interacting with an ad when it’s a bot. These bots can generate fake clicks and ad impressions, simulating engagement metrics that advertisers rely on to gauge the effectiveness of their campaigns.

    AI-driven ad fraud extends to manipulating the bidding process within programmatic platforms. By artificially inflating traffic or manipulating auction dynamics, fraudsters can drive up costs for legitimate advertisers or ensure that their illegitimate ads are served to a larger audience, maximizing their ill-gotten gains.

    The financial implications are staggering. According to industry reports, ad fraud costs the global digital advertising industry billions of dollars annually, with a significant portion attributed to sophisticated AI-driven schemes. This financial drain depletes resources that could be spent on genuine engagement and growth opportunities.

    Related: 5 Ways to Spot and Avoid Deepfake Phone Scams

    The path forward

    AI’s role in enhancing the integrity of programmatic advertising is multifaceted. First and foremost, AI algorithms can analyze patterns and behaviors in traffic at a granular level — and in real-time, at a massive scale.

    Unlike traditional methods that may struggle to differentiate between human users and bots, AI systems such as my company’s Presspool.ai platform leverage advanced machine learning to identify subtle anomalies that indicate fraudulent activity. This includes detecting irregularity in click-through rates, unusual patterns in user engagement times, and the geographic origins of traffic that might suggest attacks from click farms or automated scripts.

    Moreover, AI-driven systems can automate the vetting process for ad placements, ensuring that advertisements only appear on reputable sites. This protects brand reputation and minimizes the risk of ads being displayed in environments where fraud is prevalent.

    The integration of AI into programmatic advertising also provides transparency and detailed reporting for advertisers. By offering insights into exactly where ads are being displayed and how they are interacted with, businesses can make more informed decisions about their advertising strategies.

    This level of transparency is vital for building trust between advertisers and programmatic platforms, ensuring a transparent ecosystem where companies are assured of security in their advertising investments.

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

    Winning the arms race

    Combating AI-powered fraud requires a multifaceted approach. Ad tech firms are built specifically for optimized programmatic advertising in the burgeoning newsletter space and are increasingly investing in advanced AI systems capable of detecting and countering fraudulent AI tactics. These systems analyze vast amounts of data in real-time, looking for patterns that deviate from expected human behavior, no matter how subtle.

    AI enhances programmatic platforms by constantly updating its awareness of what constitutes legitimate user behavior. Through continuous learning processes, AI models adapt to new tactics employed by fraudsters, staying ahead in the constant arms race against ad fraud. This adaptability is crucial in an environment where fraudulent techniques rapidly evolve.

    The application of AI also extends to improving the overall quality of engagement metrics. By analyzing vast amounts of data, AI can help advertisers identify the most effective ad placements, optimize bidding strategies in real time, and tailor ads to user preferences and behaviors—increasing the likelihood of genuine engagement. This targeted approach reduces the likelihood of fraud and enhances the ROI of ad campaigns by focusing on the most receptive audiences possible.

    While AI presents significant opportunities for efficiency and targeting in programmatic advertising, its potential for abuse cannot be overlooked. As AI technology evolves, so must the strategies to protect against its misuse. Advertisers, platform providers, and regulators must work hand in hand to safeguard the integrity of digital advertising environments from the rising tide of AI-powered fraud.

    Collaboration across the industry today, including sharing intelligence on emerging threats and fraud techniques, is crucial for staying ahead of fraudsters. Regulations and industry standards also play a critical role in mitigating risk. By establishing clear guidelines and protocols for identifying and reporting fraud and enforcing stringent penalties for violations, the industry can create a more secure and trustworthy advertising ecosystem.

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    Jaxon Parrott

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  • More Companies Are Rushing to Hire A Chief AI Officer — But Do You Need One? Here’s What You Need to Know. | Entrepreneur

    More Companies Are Rushing to Hire A Chief AI Officer — But Do You Need One? Here’s What You Need to Know. | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    This spring, the U.S. government took an unprecedented step: requiring every U.S. agency to appoint a chief AI officer. This follows on the heels of companies across diverse industries adding similar roles to their leadership ranks.

    This is a move in the right direction for companies seeking to integrate AI, but it’s not enough on its own. Yes, every company must become an AI company. But expecting a chief AI officer to get the job done alone is shortsighted.

    When businesses are confronted with a major technological shift, often their knee-jerk reaction is to stick with what they know: Putting a new executive in charge and hoping they can solve everything. But for AI to truly take root in a company, people at all levels of the business need to get their hands on it and start innovating, not follow orders from a gatekeeper in the C-suite.

    In fact, the fastest way to integrate AI into a company, in some instances, maybe to skip the chief AI officer role altogether.

    Related: The Future Founder’s Guide to Artificial Intelligence

    Why having a chief AI officer might not make sense

    Companies appointing a chief AI officer have good intentions as they seek to avoid getting disrupted by the technology. But they may not need this role, and any business adding it should assume that it’s temporary.

    A useful comparison is the stampede in the middle of the last decade to appoint chief digital officers to oversee the digital transformation to internet and mobile technologies. In hindsight, that looks quaint.

    Experts pronounced CDO the next big executive title, but it often turned out to be little more than window dressing — especially when digital skills became table stakes for most employees. In recent years, companies have been ditching the role or folding it into other jobs. In digitally native businesses, it doesn’t exist at all.

    Google, for instance, never had a CDO directing how employees use web technology. Instead, they empowered employees to explore tools on their own through initiatives like 20% time, setting the stage for innovations such as Gmail.

    Likewise, AI-native companies don’t have an executive overseeing AI. That would be redundant. At companies like mine, the technology is embedded from day one across the organization rather than siloed in a single role.

    By default, we all leverage AI. Our marketing team uses it to better understand our customer base, our engineers deploy it to help write code, and our customer support leans heavily on AI agents. AI is written into every role, much like digital literacy now is at nearly all companies. Of course, there are areas of our business where we could use AI more and better, but making that happen doesn’t call for a specific job title. It’s everyone’s responsibility.

    A better way to usher in an AI transformation

    But I realize that not every company is built from the ground up on AI. So, how can legacy companies make real strides in integrating the technology?

    In place of the top-down response to organizational change, consider a bottom-up approach. For a company that wants to usher in an AI transformation, the first step is to look across the roles you’re already hiring for and pick a few where AI agents can do the job today.

    Customer service is an obvious place to start — today’s AI agents can now address most issues at least as well as humans. AI sales development representatives (SDRs) are also making an immediate impact, automating much of the toil involved in pursuing prospects. Another promising area — junior data analyst roles, which often consist of pulling information from reports. Then there’s coding. Autonomous software engineering agent Devin and OpenDevin, its open-source rival, can step in here.

    Choosing the right technology partner to provide AI tools is equally important. When it comes to customer service, for example, companies should look for a vendor whose AI agents have a track record of resolving most issues without human intervention. Rather than following a script, they should have some ability to reason, drawing on past interactions and the conversation at hand to determine the best solution for each customer’s unique problem.

    Then, it’s important to treat your agents more like employees than like a piece of software that will work straight out of the box. Onboarding, measuring and coaching — the same steps you’d take to develop any new hire — are essential to get the most out of AI tools.

    The upside here is having team members experiment with AI begins to build AI expertise inside the company. For example, my company works with a financial services firm where AI employee manager has become a key position. Former customer support specialists there now teach AI agents new skills that add value throughout the business — thus making themselves an indispensable member of the team.

    Companies can even make driving productivity gains via AI a criterion for career advancement. To get promoted, an employee must show their manager how they’re applying AI to deliver results for the business.

    Related: How Generative AI is Revamping Digital Transformation to Change How Businesses Scale

    The next stage: Those departments grow into mini centers of excellence that spread AI knowledge and best practices throughout the organization. Team members educate the rest of the business on how to hire and coordinate AI labor. AI becomes integrated into day-to-day business operations in a way that’s hard to achieve with an exclusively top-down approach.

    Of course, there’s no one best way to take a company through an AI transformation. For legacy industries and large enterprises, a tandem approach — combining top-down and bottom-up — may prove a better fit.

    At the very least, organizations that want to get the transformation right should think about how they can help AI bubble up through the ranks, rather than just rush to hire a chief AI officer simply because others have taken that step. As AI permanently changes companies from top to bottom, it’s just a temporary solution.

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    Mike Murchison

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  • What’s Stopping You From Using Generative AI in Your Business? | Entrepreneur

    What’s Stopping You From Using Generative AI in Your Business? | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Generative AI is catalyzing a significant paradigm shift in various business sectors, including coding, data science, content creation, virtual assistance, medical support, artistic innovation, media, marketing, game development, financial analysis and digital education, among others. This technology is enhancing business efficiencies broadly and transforming key industries such as healthcare, education and technology, as well as organizational workflows in numerous areas, thereby promising high returns. Consequently, generative AI is reshaping the future of work across a wide array of industries.

    MarketsandMarkets predicts substantial growth in the global AI industry, estimating it will reach $1,345.20 billion by 2030, with a compound annual growth rate (CAGR) of 36.8% from 2023 to 2030. In alignment with these financial expectations, the Infosys Knowledge Institute has shown that “firms that use AI well can increase enterprise profit by 38% and will help deliver $14 trillion of gross added value to corporations by 2035.”

    Yet, despite these promising financial forecasts, the actual deployment of AI technologies, particularly generative AI, falls short of expectations. Gartner survey results published in Harvard Business Review indicate a potential gap in AI adoption: While 70% of organizations were exploring generative AI as of March and April 2023, only 4% had fully implemented these technologies.

    So why do business leaders hesitate to integrate generative AI solutions into their operations?

    The reasons experts have identified for the slow adoption of generative AI primarily center on high costs, data complexities and a shortage of skilled professionals, among other factors. Additionally, there is prevalent mistrust among recent startups and technology industries concerning the effectiveness of available solutions and worries about potential pitfalls.

    Despite these numerous factors, here are three potential key reasons that stand out for their hesitancy to embrace AI, along with suggested strategies to address these challenges.

    Related: You Can Fear It and Still Use It — Why Are So Many American Workers Shy About AI?

    3 reasons business leaders hesitate to adopt generative AI

    1. Resistance to change and ego

    Leadership often hesitates to adopt new technologies, preferring traditional business methods. For example, surgeons at MGH only adopted the Da Vinci surgical robot after losing patients to hospitals using the technology, as they found it hard to leave established practices for new training methods. Similarly, many business leaders stick to conventional workflows, perceiving new changes like AI adoption as disruptive, resource-draining and costly. Their personal discomfort with AI may lead them to reject such innovations, claiming they are “too busy” to explore new technological advancements.

    2. Lack of expertise in the field of AI applications

    The problem of leadership resistance is further exacerbated by the shortage of specialized training or expertise, coupled with the challenge of retaining skilled professionals in the realm of artificial intelligence (AI) applications. Despite the burgeoning enthusiasm for AI, there remains a critical need for specialized AI experts within business leadership teams. Although sourcing highly skilled individuals in the market is challenging, retaining them poses an additional hurdle, potentially leading businesses to shy away from considering AI solutions.

    3. The majority of generative AI solutions are still in the beta phase

    While generative AI is transforming industries and businesses globally, most of its applications, including ChatGPT4, are still in the beta phase and continuously improving. The more these systems are used, the more data they gather to refine their responses.

    However, they are not infallible; they can still experience “hallucinations” or produce errors, which might be detrimental depending on the context of use. Such inaccuracies or data security and privacy issues with generative AI applications can have serious implications, particularly in business settings, where they can affect clients or customers and potentially harm the business’s reputation. These incidents can lead to distrust among business leaders, resulting in hesitation or outright refusal to adopt AI solutions.

    Related: This Is the New ChatGPT Trend That Will Enhance Your Business

    How to thoughtfully adopt AI into your business

    1. Weigh the benefits and risks for business impact

    Businesses that adapt swiftly to change often outperform their competitors, underscoring the importance for leadership to stay abreast of new trends using AI solutions and be ready to embrace them, even when the changes are challenging. A primary consideration is determining whether the AI trend is beneficial for the company’s operations, specifically if it can enhance current processes or workflows efficiently and cost-effectively.

    It’s advisable to engage external expert advisors to assess the advantages and risks of new technological trends, as well as their potential impact on the business. This evaluation process might entail multiple discussions with external AI specialists, financial advisors and internal teams to reach an informed decision regarding the consideration to adopt an AI solution.

    2. Conduct in-depth technical evaluations of AI solutions before you choose and implement one

    Once the decision to adopt an AI solution has been made, the subsequent crucial step is to conduct an exhaustive market search for AI vendor offerings. It is vital to undertake comprehensive evaluations of AI technology solutions before adoption to minimize the risk of potential failures that could negatively impact a business.

    Investing in a meticulous and thorough due diligence process, which includes multiple rounds of assessment by different AI technology experts, is imperative. This method is more than a precautionary measure — it’s a strategic investment that could save a business not just thousands, but potentially millions of dollars in the long run by ensuring that the selected AI solutions are well-aligned with the business’s needs and are set up for successful integration.

    3. Make time for ongoing specialized AI workshops and updates for leadership teams

    It is crucial for business leaders to allocate time to understand the basics of available AI business solutions in the market. A recommended approach is to organize regular lunch-hour workshops tailored toward specific AI solutions for leadership, led by AI industry experts. These workshops are an effective strategy to keep leaders engaged and informed about the latest developments in AI technology. By integrating customized learning/training into their schedules in an efficient and focused manner, leaders can stay abreast of advancements and better position their businesses to leverage AI innovations.

    Related: How Cutting Edge AI Tech Could Be Your Answer to Tackling Stress

    As we navigate the burgeoning era of generative AI solutions, which is finding its application across various business sectors, it’s crucial for leadership to remain engaged and informed to avoid falling behind competitors. The dawn of this new generative AI era is upon us, escalating rapidly. To effectively leverage its advantages, business leaders need to be well-prepared and proactive, ensuring a deep understanding and strategic integration of these advanced technologies into their planning, doing so both efficiently and effectively to steer their business toward success.

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    Sahar Hashmi, MD-PhD

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  • How Elon Musk’s New Grok AI Stacks Up Against Competitors | Entrepreneur

    How Elon Musk’s New Grok AI Stacks Up Against Competitors | Entrepreneur

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    Nearly two weeks after Elon Musk’s xAI startup opened up the AI model behind Grok to the public, its AI chatbot is set to get an upgrade.

    The company announced Grok-1.5 on Thursday and claimed that its latest model can understand longer documents, handle more complex prompts, and perform more advanced reasoning.

    While Grok-1.5 appears to be a step up from the original 1.0 with improvements in coding and math skills, its announcement post shows that it still lags behind Google’s Gemini Pro 1.5 AI, OpenAI’s GPT-4, and Anthropic’s Claude 3 Opus in some benchmark tests, while outperforming OpenAI on one key HumanEval test.

    Related: Meet Grok: Elon Musk Unveils ‘Spicy’ AI Chatbot Riddled With ‘Sarcasm’ and ‘Humor’

    Grok-1.5 scored higher than GPT-4 on the HumanEval benchmark, which consists of 164 challenging programming problems not included in the AI model’s training data. GPT-4 had a score of 67% and Gemini Pro 1.5 scored 71.9%, while Grok-1.5 received 74.1%.

    Elon Musk’s xAI company is set to release a new version of the Grok AI chatbot, a ChatGPT competitor. Photo by Jaap Arriens/NurPhoto via Getty Images.

    With a score of 81.3% on the MMLU test, which covers knowledge of 57 subjects from an elementary to an advanced level, Grok-1.5 performed close to Google Gemini’s score (83.7%).

    It also scored close to GPT-4’s score of 52.9% with a score of 50.6% on the MATH test, a benchmark that covers grade school to high school math competition problems.

    Related: Elon Musk Sues ChatGPT-Maker OpenAI, Accuses the Company of Working to ‘Maximize Profits For Microsoft, Rather Than For the Benefit of Humanity’

    Musk stated in a Friday social media post that Grok 1.5 should be available on X, formerly Twitter, by next week.

    The X owner has high expectations for the next generation of Grok, writing that the next step after Grok-1.5 will outperform the AI currently available “on all metrics.” Grok 2 is “in training now,” he wrote in the post.

    Grok AI is currently only available to those with a $16 a month or higher Premium+ subscription on X.

    Musk sued OpenAI, a competitor of xAI, earlier this month and asked for a court ruling that would force OpenAI to make the research and technology behind its AI public.

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    Sherin Shibu

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  • 43-Year-Old’s Remote Side Hustle Earns Nearly $3,000 a Month | Entrepreneur

    43-Year-Old’s Remote Side Hustle Earns Nearly $3,000 a Month | Entrepreneur

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    This Side Hustle Spotlight Q&A features Sam Ziegler, a 43-year-old drummer based out of New York who has a side hustle providing support on Geeker, which offers on-demand help from IT and software experts.

    Image Credit: Courtesy of Sam Ziegler

    When did you start your side hustle, and where did you find the inspiration for it?

    My passion is music, but the gigs, and therefore the income, are not always consistent, so relying on it as a full-time career is not realistic. I started with Geeker in July 2023. I have many years of IT experience and was hoping something like Geeker existed, a remote side hustle where I could apply my skill set to help people solve their computer problems. I was conducting some research on Google and discovered Geeker. My inspiration is my family and the opportunity to help people. Knowing that you make someone else’s life easier by solving computer issues is a very fulfilling feeling.

    What were some of the first steps you took to get started with the side hustle?

    I filled out the registration form to become a Geeker, answered a few technical questions they used to measure and qualify my expertise and then had a Zoom interview. After the interview, I was approved as a Geeker.

    Related: I Made Over $400,000 From a Side Hustle on Top of My 6-Figure Salary Last Year. I Love Diversified Income — and This Game-Changing Money-Saver.

    What were some of the biggest challenges you faced during your side hustle journey, and how did you navigate them?

    I am now 43 and have been playing music for 28 years. I went to vocational school for computer repair in 1999 and took a job with IDT. While there, I became skilled in telecom and got certified in Cisco networking technology. Around that time, I was splitting time between the Newark office and the IDT offices in Manhattan. Then September 11 happened, and the towers fell close to the building I was commuting to, and I thought, Life is too short. I left IDT to pursue music full-time. I have been playing weddings, bar and bat mitzvahs and concerts and recording music ever since.

    Along the way, I have kept my tech skills fresh by taking jobs here and there, but oftentimes, they didn’t have the flexibility I needed to keep doing my passion — music-related work. This past summer, I was looking for work as the summer season of busy music gigs was slowing, and I was trying to cobble together something that enabled me to use my tech skills where and when I wanted. I have a family now and had considered driving for Uber and Lyft to bring in some income, but I had some safety concerns and wanted to work from home. I came across Geeker, and it was exactly what I was looking for. I earn between $70-$90 an hour and work as much and as little as I need to, all from the comfort of home. I also get to help people, which I love.

    Related: At 23, She Started a Side Hustle for ‘Quick Money.’ Now the Business Brings in More Than $1 Million a Month — and Boasts Celebrity Fans.

    How long did it take you to see consistent monthly revenue? How much does the side hustle bring in on a monthly basis now?

    It varies every month because of the nature of what I do, but I average roughly $2,700 a month for about 28 hours of work. In the months that I have more time, I log in to Geeker to take on more, but on the average month, I only work about an hour each day.

    What’s your favorite part about working on the platform?

    Helping people from different parts of the world no matter where they are. The money component is just a small benefit I receive from doing something good for someone else. To me, money is a bonus and is secondary to the main reason I use Geeker for my side hustle.

    Related: The Most Unexpectedly Popular Side Hustle of the Decade Has Low Startup Costs and High Markups

    What’s your advice for others hoping to be successful on Geeker or with any side hustle?

    If you have the time, patience, passion to help people and a basic knowledge of how to fix computer problems, you can be on the right path to succeed on Geeker. “Success is about the journey, not the destination” is a life lesson I integrate into everything I do.

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    Amanda Breen

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  • Who Owns The Rights to Your AI-Generated Content? Not, It’s Not You. Uncover The Scary Truth That Puts AI Users At Risk. | Entrepreneur

    Who Owns The Rights to Your AI-Generated Content? Not, It’s Not You. Uncover The Scary Truth That Puts AI Users At Risk. | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    AI detection in workplaces will be standard to safeguard company assets. Employees and consultants may face repercussions for passing off AI-generated content as original.

    In this eye-opening video, Ben Angel delves deep into a critical issue that every content creator, marketer, designer, consultant and author needs to be aware of: AI copyright. A recent report from Copyleaks has brought to light that a staggering 60% of OpenAI’s GPT-3.5 outputs contain elements of plagiarism. But there’s more to the story.

    The evolving landscape of artificial intelligence is transforming how we create content and develop products and services. However, the realization that copyright laws do not protect AI-generated material might come as a shock to many. This lack of protection opens the door wide to rampant plagiarism and unauthorized resale, leaving original creators without legal recourse.

    Are you fully utilizing AI to drive your productivity and profits yet?

    Download the free ‘AI Success Kit‘ (limited time only). And you’ll also get a free chapter from Ben’s brand new book, “The Wolf is at The Door – How to Survive and Thrive in an AI-Driven World.”

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    Ben Angel

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  • These Are the Top 6 AI Threats to Your Business Right Now | Entrepreneur

    These Are the Top 6 AI Threats to Your Business Right Now | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Imagine standing on the brink of the most transformative era in modern history, an era shaped by artificial intelligence, and failing to understand its impact on your business.

    Ignoring the tidal wave of AI positions you squarely on the path to professional extinction. It opens the door for competitors to clone your success, for automation to replace your role and for your relevance in your industry to evaporate.

    Think this is hyperbole? You haven’t been listening.

    Watch this transformative video from bestselling author, Ben Angel, now — it will give you a crash course on the top risks entrepreneurs are walking straight into and the top skills they require to successfully navigate the change that is already underway.

    Are you fully utilizing AI to drive your productivity and profits yet?

    Download the free AI Success Kit (limited time only). And you’ll also get a free chapter from Ben’s brand new book, The Wolf Is at the Door: How to Survive and Thrive in an AI-Driven World.

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    Ben Angel

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  • Driving the Future: AI, Ethics and Jobs in the Age of Automation | Entrepreneur

    Driving the Future: AI, Ethics and Jobs in the Age of Automation | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    In an era when technology dominates the landscape, algorithms wield power far beyond mere computation. The transformative promise of artificial intelligence (AI) lies not solely in its ability to enhance products or streamline services. Of far greater significance is its capacity to deepen our understanding of ourselves as a society and highlight the necessary moral compass amid this transition.

    Related: The Top 4 Most Bankable AI Skills You Need to Succeed in 2024

    AI is a catalyst — orchestrating pivotal revolutions across diverse industries — and the advent of driverless cars stands as a testament. Although autonomous vehicles foretell a future of unprecedented convenience and security, they also unravel a host of societal and ethical dilemmas. Can these machines make morally weighted decisions? And more pressingly, how can we program those decisions in a manner that upholds our collective ethical norms?

    This episode of the Beyond Impossible podcast, with special guest Jonathan Campos of Alto, isn’t just another fireside chat about emerging tech. Instead, Campos unravels the societal and ethical layers evolving alongside driverless technology. However, the realm of AI isn’t merely altering our roadways — it’s reshaping our workplaces. The transformation accentuates another driving concern: jobs. The futuristic promise of AI comes with an undercurrent of anxiety about job losses. In a world preoccupied with competitiveness, AI advancements can appear a double-edged sword. And Campos tackles this challenge head-on.

    Related: This Retiree’s ‘No-Brainer’ Side Hustle Makes More Than $1,000 a Month — and Is About to Grant Him Another Life-Changing Perk

    If Ben Angel’s Beyond Unstoppable lights up your day, please take a moment to rate and review the podcast! This is a great way to support our mission of empowering more individuals like you to supercharge their lives and businesses. What’s more, don’t forget to follow the podcast if you haven’t already. We’re spicing things up with lots of bonus episodes.

    Related: How to Start a ‘Million Dollar’ Morning Routine

    About Beyond Unstoppable

    Hosted by bestselling author Ben Angel, Beyond Unstoppable is a transformative exploration of biology, psychology and technology. Learn from world-renowned experts like Jim Kwik, Amy Porterfield, Mari Smith and Jason Feifer. Dive into advanced AI tools, biohacking, and strategies to make you unstoppable.

    Subscribe to Beyond Unstoppable: Entrepreneur | Apple | Spotify | Google

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    Ben Angel

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  • The 7-Step ChatGPT Formula for Peak Productivity and Profit | Entrepreneur

    The 7-Step ChatGPT Formula for Peak Productivity and Profit | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Unlock the full potential of AI for your business with this ultimate 7-step ChatGPT prompt formula. It’s the key to driving unprecedented productivity and soaring profitability with ease.

    Are you fully utilizing AI to drive your productivity and profits yet? Download the free “AI Success Kit” (limited time only). You’ll also get a free chapter from Ben’s brand new book, “The Wolf is at The Door — How to Survive and Thrive in an AI-Driven World.”

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    Ben Angel

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  • Apple Is Working Multiple Foldable Phone Prototypes: Report | Entrepreneur

    Apple Is Working Multiple Foldable Phone Prototypes: Report | Entrepreneur

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    This article originally appeared on Business Insider.

    Apple is reportedly working on prototypes of foldable devices.

    The company is making prototypes of at least two iPhones that would fold widthwise and has reached out to at least one manufacturer regarding parts for foldable phones of different sizes, The Information reported Wednesday, citing a person with direct knowledge of the matter.

    The phones are still in the early development stage and there’s no guarantee they ever become available to consumers, the person told the publication.

    Apple has also been considering a foldable iPad and has been working with LG and Samsung on displays for foldable iPad prototypes, The Information reported, citing former Apple employees.

    Apple has been looking into foldable devices for years.

    In 2016, the company received a patent for a phone that could fold down the middle. In 2020, Apple filed a patent for a foldable electronic device that, when folded, would leave a small portion of the display still exposed so the user could continue to see notifications even with their phone closed. A patent application from Apple last year detailed a foldable iPhone could close itself if dropped to protect the screen from serious damage.

    In 2022, supply-chain analyst Ming-Chi Kuo predicted Apple could launch its first foldable device in 2025 at the earliest and anticipated it could be “a foldable iPad or a hybrid of iPad & iPhone.”

    Last year, Bloomberg reporter Mark Gurman said of foldable iPhones that he “wouldn’t anticipate one launching in the near future,” adding that the company is more “focused on larger foldable devices.”

    In a resurgence for foldable phones, competitors like Google, Samsung, and Motorola have released their own versions in recent years.

    Samsung Galaxy Z Flip 5 (left) and Motorola Razr (right). Best Buy / Motorola via BI

    The head of Samsung’s mobile experience division, TM Roh, told CNET last year that the company’s foldable phones were “on par” with the also-foldable Galaxy Note in sales. The company has a goal of selling 20 million foldable smartphones this year, according to a report from Korean media outlet The Elec.

    Apple did not immediately respond to a request for comment ahead of publication.



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    Sarah Jackson

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  • Get This AI-Powered Real Estate and Property Management Platform for Only $200 | Entrepreneur

    Get This AI-Powered Real Estate and Property Management Platform for Only $200 | 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.

    Entrepreneurs and business leaders who work in the real estate space need to use the best tools to maximize their reach, discoverability, and ultimately profits. An example of such a tool is this lifetime subscription to the Mashvisor Professional Plan on sale for just $199.99 (reg. $3,599) for a limited time only.

    Designed to help landlords and property owners better manage rentals, and real estate professionals find opportunities more easily, this AI-powered platform is designed to find markets, and properties, to rate properties based on their potential, and to help with management-specific needs.

    Its market-finding tools are designed to zero in on the best long-term and short-term rental markets in the United States. Mashvisor rates these places based on their rental revenue, cap rate, and crime rate, and it aggregates these ratings into what’s called a Mashmeter Score. Its property-finding tools can highlight hot investment properties, and they can be matched to preferences the user sets when beginning to search. Some of the criteria that can be specified include the budget, rental strategy, location, and property type.

    Mashvisor can help you optimize your Airbnb rates for short-term rentals with specialty analysis, market insights, and Airbnb pricing with an AI-driven Airbnb calculator. The Pro Plan featured in this deal also supports bulk research and analysis, so you can find multifamily and foreclosure properties, export up to 60 Excel searches per month, and analyze property listings.

    Discover how Mashvisor earned an excellent rating above 4/5 stars on Trustpilot.

    This lifetime subscription to the Mashvisor Professional Plan is on sale for just $199.99 (reg. $3,599) for a limited time only.

    StackSocial prices subject to change.

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    Entrepreneur Store

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  • Many Employees Fear Being Replaced by AI — Here’s How to Integrate It Into Your Business Without Scaring Them. | Entrepreneur

    Many Employees Fear Being Replaced by AI — Here’s How to Integrate It Into Your Business Without Scaring Them. | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    It is understandable that people are generally concerned about automation replacing jobs, but gaining buy-in for the integration of AI is not just about alleviating fears. Instead, the job of leadership is to build confidence that this tech can help us meet our goals faster and with a larger upside. If companies are to successfully navigate this transition, people need to know that leadership is incorporating AI in a way that improves and maximizes their contributions and optimizes company growth, ultimately leading to increased experience and compensation for the team.

    We have a curated list of projects for the next year and people have already dedicated many months of their time to prioritize them. So, I am very transparent about what we can gain from AI and machine learning, which is building upon our existing roadmap with the end result of a more robust and powerful suite of products. This will not happen all at once. A staged approach to integrating AI into workflows and products emphasizes strategic resource allocation and a commitment to continuous learning. Leaders are on a journey with AI as much as anyone else, so it starts at the top.

    Related: Building an AI-Augmented Workforce While Remaining Human-Centric

    Integration: A staged approach

    The first goal of integrating AI should be understanding the quickest way for it to start having a positive monetary benefit. While our AI project is still a work in progress, we are expecting to increase revenue anywhere from $2 million to $20 million as a result of a first round of investment of under $100,000. But to achieve that type of result, leaders need to get comfortable with AI and figure out the challenges and complexities they might encounter.

    I am hiring outsourced firms to build the smallest prototype possible so I can be part of an ongoing conversation about the most feasible way to integrate AI. It was similar to when I would meet with my CTO every morning to talk about building the main product of our business today. We would combine his knowledge of programming and my knowledge of our business goals to make daily improvements and get a minimal viable product out to the market for testing as quickly as possible. Getting real-world feedback and seeing real work performance is when you truly start to improve and refine your product.

    My initial goal with testing AI is to increase our push messaging system. We send millions of messages daily with just one person handling the creation, scheduling and optimizations of hundreds of different messages. With AI, we can customize them to a previously unthinkable degree, leading to meaningful performance optimizations that AI can handle automatically. We also have other products that should have a machine-learning component at their center. By exposing my product and dev teams, as well as myself, to the potential of AI, we won’t waste resources without seeing a solid increase in performance. And for all that to work, communication must be consistent throughout the process.

    Related: 3 Practical Ways to Let Artificial Intelligence Work for You

    Communicating our direction

    I am a huge proponent of transparency in all facets of business. I want employees to know how any changes we consider will impact them. But if I am not articulating my goals clearly, misconceptions can take root. It’s important for leaders to express certainty about their direction with AI integration and provide a clear vision for where their investments are leading the company.

    As a company scales and more people’s ideas are competing for limited resources, leaders need to be as accurate as possible in how they prioritize. For example, spending $1 to make $14 should be prioritized over projects that cost $1 for a $3 return. That may seem obvious but a threefold return on investment is persuasive. Prioritizing the project with the better yield first will then fund building many more of the product with the smaller return.

    When people see that we are risking the least money to get positive results the quickest, we are more likely to get buy-in from everybody. Start small and build from there. If we can increase our marketing message response rates by 2%, then we will have more confidence applying the prototype to our external products. It is also an opportunity to reinforce our messaging.

    Paying attention to red flags

    As leaders socialize ideas for AI integration across a wide range of people, they may come across major red flags of what you are missing. Everybody has different perspectives. If you are a glass-half-full kind of person, listening to the glass-half-empty kind of person offers a complementary point of view.

    Whenever I have ideas to really move the numbers, I tend to act fast. It is crucial that people understand that I am not fast-tracking AI integration because I am unhappy with our current process or people. It is because I am happy that I will not risk what we already have unless I am fully sold on the range of the upside — and I want to expedite the learning process to get to those benefits faster.

    I still want to talk to as many people as I can — employees, developers, marketing folks, product managers, external investors — both for the tone of responses and any major issues. Those red flags may be great things to consider or I need to give people more information. Either way, my response can alleviate their concerns.

    Related: I Transformed My Company Through AI 15 Years Ago — Here’s What I’ve Learned

    AI and human: Complementary growth

    I believe people should embrace AI in much the same way they embraced computers 20 years ago. Computers opened the door for more new jobs and greater diversity than they replaced, so leaders need to emphasize that AI represents a major opportunity for employees with a growth mindset — while balancing efficiency and capability gains with the human elements of creativity, empathy and ethical judgment. Think about ways to engage curious employees through workshops, courses, webinars and industry conferences. With transparent communication and a commitment to continuous learning, people will come to see AI as a complement to our human endeavors.

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    Daniel Todd

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  • How to Streamline Your Digital Ecosystem | Entrepreneur

    How to Streamline Your Digital Ecosystem | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    I vividly remember when Microsoft rolled out Windows 95. Designed to actually look like a desktop, with icons for the Recycle Bin, Briefcase, Inbox and other functions, it felt revolutionary, a boon for productivity as well as operations and logistics, and above all, user-friendly. And that innovation was market-proven: Microsoft product designer at the time, Juliette Weiss, noted in a 2017 article for Medium, “It was the most heavily user-tested product in [the company’s] history.”

    In those days, it made sense to treat a computer workspace more or less like your home or office desktop — to regularly clean and organize it just as you would its physical facsimile. But today, with cloud computing and an endless number of automated tools and apps, the digital/physical workspace analogy doesn’t quite hold up. Organizing your 21st-century ecosystem isn’t just a matter of implementing a smart filing system, but about choosing the right tools and building intuitive systems, then continually refining and updating them. Harvard Business Review summed it up well in an article published more than a decade ago: “Our job today and tomorrow,” it read in part, “isn’t to organize ourselves better; it’s to get the right technologies that respond to our personal productivity needs.”

    At Jotform, my team and I rely on a multitude of tools and platforms for personal work and collaboration and streamlining them has helped us to reduce friction, increase output and both grow and scale without a dime of outside funding.

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    Aytekin Tank

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  • The Number 1 Most Bankable AI Skill You Must Have to Succeed in 2024 | Entrepreneur

    The Number 1 Most Bankable AI Skill You Must Have to Succeed in 2024 | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    If you don’t foster this skill, you’ll fall behind the pack financially and professionally in 2024. Are you fully utilizing AI to drive your productivity and profits yet? Download the free “AI Success Kit” (limited time only). And you’ll also get a free chapter from Ben’s brand-new book.

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    Ben Angel

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  • Can Hackers Steal Your Info Even If Your Webcam is Covered? | Entrepreneur

    Can Hackers Steal Your Info Even If Your Webcam is Covered? | Entrepreneur

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    That tape over your webcam might not be enough — the hackers are watching; it might be the right time to install another privacy shutter.

    In a report just published in Science Advances, researchers at MIT emphasized the risks to imaging privacy that ambient light sensors can offer. Users of devices worried about security may find solace in software permissions that limit webcam use and hardware solutions like shutters. Nonetheless, studies have demonstrated that one of the typical ambient light sensors used in a variety of devices can be used to collect visual data. These tiny sensors are normally permission-free on a device level and aren’t closed or deactivated by users.

    Related: A Roomba Recorded a Woman Using the Bathroom, and the Pictures Wound Up on Social Media. Could That Happen to You?

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    Deanna Ritchie

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  • 8 Trends to Watch Out for In Grid Energy | Entrepreneur

    8 Trends to Watch Out for In Grid Energy | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    For many, the future of energy seems so close yet too far away. That image is coming into view but is still blurry and distant for many. As a clean grid energy expert, the future is now. These technologies exist, and they’re getting better every day. They will define what the energy grid and the homes and businesses of the next 50 to 100 years it supports will look like.

    For over 20 years, I’ve been working and leading in the energy-saving and home improvement industry. I’ve been learning and using my years of experience to educate people about green living for years. More recently, I’ve been working on the prototype for the home of the future in Denver, CO. Here are some of the energy trends and innovations I see as promising for energy-efficient homes of today and tomorrow.

    1. Grid analytics

    Grids can now collect obscene amounts of data on how energy is used. It can track connected asset performance and identify equipment issues. It can identify trends associated with the time of year and weather patterns through predictive analytics to manage energy production, storage and distribution effectively.

    Related: 5 Renewable Energy Sources To Look Out For in 2024 and Beyond

    2. Grid AI

    Artificial intelligence can use machine learning to adapt automatically to trends. Imagine a grid that ramps energy production up and down ideally to reduce wasted resources, driving energy efficiency up and, over time, the cost to manage energy down.

    In the shorter term, grid AI switches between renewable and non-renewable energy sources. In the future, it can shift among renewable to reach the most eco-friendly and cost-effective mix based on environmental or other factors.

    3. Remote microgrids

    Microgrids deliver hyper-local energy to rural locations. Rather than depending on a more extensive energy grid infrastructure with so many ways to fail between the grid and place, a microgrid produces and stores the energy where it’s needed, using whichever renewables are most available.

    4. Suburban and urban microgrids

    Today, many microgrids are treated as backup systems for essential services like hospitals, critical data centers, or disaster relief command posts. But as the technology advances, we’ll see many more communities using microgrids for everyday applications and even in more urban areas.

    This would mean localizing power to “keep the lights on” while staying connected to (but able to disconnect from) a larger grid. With the concern over the potential for strategic attacks on energy grids, decentralizing the grids is a promising solution.

    Related: 6 Tips to Invest in Renewable Energy Now

    5. EV-supportive grid management

    Fossil fuel usage continues to be one of the biggest environmental threats. Electric vehicles can reduce our dependence. But problems exist. Charging thousands of EVs taxes older energy grids and makes owning an EV cost-prohibitive for the average family.

    Green energy grids can and are working with EV owners to solve these problems. Vehicle to Grid (V2G) technology allows EVs to return power to the grid when needed without inconveniencing the car owner. Furthermore, it starts charging the vehicle when demand drops, helping the grid balance more efficiently and preventing blackouts. Whether energy companies reduce rates during non-peak hours or provide specific discount incentives for EV owners using this technology, this system can significantly reduce EV ownership costs.

    6. Grid cybersecurity

    As mentioned, centralized grids are increasingly at risk. While physical attacks are possible, cyber-attacks are much more likely. So, it’s no surprise that grids get a makeover with tools like data encryptions, anomaly monitoring, and faster threat detection and response.

    Related: Here’s Why Solar Entrepreneurs Don’t Go Off the Grid

    7. Longer and more energy storage

    We’ve taken leaps and bounds in the energy storage sector. The U.S. Energy Information Administration (EIA) has said storage capacity will double in 2024 and continue to increase, making the storage of renewable energy a more viable option in the longer term, further reducing dependence on non-renewable backups or supplementation. At the same time, the storage cost is declining as capacity increases and battery degradation decreases.

    8. The solar grid side hustle

    As Kartik Menon pointed out in their recent article, improvements in grid analytics and connectivity have the potential to open up a new solar side hustle and regional energy collaboration. As sun-soaked homes generate more power than they can use or store during peak production, they need a marketplace to offload the excess and potentially pay for energy when production is low. This system could turn whole blocks into microgrids of neighbors sharing resources.

    Grid energy is essential to daily life. But the grids of tomorrow are going to look very different. More efficiency, decentralization, greater security, and AI-powered optimizations will help grids power through and deliver to their customers. We’ve already seen these technologies take shape today, but they still have a way to go. While there is undoubtedly more to be discovered and missing links to be revealed, we’re on our way to the green-energy-powered world we want to see.

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    Abe Issa

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  • AI in Business: Pros and Cons Explored | Entrepreneur

    AI in Business: Pros and Cons Explored | Entrepreneur

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    In recent years, the integration of artificial intelligence (AI) into the business world has brought about transformative changes. AI has been part of many business strategies and projects. And the true question you want to ask is: Can we actually trust AI in business? While the benefits are evident, there are also significant challenges that organizations must grapple with.

    Cons

    AI-generated Cyber Attacks

    The rise of AI has given cybercriminals a potent tool for orchestrating sophisticated attacks. AI-driven cyber threats can adapt and evolve in real time, making them harder to detect and counteract. The infusion of AI into cyber threats introduces a level of adaptability and real-time evolution that poses unprecedented challenges for businesses striving to safeguard their digital assets.

    AI-driven cyber threats exhibit a dynamic capability to adapt and evolve in real time, presenting a daunting challenge for cybersecurity professionals. Unlike conventional threats, these intelligent adversaries can learn from their experiences, continuously refining their tactics to exploit vulnerabilities, making them not only harder to detect but also more resilient to traditional security measures.

    Related: The Silent Revolution: Striking A Balance Between Innovation And Regulation

    One significant risk lies in the potential utilization of AI in crafting highly targeted and personalized attacks. For instance, hackers could employ AI algorithms to analyze vast datasets of individuals’ online behavior, allowing them to create hyper-personalized phishing campaigns.

    Limitations of AI-powered Chatbots

    While AI-driven chatbots have become prevalent in customer service, they are not without their limitations. Instances of chatbots providing inaccurate or inappropriate advice have surfaced, tarnishing the reputation of companies utilizing this technology. Notable cases, such as the DPD AI chatbot that exhibited unprofessional behavior, highlight the risks associated with relying solely on AI for customer interactions.

    Generative AI and Inaccurate Information

    Generative AI emerges as a powerful yet double-edged tool, occasionally giving rise to misleading or inaccurate content. This inherent risk poses significant challenges for businesses that heavily depend on AI-generated content for crucial content processes and communication strategies. We need to consider the potential pitfalls and risks associated with relying on generative AI in content creation, emphasizing the imperative need for human oversight to align the generated information with the company’s core values and objectives.

    Businesses leveraging generative AI for content creation encounter a range of challenges, including inaccuracies and misinformation. The very nature of AI algorithms, while capable of producing content at scale, may lack the nuanced understanding and context that human intuition provides. As a result, there is a heightened risk of inaccuracies slipping through, potentially leading to misguided decisions or misinformation being disseminated.

    Ethical Concerns and Bias

    As AI systems learn from vast datasets, they may inadvertently perpetuate biases present in the data. This can result in discriminatory outcomes, raising ethical concerns. Businesses adopting AI must grapple with the challenge of bias in AI algorithms to ensure fair and equitable practices.

    Related: Building an AI-Augmented Workforce While Remaining Human-Centric

    The Rise of Deepfakes and Business Risks

    Deepfakes, powered by sophisticated artificial intelligence algorithms, enable the manipulation of audio and video content to create hyper-realistic simulations of individuals saying or doing things they never did. This emerging trend presents multifaceted risks for businesses across various sectors.

    Competitors can leverage this technology to create fabricated content, such as misleading statements from key executives or falsified product demonstrations.

    Moreover, the rise of deepfakes amplifies the challenges associated with identity theft and fraud. Executives, employees, or even AI-generated personas could be targeted, with deepfakes used to impersonate them convincingly. This not only poses a threat to the internal security of organizations but also increases the risk of fraudulent activities, such as unauthorized transactions or the spread of false information through seemingly credible sources.

    Pros

    Data Integration Capabilities

    One of the primary advantages of AI in the business world is its ability to integrate large volumes of scattered data. Companies dealing with diverse tools generating data can benefit from AI’s capacity to unify this information, providing a comprehensive view of the enterprise.

    This promotes informed decision-making and strategic planning, allowing team members to find the information they need in no time. Some of the best AI search engines for work can support business knowledge base and productivity. With less time spent searching for files and accidentally duplicating work, users can focus their energy where it’s needed.

    Rapid Pattern Recognition in Big Data

    In our data-driven world, where information is constantly being generated at an unprecedented pace, AI can provide efficiency and insight when dealing with large volumes of data. AI tools have demonstrated their use when analyzing vast amounts of data, unraveling intricate patterns, and identifying trends better and faster than human analysts.

    The sheer volume and velocity of information generated by online transactions, customer interactions, and market dynamics can overwhelm traditional analytical approaches. Yet, data is power, so this is precisely where AI’s rapid pattern recognition comes into play.

    AI’s pattern recognition capabilities have become a game-changer. AI algorithms can decipher nuanced trends in consumer preferences, allowing businesses to fine-tune their marketing messages and strategies in real time. This agility ensures that promotional efforts remain aligned with evolving market dynamics, maximizing the impact of marketing campaigns and enhancing overall engagement.

    Co-Piloting for Young Developers

    For budding programmers and developers, AI serves as a valuable co-pilot. It aids in code development, offering suggestions, identifying errors, and accelerating the learning curve for those still in the early stages of their careers. This collaborative approach fosters skill development and boosts confidence.

    Operational Efficiency and Cost Reduction

    AI can significantly enhance operational efficiency and reduce costs in the business world.

    AI automates repetitive tasks, such as data entry and customer service interactions, freeing up human resources for more strategic activities.

    Its predictive analytics capabilities optimize supply chain management, inventory, and financial planning, minimizing errors and reducing excesses. AI-driven process optimization and machine learning identify inefficiencies, streamline workflows, and improve productivity.

    In addition, AI enhances fraud detection in financial transactions, aids in talent acquisition through automated screening, and optimizes energy consumption in manufacturing.

    As businesses navigate the complex landscape of AI integration, a nuanced understanding of both the advantages and challenges is imperative. While AI presents exciting opportunities for innovation and efficiency, we can’t forget that the technology is still in its infancy. While there will be plenty of time to address ethical concerns, mitigate risks, and harness its full potential, there is no denying that AI can make a real difference to the way we operate businesses

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    April Isaacs

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  • Your Clients Could Be Using AI to Clone Your Business Without Your Consent — Wiping Out Your Business in Minutes | Entrepreneur

    Your Clients Could Be Using AI to Clone Your Business Without Your Consent — Wiping Out Your Business in Minutes | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    AI clones, a stealthy threat to your livelihood or a transformative tool to supercharge your business productivity. Dive into the latest concerning AI trend to discover how to protect yourself and your business from being replaced.

    Download your complimentary AI guide plus an exclusive, free chapter from my brand new book, “The Wolf is at The Door,” for the top 10 skills you need to survive and thrive in an AI-driven world.

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    Ben Angel

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  • 6 Ways AI Can Boost Your Course Creation Business | Entrepreneur

    6 Ways AI Can Boost Your Course Creation Business | Entrepreneur

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    Opinions expressed by Entrepreneur contributors are their own.

    Online course creation has become a booming business, with the e-learning industry projected to reach $370 billion by 2026. Many course creators have successfully turned their experience in a particular niche into a thriving opportunity for growing a business through online teaching.

    And, like so many other industries, course creation is poised to be disrupted by AI. In fact, with several tools already introduced with a specific focus on course creation, the question on creators’ minds shouldn’t be if they’ll use AI, but when and how.

    Related: 4 Lesser Known Ways to Make Your Online Course More Impactful

    1. AI can help you come up with content ideas

    Not sure what topic you should cover for your next course? AI can significantly enhance your own brainstorming efforts, in large part thanks to its ability to analyze big data and utilize predictive analytics to help course creators determine whether a topic is appealing to their audience.

    By using AI to generate ideas for course content, and to assess the viability of a potential course, creators can focus their efforts on the topics that will be the most relevant and engaging to drive sign-ups and revenue.

    2. AI can provide course outlines

    AI can also assist in the creation of your courses by helping you quickly develop lesson outlines. AI can build an outline based on key instructions such as the course’s description, main talking points and target audience. It can even account for the audience’s knowledge or skill level to help you craft content for beginners or experts.

    While course creators must fill in the details of the course based on their own expertise, using AI to create an outline provides an important foundation that will help you put together a well-organized course with a logical flow of information. This will make it easier to develop your course content, while also ensuring your course delivers real value to online learners.

    3. Teaching AI can be a powerful course itself

    Among the many content ideas that AI can help you come up with, it’s worth considering how learning to use AI tools can become a viable course topic itself.

    For example, according to a case study from Business Insider, Chris Winfield developed a series of paid online challenges to teach AI use cases to other business owners. At the end of each challenge, participants who wanted more support could sign up for courses and mastermind programs. From January to September 2023, Winfield had over 40,000 paid challenge participants, with the challenges and courses reaching $2.7 million in sales.

    With so much demand for learning to use AI, teaching about AI applications relevant to your niche could be a powerful revenue generation tool.

    Related: Creators Shouldn’t Overlook These Powerful Uses for AI Like ChatGPT

    4. AI can generate quizzes and other course materials

    A quality course is about more than just the core materials. For example, quizzes and tests have been found to improve long-term retention of new information. Creating quizzes for your course can be a time-consuming task, but AI can be trained to quickly generate quiz questions based on the material you’ve developed for your course. Because the quiz questions are drawn directly from your course content, you can have confidence that they will align with what you teach.

    Visual aids can also be a powerful tool that makes digital courses more engaging. AI can help you find relevant images, create graphs and charts based on written course materials and more. For courses with audio or video content, AI can help create transcripts to better meet the needs of all learners.

    5. Manage “back office” tasks

    A successful career as a course creator involves more than the courses themselves. Data entry, tracking course sign-ups, managing email and other activities are all necessary parts of a successful course creation business, but they can be unnecessarily time-consuming. The repetitive nature of these tasks also makes them more prone to human error, which can become surprisingly costly.

    In fact, an analysis by the New York Post found that workers make an average of 118 mistakes at work per year, with distractions, stress and multitasking often to blame. By outsourcing repetitive tasks to AI, you can greatly reduce the risk for errors with these repetitive tasks, while also enjoying more time to focus on other aspects of your course creation business.

    With AI’s help, you can devote more time to creating high-quality courses and connecting with your students, which will lead to further business growth.

    Related: How to Make a Real Difference Teaching Online Courses

    6. AI can provide 24/7 help to students

    Chatbots can also be a helpful AI addition to your course creation toolkit. After all, e-learning participants may have additional questions about course materials or need support at times when you’re not available.

    Adding an AI chatbot tool to your course not only gives students 24/7 assistance, but it can also help resolve simpler questions and requests in a timely manner. This way, you’ll only need to worry about helping learners with more complex issues, which can be a valuable time-saver.

    AI cannot fully replace the human element in course creation. After all, your specific knowledge, insights and personality are essential parts of creating course materials that connect with and provide value to students. However, AI can be a powerful tool for course creators, helping you work more efficiently so you can turn your courses into a viable business.

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    Andres Tovar

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