ReportWire

Tag: AI Strategies

  • Is AI the Future of PR? | Entrepreneur

    Opinions expressed by Entrepreneur contributors are their own.

    I was recently asked, “What trends should we be watching out for in terms of the future of PR?” Well, according to my 75-year-old mother — and lots of other interested observers — the future of PR looks like it’s populated with a little AI, some more AI … well, okay, entirely with AI.

    If you’re a business owner considering letting AI run your PR show for you, let me tell you why that’s a bad idea. Don’t get me wrong — I’m a fan myself; I’ve steadily been incorporating AI tools and tasks into my daily workflow, and I get the appeal. And the added efficiency.

    But as a two-decade veteran in this field, I also know a helluva lot more about PR than any bot you can call on, and here’s my take on where things stand now and where they look like they’re going in the marriage between PR and AI.

    AI is great in the passenger’s seat, not the driver’s

    AI makes for an incredible assistant. PR professionals can benefit from it tremendously in myriad areas, such as drafting initial press releases and pitches, creating data-based reports and analyzing audience/consumer preferences and trends. The time savings (and thus the concomitant cost-efficiency) are indisputable.

    But public relations, by definition, involves the “public” — a public that expects cultural awareness, responds to qualities like empathy and humor, and demands ethical accountability. Last I looked, AI doesn’t live by a moral code, it isn’t a sentient being personally sensitive to any specific cultural milieu, and it certainly isn’t the funniest guest at the party!

    So long as the “public” with which our industry deals turns to us for solid expertise, sound judgment and fair business practices, human intuition and integrity should steer the vehicle, not algorithms.

    Related: AI Is Changing Public Relations — Here’s How to Stay in Control

    The old-fashioned meetup is still a thing

    Remember when everyone thought books were going to die once Kindle hit the market? And yet reading is still a beloved pastime in America, with most readers still preferring printed books over ebooks, relishing the touch, feel, smell and experience of turning actual pages.

    The same applies to PR. Journalists love it when we pop into the office to bring them a coffee and have a chat. Media contacts readily accept our personal invites to restaurant openings or product launches. Influencers welcome the opportunity to come meet us at a new venue or promoted site and actively participate in our PR efforts.

    And when it comes to PR clients, they, too, appreciate sitting across the table from us face-to-face, where we can see each other’s expressions, read each other’s gestures, shake hands hello and hug goodbye in person. AI can’t replace eye contact and shared smiles, the authentic moments of connection that form client bonds.

    So long as “relations” remains part of our industry name, being in the same room with someone is always going to bring you closer than ChatGPT output. Which leads me to …

    Relationships will always trump datasets

    Cue up Streisand for this one: “People who need people …” As smart and spiffy as AI is, it is not and never will be a person. People build rapport. People establish credibility. People learn to trust one another. People interpret emotions and moods. And people can adapt on the spot when they sense the discomfort of clients, stakeholders or team members.

    I’m excited about implementing AI to help my firm with research, scheduling, campaign details and delivering up-to-the-minute insights about my clients’ customer base. But AI will never hold a meeting with one of my clients. It will never anticipate their needs, see their eyes light up when we come up with a brilliant plan or reassure them when an initiative doesn’t land as hoped.

    Idea generation, mapping out a project and determining custom-tailored campaign goals for a particular client are best left to the experts. Why? Because AI’s intelligence is artificial. Humans, on the other hand, possess EI — emotional intelligence.

    Related: Why Emotional Intelligence Is the Key to High-Impact Leadership

    AI is more prone to mistakes than people are

    Sounds improbable, right? How can machine learning be inferior to us flawed and fallible mortals? I’m not talking here about mistakes like typos or forgetting to order the banners for the fundraiser. I’m talking about the things that really matter in PR, like understanding societal nuances, interpersonal dynamics, behavioral psychology and actual lived experience.

    And when AI gets that wrong? The consequences can be serious for clients. Using no-longer-acceptable language. Producing content that could be offensive to certain populations. Providing out-of-context information. And, most notably for our purposes, communicating faulty messaging.

    In PR, marketing and advertising, messaging is everything. Humans can better spot potential pitfalls with language (even if it is absolutely technically correct) and can better discern the tone and subtext of customer engagement communication. So it’s great to use AI for media monitoring and sentiment analysis. But what to do with the results of those measures should remain in the hands of real-life pros who employ cognitive reasoning, not just logic; who shrewdly apply information, not just amass and analyze it; and who can make moral judgments when called for.

    SIDE NOTE here on crisis communications: Using AI to manage crises is a whole different topic unto itself. For now, suffice it to say: It’s a no-no. Keep out! When an individual’s or company’s reputation is at stake, coming across as tone-deaf can toll the death knell for their public image. And the generative AI tools we have available today (the type of AI content-focused industries like mine are using far more than agentic) definitely runs the risk of sounding too factual, too formulaic, too … well, inhuman, right when a human touch is needed most.

    Keep your eye on integrative PR

    So what do I think the wave of the future is? Integrative PR — an approach that blends all the various communication channels into a cohesive whole for consistent branding across all platforms, no longer separating different aspects of marketing and public relations into different compartments.

    Of course AI will play a significant role as we shift toward more social media–focused campaigns and more content curation taking the place of strictly media relations, which traditionally dominated PR. But the type of integration I envision requires creativity, first and foremost, coupled with inventive strategy and finding new connections where none existed before.

    Generative AI relies on anything and everything that has existed before, and precisely for that reason, I believe humans will remain the alchemists who bring humanity to PR. After all, PR is an art, not a science. And art is made by artists — original thinkers and doers, master storytellers, who will ever play the starring role on this always-changing, wildly interesting stage of public relations.

    I was recently asked, “What trends should we be watching out for in terms of the future of PR?” Well, according to my 75-year-old mother — and lots of other interested observers — the future of PR looks like it’s populated with a little AI, some more AI … well, okay, entirely with AI.

    If you’re a business owner considering letting AI run your PR show for you, let me tell you why that’s a bad idea. Don’t get me wrong — I’m a fan myself; I’ve steadily been incorporating AI tools and tasks into my daily workflow, and I get the appeal. And the added efficiency.

    But as a two-decade veteran in this field, I also know a helluva lot more about PR than any bot you can call on, and here’s my take on where things stand now and where they look like they’re going in the marriage between PR and AI.

    The rest of this article is locked.

    Join Entrepreneur+ today for access.

    Emily Reynolds

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  • Change Your Attitude Towards AI — And Harness Its Power For Success | Entrepreneur

    Change Your Attitude Towards AI — And Harness Its Power For Success | Entrepreneur

    Opinions expressed by Entrepreneur contributors are their own.

    2023 was a year of major AI disruption. Particularly in the genre of prompt-based content creation, we saw the sporadic boom of unending tools. The public-facing version of Chat GTP reached millions of users within months of its launch.

    However, even with leaping numbers in favor of Gen AI, entrepreneurs are constantly wondering if it’s all hype or if Gen AI truly has the potential to bring long-term business benefits.

    Also, the constantly booming use case of prompt-based AI has brought entrepreneurs to the debate about the ethical use of AI. We must not forget that the foundational nature of AI links its resources to a large amount of unidentified data.

    While this means anyone without tech knowledge can leverage such foundational models of Gen AI, it also means that the process can yield default or less accurate information, leading to even data hazards.

    Related: 6 Positive Impacts of Artificial Intelligence on Digital Marketing

    A recent Accenture report says that 76% of C-suite leaders see generative AI as an opportunity for streamlining operations, reducing costs, and business growth. However, nearly 72% of respondents are investing in AI with caution due to concerns about its responsible use.

    Let’s first discuss the primary areas that hinder growth-minded businesses from implementing AI systems:

    1. Strategy: There’s palpable confusion about how AI can transform competitive dynamics and add value to business models. Most C-suite leaders are unsure how to map the financial and non-financial value generated by AI models so that they can generate the best value for their businesses. Also, in most cases, there exist huge complexities regarding the contractual and logistical viability of AI partnerships.
    2. Technology: Most leaders are still unsure which parts of their proprietary data and tech stacks should be made redundant or can be capitalized on more in the future. Leaders also witness massive capabilities and skill gaps with regard to AI system operations.
    3. Compliance: AI governance is rapidly evolving with increasing data threats. This puts leaders in uncertainty about how AI regulations will pan out across jurisdictions in the future.
    4. People: There is an increasing concern within human resources about the future of work as most perceive AI as their replacement. Next-gen leaders are still unsure how to rationalize this change management in their business.
    5. Stakeholders: Business leaders face resistance not just from human resources but also from partner networks. Most C-suite leaders struggle with AI adaptability in their partner networks, which lack tech sophistication in streamlining, securing, and reprocessing data fabrics for AI integration.

    In this article, we will discuss a few ways for business leaders to develop an actionable AI strategy. Let’s get started.

    1. Make amplified human capabilities the key focus

    AI modules are designed to evolve for sure. But they do lack emotional intelligence and moral thinking. When integrating AI into business, as a C-suite leader, you must remember that AI is not a means to replace your human resources but to complement and further augment their operational capabilities.

    There’s also a need to build confidence in your AI systems with some fundamental models. Your goal should be to create impenetrable and actionable yet adaptive AI strategies that align with global compliances and constraints.

    2. Have a designated AI control center

    At the moment, as much as the chasm is about reaping the benefits of Gen AI, more and more business leaders are concerned about AI hazards. Built with human-like tech intelligence, Gen AI can spiral out of hand without definite control.

    Also, you must align your AI strategies with a long-term business vision to reap maximum benefits. When integrating AI, you cannot centralize your business’s technical capabilities. Instead, you must have a leader with strong digital transformation capabilities and adept knowledge of AI risk and governance to design ROI metrics, establish business-wide best practices, align your strategies with financial goals, reduce risks, and, most importantly, capitalize on value from AI investments.

    3. Consider AI as a model to transform from ground zero

    We are at this very crucial crux of tech evolution, where tech investments can no longer be about transforming only specific business functions. And with AI, the need is more about reimagining entire business processes.

    Until now, you must have wondered, “How can AI make my business process efficient?” Now it’s time to consider, “How can AI help me innovate my business process further?”

    You must aim to drive the maximum impact of AI systems right from ground zero but with strict governance.

    Related: I Tested AI Tools So You Don’t Have To. Here’s What Worked — and What Didn’t.

    4. Take a look at gaps – both talent and technology

    Redundant tech architecture and skill gaps of resources are the biggest constraints of the AI growth strategy. To leverage the optimum value of AI, you need to take a closer look at restrictive data structures and outdated tech systems first.

    As a leader, you must restructure data fabrics, computational powers, and architectural capabilities to integrate AI into your enterprise systems. You also need to cleanse, secure, and process your proprietary data for seamless AI adoption.

    Also, you need to realize one critical aspect of AI expectations: It can’t improve work if your human resources are redundant and restricted to acceptance and adoption. Upskilling your employees to elevate them into AI and data-enabled roles is a crucial need of the era.

    Takeaway

    The uncertainties around AI integration are real. However, that shouldn’t stop you from reaping its proven potential. AI disruption is the order of the era, and as a business leader, you can evade its drawbacks with a monitored and practical AI strategy.

    Think about the post-Covid era, where high-growth businesses faded away because they refused to move with the much-needed tech disruptions. The tech world has surely moved towards more sustainable practices now, but as a fast-moving business, you cannot let go of a disruptive model that’s bound to be the hero of tomorrow.

    So, proceed with caution, take stock of your AI investment, but don’t hesitate to innovate with Gen AI.

    Divyesh Patel

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  • Entrepreneur | What Does ChatGPT Really Mean For Businesses? It’s Benefits and Disadvantages

    Entrepreneur | What Does ChatGPT Really Mean For Businesses? It’s Benefits and Disadvantages

    Opinions expressed by Entrepreneur contributors are their own.

    The advent of ChatGPT has disrupted the online world, and businesses must consider the potential impact of this technology on their operations. Companies need to reflect on how they conduct their work and the products and services they provide and evaluate how the integration of ChatGPT could improve their processes and deliver an even better experience to their customers.

    Benefits of chat-based AI

    ChatGPT’s ability to create natural language responses when given input from a user makes it a valuable addition to businesses seeking to improve communication with their customers or clients. With its potential to enhance workflows and deliver a superior customer experience, ChatGPT creates enormous opportunities for companies strategically leveraging technology.

    The use of ChatGPT in businesses presents numerous benefits, including:

    • Enhanced customer engagement: ChatGPT can help businesses improve customer engagement by providing quick, informative, and more natural responses to their inquiries. It leads to a more positive experience for the customer and can result in increased customer satisfaction and loyalty.
    • Automation of repetitive tasks: ChatGPT can automate repetitive tasks such as answering frequently asked questions, freeing time for employees to focus on more complex and value-adding tasks. It can increase efficiency and productivity within a business.
    • Generation of high-quality content: ChatGPT’s ability to generate human-like text can produce high-quality content for marketing, customer engagement and other business purposes. It will save businesses time and resources that supposedly would have otherwise been spent on content creation.
    • Global reach: ChatGPT’s language model can be applied in various languages, making it a powerful tool for businesses looking to expand globally and reach a wider audience.
    • Personalization and customization: ChatGPT can personalize customer interactions and tailor responses based on the customer’s preferences, needs, and history. It can increase customer satisfaction and loyalty, leading to increased sales and revenue for the business.

    These advantages highlight the potential for businesses to improve operations and customer experiences. By leveraging the capabilities of this technology, companies can streamline workflows, engage with customers on a personal level, and generate high-quality content at scale. Additionally, businesses can reach a wider audience and offer customized experiences to customers, further strengthening their connection and building brand loyalty.

    Related: 7 Ways to Use ChatGPT at Work to Boost Your Productivity, Make Your Job Easier, and Save a Ton of Time

    The limitations and challenges of chat-based AI

    While ChatGPT offers numerous benefits for businesses, it also has its limitations. ChatGPT lacks emotional intelligence and can generate errors in its text. Additionally, it requires a large amount of data for training, and there are concerns about the potential misuse or misinterpretation of its generated text, as well as privacy and security.

    In the beta version of ChatGPT, its developer OpenAI acknowledges that it may still generate inaccurate information or biased content. Its familiarity with data and events may be limited as the model was trained until 2021. AI models like ChatGPT require extensive training and continuous refinement to achieve optimal performance.

    Below are further limitations and challenges of ChatGPT:

    • Lack of emotional intelligence: ChatGPT cannot understand and respond to emotional cues and human expressions. It may lead to less human-like and personalized customer interaction, reducing the overall customer engagement experience.
    • Potential for errors in generated text: As the AI model is trained on a massive dataset, it may generate incorrect information or biased content. It can cause miscommunication and loss of credibility for the business.
    • Dependence on a large amount of data for training: AI models like ChatGPT require a vast amount of data to be trained effectively. Without sufficient training data, its ability to generate accurate and relevant responses is compromised.
    • Potential misuse or misinterpretation of generated text: ChatGPT’s ability to generate responses can cause misuse or misinterpretation, leading to negative consequences for the business.
    • Privacy and security concerns: Storing and processing large amounts of data for AI training raises privacy and security concerns for businesses. The data used for training ChatGPT or other AI models must be adequately secured to prevent unauthorized access or misuse.

    By understanding the potential limitations, businesses can make informed decisions about incorporating ChatGPT into their operations to maximize benefits and minimize risks. Additionally, ongoing monitoring and refinement may be necessary to ensure that ChatGPT continues to deliver the desired results over time. AI models require lots of training and fine-tuning to reach ideal performance levels.

    Related: Are Robots Coming to Replace Us? 4 Jobs Artificial Intelligence Can’t Outcompete (Yet!)

    Can chat-based AIs replace the workforce?

    This is a question that many people in the business world are asking as the use of artificial intelligence (AI) in the workplace becomes more widespread. The rise of AI-based chatbots like ChatGPT has the potential to automate many tasks that human workers previously performed. While chatbots can handle simple, repetitive tasks, they may struggle with complex, creative, or emotional functions that require human expertise.

    Instead, it is more likely that chatbots will augment the workforce and enhance human performance by taking over mundane tasks, freeing up time for more important tasks that require human skills. However, as with any technological advancement, businesses need to consider the potential effects on the workforce and make informed decisions about incorporating chatbots into their workflows.

    Related: How the Changing Labor Market Is Impacting Digital Transformation

    Vast possibilities of AI technology

    AI technology, particularly chat-based AIs like ChatGPT, has vast possibilities for businesses and the workforce. From enhancing customer engagement and automating repetitive tasks to generating high-quality content and providing personalization, the benefits of ChatGPT are clear. However, businesses must be aware and ready for potential limitations and disadvantages. Nevertheless, the potential for growth and innovation within AI technology is immense, and companies must weigh the benefits and limitations to make informed decisions about integrating AI into their operations.

    With careful consideration, AI technology’s potential to transform how we work and interact with customers is enormous.

    Baruch Labunski

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