Generative AI

  • Generative AI

    Generative AI and the Transformation of Everything

    CIO, 10/24/23. Generative AI is a rapidly advancing technology that has the potential to transform numerous industries. However, concerns about its impact on jobs, data security, and copyright infringement have sparked debates and controversies. While these concerns are valid, they can be alleviated with proper education, policies, and technology solutions. Enterprises must understand and recognize the risks associated with generative AI, implement data protection measures, and establish regulatory guardrails. By investing in security measures, organizations can safely harness the power of generative AI and take advantage of its transformative potential. READ THE ARTICLE

  • Generative AI

    Generative AI at an inflection point: What’s next for real-world adoption?

    VentureBeat, 09/04/23. Generative AI is gaining wider adoption in business, as seen with Walmart’s rollout of a gen AI app for its non-store employees. This trend is driving the demand for graphical processing units (GPUs) needed to train deep learning models. Nvidia, the dominant supplier of GPUs, reported record earnings. However, experts debate whether this demand marks the peak moment for gen AI or signals the beginning of the next wave of development. Nvidia argues that CPUs are now legacy infrastructure and companies should focus on optimizing their code for GPUs. Nevertheless, it is important to recognize that GPUs are not the answer for every software need. As the gen AI boom reaches its peak of inflated expectations, future advancements will likely require technological improvements and more accessible GPUs. The future for gen AI looks bright, particularly as it becomes increasingly intertwined with automation and productivity. The race for GPU domination is just a snapshot in the unfolding narrative of AI and computing. READ THE ARTICLE

  • Generative AI

    Innovations in predictive analytics: ML and generative AI

    Data Science Central, 07/24/23. The rise of generative AI, exemplified by ChatGPT-3 and DALL-E2, has captured the attention of investors and businesses alike. However, while generative AI has made significant strides, it alone is not enough to meet the demands of the AI revolution. Predictive models, on the other hand, offer the science fiction future that customers desire and are crucial to the success of AI adoption. These models use training data to make informed decisions and react differently to various scenarios. Generative models, in contrast, generate new data points based on their training data without human input. The progress of generative AI has led to the development of more advanced and functional models, changing the landscape of predictive AI systems. Looking ahead to 2023, some predictions for generative AI include content creation in a conversational tone, the integration of AI in various industries, a demand for prompt engineers, and the automation of web app creation and website management. Furthermore, real-world applications of generative AI range from content generation and virtual assistants to personalized recommendations and healthcare. In the realm of customer service, ChatGPT has proven useful for language translation, sentiment analysis, immediate support, order tracking, and more. Ultimately, generative AI, with its chat interface and human-like replies, has the potential to transform customer communications and recommendation systems, enhancing accuracy and personalization. AI is also employed in predictive analytics, improving data analysis, predictive models, feature selection, real-time predictions, and personalized recommendations. With these advancements, AI is poised to revolutionize various industries and work procedures, offering increased customization and efficiency. READ THE ARTICLE

  •  IBM

    IBM Study: CEOs Embrace Generative AI as Productivity Jumps to the Top of their Agendas

    IBM, 06/27/23. The IBM Institute for Business Value conducted a global study that reveals CEOs prioritize productivity as their top business priority, with technology modernization being crucial in achieving those goals. However, CEOs face barriers as they strive to adopt generative AI and modernize their organizations. The study highlights a disconnect between CEOs and their teams in terms of AI readiness. While CEOs are actively exploring generative AI, their executive teams and non-CEO senior executives express reservations about their organization’s readiness to adopt this technology. The study also emphasizes the impact of generative AI on the workforce, including both workforce reduction and hiring. Overall, CEOs see the potential competitive advantage of generative AI but acknowledge the need to address concerns regarding bias, ethics, and security. READ THE ARTICLE

  •  Advertising

    Google, Microsoft generative AI experiments concern advertisers

    Search Engine Land, 06/09/23. Google and Microsoft have sparked concern amongst advertisers as they have placed ads into their AI experiments without the option for brands to opt out. Advertisers are worried about their products and services being promoted next to unsuitable content, which could damage their reputation. Despite both tech companies pledging to listen to concerns, they have not yet given marketers the option to opt out during the experimental phase. Digital marketers are eager to regain control over where their ads appear online, with some temporarily pulling advert funding in response. READ THE ARTICLE