After a journey along the 2023 Gartner Hype Cycle™ for Artificial Intelligence, we’ve reached the final two stages: the Slope of Enlightenment and the Plateau of Productivity. Here, technologies have moved past the initial hype, and organizations are effectively putting them to use.   In this episode, Senior Director Analyst Jim Scheibmeir discusses cloud AI services, many of which are low-code, and their potential to transform industries from manufacturing to finance.  Then, Afraz Jaffri, a Director Analyst who focuses on data and analytics and AI and the editor of this year’s AI Hype Cycle, speaks to Gartner’s expectations for the future of AI technologies.    Dig Deeper:   Watch Now: Gartner Hype Cycles, Explained bit.ly/3OnZdqJ   Read: What’s New in Artificial Intelligence From the 2023 Gartner Hype Cycle https://gtnr.it/3OKAltp   Learn More: Gartner Hype Cycle Research Methodology https://gtnr.it/3Yi74uN  

In the third installment of Behind the Hype, our four-part miniseries about the 2023 Gartner Hype Cycle™ for Artificial Intelligence, we descend into the trough of disillusionment. Contrary to popular belief, technologies that reach this phase of the Hype Cycle are not all ill-advised investments; sometimes, the market is adjusting and finding efficient uses for these technologies.   Afraz Jaffri, a Director Analyst who focuses on data and analytics and AI and the editor of this year’s AI Hype Cycle, joins us to clear up common misconceptions about the trough of disillusionment, a place where we find what we thought was possible is not. Then Senior Director Analyst Jonathan Davenport weighs in on the current and future states of autonomous vehicles, which sit in the trough on the 2023 Gartner Hype Cycle for Artificial Intelligence.   Dig Deeper:   Watch Now: Gartner Hype Cycles, Explained bit.ly/3OnZdqJ   Read: What’s New in Artificial Intelligence From the 2023 Gartner Hype Cycle https://gtnr.it/3OKAltp   Learn More: Gartner Hype Cycle Research Methodology https://gtnr.it/3Yi74uN  

In the second installment of Behind the Hype, our four-part miniseries about the 2023 Gartner Hype Cycle™ for Artificial Intelligence, we climb to the peak of inflated expectations. Here, we discuss the most talked about — and possibly overhyped — technology of the year: generative AI (GenAI).   First, Afraz Jaffri, a Director Analyst who focuses on data and analytics and AI and the editor of this year’s AI Hype Cycle, discusses the tell-tale signs that a technology has reached the peak of hype. Then, Frances Karamouzis, Distinguished VP Analyst and Group Chief of Research for IT Leaders, explains that while some companies are already using GenAI to create value, its true potential as a transformative technology remains unrealized. Finally, Global Chief of Research Chris Howard posits that GenAI may already be past the peak of inflated expectations, the result of which is disillusionment among its early adopters.    Dig Deeper:   Watch Now: Gartner Hype Cycles, Explained bit.ly/3OnZdqJ   Read: What’s New in Artificial Intelligence from the 2023 Gartner Hype Cycle https://gtnr.it/3OKAltp   Learn More: Gartner Hype Cycle Research Methodology https://gtnr.it/3Yi74uN  

Welcome to Behind the Hype, a four-part miniseries about the 25 technologies on the Gartner 2023 Hype Cycle™ for Artificial Intelligence. In each episode, we’ll explore the different phases of a Hype Cycle, what new innovations are included and when businesses can expect them to start providing real value.   In this episode, Afraz Jaffri, a Director Analyst who focuses on data and analytics and AI and the editor of this year’s AI Hype Cycle, discusses how the 25 technologies were selected and what broader trends have recently emerged.    Dig Deeper:   Watch Now: Gartner Hype Cycles, Explained  https://bit.ly/3OnZdqJ   Learn More: Gartner Hype Cycle Research Methodology https://gtnr.it/3Yi74uN  

As generative AI continues to capture business leaders’ attention, Gartner Global Chief of Research Chris Howard explores the evolution of intelligence, including generative, machine, human, swarm and artificial intelligence. Listen in to learn the capabilities and limitations of each and why understanding this is crucial to unlock the full potential of AI and humans alike.   Dig Deeper:   Learn More: What Generative AI Means for Business https://gtnr.it/3DnGGpz   Watch Now: More Episodes of Top of Mind with Chris Howard    Download Now:  Create a Robust AI strategy — From Plan to Execution https://gtnr.it/3Q0p4ro