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.
Watch Now: Gartner Hype Cycles, Explained
Read: What’s New in Artificial Intelligence From the 2023 Gartner Hype Cycle
Learn More: Gartner Hype Cycle Research Methodology
Opening Thoughts
Why the Trough of Disillusionment Doesn’t Spell Doom
How and Why Technologies Enter the Trough of Disillusionment
Technologies That Have Progressed to the Slope of Enlightenment
Innovation Profile: Autonomous Vehicles on the AI Hype Cycle
The Challenges of Developing Autonomous Vehicle Technology
Use Cases for Autonomous Vehicles
The Near-Term Future of Autonomous Vehicles
How Autonomous Vehicles Can Get Past the Trough of Disillusionment
Next Up: The Plateau of Productivity
Afraz Jaffri | Director Analyst
Afraz Jaffri is a Research Director at Gartner, where Mr. Jaffri focuses on Analytics, Data Science and AI. He advises Data and Analytics leaders on making the most from their investments in modern data science, machine learning and analytics platforms. He has particular focus on how to organize analytics and data science teams, implementing graph-based data management and analytics solutions and developing best practices for operationalizing machine learning models.
Jonathan Alan Davenport | Sr Director Analyst, KI Leader
Jonathan Davenport works in the Industries group, where Mr. Davenport is responsible for two IoT coverage areas; connected and autonomous vehicles; and broader autonomous things (including drones, robots and ships). To date his thought leading research provides actionable information about how to develop new differentiated business models for clients who utilize sensors and devices in connected and autonomous vehicles. His research is designed to help product leaders and CIOs take advantage of the opportunities that arise from the rapidly changing competitive landscape. He advises clients on a range of topics including; software-defined vehicles, direct and indirect monetization strategies; digitization; mapping; security; connectivity technology including telematics, 5G, vehicle to everything (V2X) and over-the-air (OTA) software updates; and smart cities topics such as smart parking and e-tolling.
Hosted by: Karen Lockhart
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