Dr. Jeffrey Welser: As the Vice President and Lab Director at IBM Almaden Research Center, Dr. Welser is at the forefront of developing cutting-edge AI technologies. His team’s work on bringing AI to edge devices is pivotal for real-time processing and decision-making.
Dr. Michael B. Matthews: An authority on embedded systems, Dr. Matthews’s focus on integrating AI with these systems is enabling smarter, faster local data processing on edge devices, reducing the reliance on centralized servers.
Naveen Rao: Formerly the VP and GM of Intel’s AI Products Group, Rao has been instrumental in developing hardware that supports edge AI, particularly through neuromorphic computing, which aims to mimic the human brain’s processing style.
Caroline Chan: As the VP and GM of 5G Infrastructure at Intel, Chan’s work emphasizes how 5G and Edge AI converge to enable ultra-responsive, data-heavy applications, driving innovations in industries like healthcare, automotive, and entertainment.
Vikram Dendi: The Chief Strategy Officer at Microsoft, Dendi’s involvement in the evolution of Microsoft Translator has shown how AI models can be optimized to run efficiently on edge devices, allowing real-time translation without internet dependence.
Chris Bergey: As the Senior VP and GM of Infrastructure Line of Business at Arm, Bergey’s work on producing efficient AI-ready chipsets for edge devices has paved the way for smarter IoT applications.
Dr. Satyam Priyadarshy: A Technology Fellow and Chief Data Scientist at Halliburton, Dr. Priyadarshy’s expertise in edge analytics and AI is shaping the future of energy industries, making operations safer, more efficient, and more sustainable.
Dr. Ebrahim Bushehri: CEO of Lime Microsystems, Dr. Bushehri is advancing the field of software-defined and programmable radios. These radios, combined with edge AI, have the potential to revolutionize communication networks.
Jared Wolff: An expert in IoT and edge computing, Wolff’s insights and tutorials on implementing edge AI in various devices have become valuable resources for developers and businesses keen on harnessing local data processing power.
Dr. Rabaey Jan M.: A professor at UC Berkeley, Dr. Rabaey’s work on designing circuits and algorithms for edge devices is enabling them to make intelligent decisions without relying on the cloud, enhancing speed and user experience.
