Designed for AI professionals pushing compute and intelligence to the sources of data, the Edge AI track is a one-stop shop for all things distributed and embedded.
Tackling performance, efficiency, and cost trade-offs at the application, model, and hardware layers, this track is for the pioneers driving the art of small AI forward.
How Will You Benefit?
See first-hand how product managers and embedded engineers are infusing devices with AI.
Take home best-in-class optimization techniques that will help you squeeze the most performance out of your compute resources.
Map out how the inference market is developing, and see how realtime AI serving will be delivered to end users across the globe.
Benefit from our unique blend of server-focused and edge-focused attendees who have been attending since 2018!
Meet the engineers doing the most with the least.
Learn where Edge AI delivers bang for its buck, from a brain trust of world-class engineers and developers pushing the boundaries of AI development.
Agenda Highlights:
- Edge AI Enterprise Use Cases: Real world deployments and results from Edge AI use cases in industries such as manufacturing, healthcare, retail, automotive, and security/surveillance.
- On-Device AI: Deploying multimodal LLMs on devices, trade-offs in accuracy, performance and adaptability in embedded AI…
- Cloud-Edge Infra: The development of the real-time inference market, reducing cost with hybrid computing, integrating edge AI into the IoT.
- Edge Hardware: Balancing performance and efficiency in realtime systems, optimizing memory for embedded AI accelerators, overcoming hardware integration and interoperability challenges…
Confirmed Edge AI Speakers Include:
Bala Chidambaram
AK Karan
A.K. Karan is the VP of advanced engineering & innovation at Baxter International, a leading medical device supplier. Karan joined Baxter in 2021 and currently leads the strategy for the company’s automation, digital-transformation, and operational-excellence processes. Prior to joining Baxter, Karan held a variety of leadership roles spanning engineering, operations and digital transformation.
David Hinkler
Eliana Stefani
Eliana Stefani, PhD is a Staff Autonomy & AI Research Engineer at Lockheed Martin, with expertise in autonomous systems, AI, and robotics. She has experience architecting solutions to complex problems, leading teams across engineering disciplines, and deploying artificially intelligent systems to the edge.
As Principal Investigator, she architected the autonomy stack and developed novel autonomous driving software for the Lunar Terrain Vehicle, enabling a rover to navigate dynamic obstacles while traversing unmapped environments; garnering interest from additional customers.
As Program Manager and later Chief Engineer, she architected system design, led a multi-disciplinary engineering team from research concept to successful test events, guided the program to a contract win, and interfaced with customers and stakeholders.
Dr. Stefani's strong track record of delivering high-impact results and driving program success has been recognized with multiple awards from within Lockheed Martin. She has presented at conferences including NVIDIA's GTC-DC and Amazon's re:MARS.
Sean Ma
As Head of Applied AI Research at Amazon Dash Cart, Sean Ma leads the AIML science organization (multiple science and software teams) advancing computer vision, artificial intelligence, and machine learning. Sean has a PhD in Electrical and Computer Engineering focusing on image and video understanding using AI from the University of Illinois, and also holds an innovation leadership certification from MIT, plus a certification of software program/project management and certification for Scrum Product Owner.
Sean has built, led, and managed globally distributed teams of researchers and engineers, delivered proof-of-concepts and production solutions, and won multiple awards and patents.
Prashanth Chakravartula
Expect to meet:
• Chief Technology Officer
• VP Engineering
• Head of Autonomy
• Head of AI
• Head of Robotics
• Head of Innovation
• Head of Industry 4.0
• Product Manager
• Embedded Engineer
• Computer Vision Engineer
• Edge AI Architect
• Data Scientist