Join industry leaders at IoT World and AI Summit Austin for insights into the world of IoT and artificial intelligence. Explore the future today!
About this event
IoT World & The AI Summit Austin is THE place to learn and discover how to achieve successful IoT, AI (and even Quantum Computing) implementations for your customers or your organization.
With a jam-packed conference program, a curated collection of vertical and technology-specific stages, the Quantum Computing Summit, and a free-to-visit expo, our Austin show will be one to remember. You’ll walk away with the tools you need to future-proof your tech career, and be part of a movement for positive change in the digital world.
Plus, after a busy day connecting, learning, and doing business, there is nothing anyone needs more than to let loose – not all deals are done in the boardroom after all! – so you’re also invited to join us at Austin After Hours.
- What: IoT World & The AI Summit Austin
- When: November 2 – 3, 2022
- Where: Austin Convention Center, 500 E Cesar Chavez St, Austin, TX 78701, United States
Hosted with friends from across AI and IoT space, as well as those in Quantum Computing, there is no better place to mingle with the leaders at the heart of transformational tech.
Topics include
Advanced Manufacturing and more…
Agenda
Day 1: Dissecting the Value of AI and Applications for Businesses
Panel Discussion
Panelists:
- Ilya Katsov, VP of Technology – Grid Dynamics
- Jason Shepherd, Former VP, Ecosystem – ZEDEDA
- Sai Nikhilesh Kasturi, Data Scientist – American Airlines
- Mark Rolston, Founder & Chief Creative – argodesign
- Matt Sanchez, Founder and Chief Technology Officer – CognitiveScale
Day 2: Building an End-to-End AI/ML Platform for Smart Manufacturing: Pitfalls and Best Practices
Ilya Katsov, VP of Technology at Grid Dynamics
Abstract:
Artificial Intelligence/Machine Learning solutions for manufacturing, such as predictive maintenance, visual quality inspection and dynamic equipment control, are big enough challenges. Yet many manufacturers add to that complexity with a patchwork approach of multiple technologies to solve different problems. A powerful infrastructure for data and model management can simplify those technologies with edge and cloud components that enable data collection, processing and labeling; model development tools and environments; and model management, deployment, serving and monitoring. The speaker will also share best practices and common pitfalls. Attendees will learn:
- How to plan the development of AI/MI platforms for smart manufacturing
- How to design complex solutions that involves edge and cloud components
- How to manage sensor and image data collection in complex environments with multiple suppliers
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