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Introduction

Date: Thursday, February 27, 2025
Time: 8:00 a.m. - 9:00 a.m. PT
Duration: 1 hour


Developing industrial AI solutions involves unique challenges, particularly in ensuring safety in combination with AI, handling high-speed sensor processing, and meeting enterprise-grade software requirements.


Functional safety is paramount, as industrial AI often operates in critical environments like manufacturing plants, surgical rooms, energy grids, and autonomous systems, where any malfunction could lead to catastrophic consequences. Ensuring compliance with existing and upcoming safety standards while maintaining AI performance is challenging.


High-speed sensor processing adds another layer of complexity, as industrial systems rely on real-time data from a myriad of sensors, requiring AI algorithms that can process and analyze vast varieties of sensor data with minimal latency to enable timely decision making.


Furthermore, industrial AI solutions must be designed as enterprise-grade software, capable of integrating seamlessly with existing systems, scaling across operations, and maintaining high availability, security, and resilience.


In this webinar, we’ll showcase why NVIDIA IGX™ is the industry-leading platform to build enterprise-ready, safe industrial AI solutions that deliver high-speed sensor processing at the edge.



In this webinar you will learn:
  • Discover real-world industrial AI applications in medical imaging, robotics, edge HPC processing, and more.
  • Understand how the world’s leading companies implement software and hardware AI solutions powered by the NVIDIA IGX platform at the industrial edge.
  • Learn the most recent developments in functional safety (IEC 61508) and AI functional safety (ISO/IEC TR 5469 and ISO/IEC TS 22440 series) standards from the direct voice of the convenor.
  • Explore the different ways in which AI can assist and complement functional safety.
  • Engage in a live Q&A session with NVIDIA experts.
  • Get a teaser of what we'll be discussing at GTC in March.

Webinar Registration

THANK YOU FOR REGISTERING FOR THE WEBINAR



You will receive an email with instructions on how to join the webinar shortly.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speakers

Riccardo Mariani IT
Head of Industry Safety, NVIDIA
Riccardo Mariani, head of industry safety at NVIDIA, is widely recognized as an expert in functional safety. He is responsible for driving safety alignment across NVIDIA automotive and embedded teams, including for industrial, robotics, and healthcare. Riccardo develops cohesive safety strategies and cross-segment safety processes, architecture, and products that can be used across NVIDIA AI-based hardware and software platforms. He has leadership positions in international standardization initiatives, such as co-convenor of IEC 61508, convenor and project editor of ISO/IEC TS 22440 series, project editor of ISO/IEC TR 5469, and subgroup lead of ISO/PAS 8800. He received the 2021 Ron Waxman DASC Meritorious Service Award and the IEC 1906 award.
Suhas Sheshadri
Product Manager, NVIDIA
Suhas Sheshadri is a product manager at NVIDIA, focusing on NVIDIA Jetson™ software. He previously worked with the autonomous driving team at NVIDIA, optimizing system software for the NVIDIA Drive™ platform. In his free time, Suhas likes to read books on quantum physics and game theory.
Chen Su
Senior Technical Product Marketing Manager, NVIDIA
Chen Su is a senior technical product marketing manager at NVIDIA. He is passionate about collaborating with cross-functional teams and growing businesses fueled by IoT, AI, robotics, and edge computing. Bringing clarity and creativity to cutting-edge technology and tools, he drove dynamic messaging and engagements to help global developers and partners achieve faster time to value and outcomes. Prior to that, Chen had over 10 years of work experience in research and development, product management, and pre-sales consulting in the industrial automation and enterprise software industries. Chen has an M.Sc. in engineering from the University of Pennsylvania and an MBA from the Berkeley Haas School of Business.
Leela Subramaniam Karumbunathan
Hardware Product Manager, NVIDIA
Leela Karumbunathan is a hardware product manager at NVIDIA, focusing on Jetson and autonomous machines. She has a history of working in the semiconductor industry in both engineering and product-related roles. She received a bachelor’s degree in electrical engineering from Johns Hopkins University.


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Date & Time: Wednesday, April 22, 2018