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Jan 2024
21m 48s

The Importance of Data for AI | RTI's St...

AI For All
About this episode

In this episode of the AI For All Podcast, Stan Schneider, CEO of Real-Time Innovations, joins Ryan Chacon to discuss the importance of data in AI. Stan shares how his company works with real-world systems, touching on the complex challenges of software-defined systems and the transition to data-centric design. He also details a range of innovative projects, from autonomous vehicles to medical systems and renewable energy. In addition, Stan emphasizes the significance of sensor fusion in increasing data quality. Stan is the CEO of Real-Time Innovations (RTI), the world’s largest software framework provider for autonomous systems. RTI software runs over 2,000 designs including the largest power plants in North America, the Canadian Air Traffic Control system, NASA's launch control system, nearly all Navy ships, GE HealthCare's hospital device networks, Siemens wind turbine farms, trains and metro control systems, and over 250 autonomous vehicle designs. Stan holds a Ph.D. from Stanford in Electrical Engineering and Computer Science with a focus on autonomous systems. Real-Time Innovations (RTI) is the largest software framework company for autonomous systems. RTI Connext® is the world's leading architecture for developing intelligent distributed systems. Uniquely, Connext shares data directly, connecting AI algorithms to real-time networks of devices to build autonomous systems. Discover more about data and AI at https://ai-forall.com More about RTI: https://www.rti.com/en/ Connect with Stan: https://www.linkedin.com/in/stan-schneider-102466/ (00:00) Intro (00:25) Stan Schneider and RTI (02:18) What is a software framework provider? (04:38) Importance of data in AI (08:34) Challenges in data collection and quality (12:28) Transition to software-defined systems (13:58) Evaluating data quality in real world systems (16:00) Challenges and benefits of software-defined systems (18:43) Industries benefiting from software-defined approach (19:36) Learning from autonomous vehicles (20:49) Learn more and follow up Subscribe on YouTube: https://bit.ly/43dYQV9 Listen to the Podcast: https://bit.ly/45rewGf Join Our Newsletter: https://newsletter.ai-forall.com Follow Us on Social: https://linktr.ee/aiforallofficial

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