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- The Importance of Data for AI
Hello readers!
On this week’s podcast, Ryan speaks with Stan Schneider, CEO of Real-Time Innovations (RTI), about the importance of data in AI and the significance of sensor fusion in increasing data quality. We also touch on the complex challenges of software-defined systems and the transition to data-centric design.
Why You Won’t Want to Miss This
Discover the role of data flow and management in AI systems, especially in real-time applications like autonomous vehicles and medical systems.
Explore how Real-Time Innovations enables intelligent, distributed systems in diverse fields through advanced data-centric software frameworks.
Understand the importance of sensor fusion in AI, where multiple data sources enhance decision-making accuracy in complex, real-world environments.
Learn about the challenges and innovations in integrating AI with physical systems, emphasizing the need for fast, reliable data processing.
Gain insights into future developments in AI and data management, focusing on the impact on industries like healthcare, defense, and renewable energy.
Our Favorite Moment
“You're hearing, especially in the automotive industry, software-defined. You're hearing it everywhere. Software-defined vehicles, software-defined defense, software-defined automation. And really what that means is taking what used to be very much hardware and connecting them together and making them connect to an intelligence, an AI, so you can have a smarter system. It definitely makes these systems and the organizations that run them much superior to what they used to be.”
Key to Good Data: Sensor Fusion
Meet Stan Schneider
Stan Schneider is the CEO of Real-Time Innovations, 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.
Learn More About RTI
Real-Time Innovations 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.