This week, we interviewed Bryan DeBois, director of Industrial AI at RoviSys. RoviSys is a global system integrator that applies the most effective methods for building, analyzing, improving, and maintaining complex autonomous systems.

In this episode, we talk about the concept of autonomous AI that integrates deep reinforcement learning based on machine data with machine teaching based on the main expertise and improvement through simulation. We also explored the industrial landscape broadly, including the cost structure, ROI targets, use cases, cloud strategy, and emerging technologies like GPT4.

Key Questions:

● What is autonomous AI?

● What is the status of industrial AI in the S-curve of artificial intelligence?

● What are the use cases that are fit for autonomous AI?

● What is the cost structure for autonomous AI?