Listen Here: How to How AI Happens

Episode Summary

The application of AI technologies within industry is growing in popularity. It has the capacity to transform traditional industries while paving the way for innovation in a rapidly evolving landscape. In this episode, we are joined by Bryan DeBois, Director of Industrial AI at RoviSys, to discuss the realm of Industrial AI and its range of applications. RoviSys is a company that specializes in providing automation and information solutions to various industries. It focuses on developing solutions where technical expertise and vendor independence intersect. In our conversation, we discuss the concept of industrial AI, its applications, and how it differs from standard AI processes.

Episode Notes

Bryan discusses what constitutes industrial AI, its applications, and how it differs from standard AI processes. We explore the innovative process of deep reinforcement learning (DRL), replicating human expertise with machines, and the types of AI approaches available. Gain insights into the current trends and the future of generative AI, the existing gaps and opportunities, why  DRL is a game-changer and much more! Join us as we unpack the nuances of industrial AI, its vast potential, and how it is shaping the industries of tomorrow.

Key Points From This Episode:

  • Bryan’s professional background and his role in the company.
  • Unpack the concept of “industrial AI” and its various applications.
  • The current state and trends of AI in the industrial landscape.
  • Deep reinforcement learning (DRL) and how it applies to industrial AI.
  • Why deep RL is a game-changer for solving industrial problems.
  • Learn about autonomous AI, machine teaching, and explainable AI.
  • Discover the approach for replicating human expertise with machines.
  • Opportunities and challenges of using machine teaching techniques.
  • Differences between monolithic deep learning and standard deep learning.
  • His perspective on current trends and the future of generative AI. 

 

RoviSys Director of Industrial AI, Bryan DeBois joined the "How AI Happens" podcast to explore the latest innovations in industrial AI. In this insightful episode, Bryan discusses how advanced AI technologies are revolutionizing manufacturing by improving data analysis, decision-making, and overall operational efficiency. He delves into the evolution of AI on the plant floor, emphasizing the significant impact of deep reinforcement learning and machine teaching in optimizing processes and reducing waste.  

Bryan  provides a fascinating comparison between operational and knowledge types of problems, explaining how each requires different AI approaches. He highlights how operational problems, commonly found in manufacturing, are best addressed by Autonomous AI and deep reinforcement learning. In contrast, knowledge-based problems benefit more from generative AI and large language models like ChatGPT. This episode is a must-listen for anyone interested in the practical applications and future potential of industrial AI, offering valuable insights into how AI is shaping the future of industrial operations.