WEBINAR SERIES

Demystifying AI

Become an Industrial AI Subject Matter Expert

In today's fast-paced industrial processing landscape, staying ahead means embracing and running with new technologies. Understanding the nuances of AI could be a game-changer for both your organization’s performance and your career in industrial processing.

Imubit is pleased to offer these webinars as a 3-course series designed to help professionals in the process industries better understand the theoretical concepts behind modern AI frameworks and their industry applications. As an engineer or operator, learning about the latest advancements in AI, such as Reinforcement Learning (RL), and how to harness it can provide job security as you leverage it to improve operational outcomes for your plant. 

Webinar Offerings

Find the full Demystifying AI webinar series below.
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ON DEMAND WEBINAR  |  SESSION 101: Demystifying AI in Industrial Processing

From Mainstream Approaches to State-of-the-Art

Delve into the world of AI and learn how the different frameworks can be used to revolutionize the way you optimize plant operations. Tailored for process professionals, this session explains the full spectrum of AI complexity, from supervised to reinforcement learning, and how you can harness AI for dynamic decision-making, real-time plant control, and advanced what-if simulations. Learn how to match plant problems with the correct AI framework to start unlocking value for your business.

ON DEMAND WEBINAR  |  SESSION 102: Demystifying AI in Industrial Processing

From First Principles to Foundation Neural Networks and Everything in Between

The application of AI in process optimization began with leveraging 1st principle models in the framework of supervised  learning. Over the past decade, more powerful AI models and frameworks have emerged, most notably end-to-end neural network models and the framework of Reinforcement Learning. Learn how advancements in AI are overcoming the limitations of 1st principles and tackling the most complex challenges in industrial processes.

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ON DEMAND WEBINAR  |  SESSION 103: Demystifying AI in Industrial Processing

A Taxonomy of Process Control & Optimization from Model Predictive Control to Reinforcement Learning

The modern AI framework of Reinforcement Learning (RL) has expanded the potential of how AI can be used in industrial operations to include closed loop control and optimization. This episode dives deep into the application of RL in closed loop control and the pros and cons of RL compared to traditional Model Predictive Control (MPC) techniques. Learn how to decide which approach is best for your process optimization scenario.

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Meet Your Professor

All sessions are presented by Prof. Nadav Cohen, the Chief Technology Officer & Co-Founder of Imubit. Nadav is a world-renowned expert in the mathematical foundations of AI and the scientific mind behind Imubit's Optimizing Brain – a leader in AI Optimization (AIO) of complex industrial processes. Nadav has over two decades of experience combining foundational AI research with pioneering industrial applications.  His contributions have won him various honors and awards, including the prestigious European Research Council grant and the Google Doctoral Fellowship in Machine Learning.