Autonomous Systems leverage the power of deep reinforcement learning to enable new use cases for AI-powered process optimization.
During this webinar, Neal Analytics and Microsoft share information about how Autonomous Systems can be applied in multiple energy industry scenarios as well as the key concepts that make Autonomous Systems and the Project Bonsai platform great tools to bring AI from research to real-life use cases.
Autonomous Systems & Deep Reinforcement Learning
Real-life use cases for Autonomous systems
(note: this updated post was previously published in September 2020)
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Zach leads the Data Science and AI practice at Neal. In his role as director, Zach helps customers to develop strategies and models that weave data science and AI into core business practices. Since joining Neal in 2014, Zach has worked extensively in the areas of predictive modeling (supervised and unsupervised learning), analytics, and deep learning. Prior to joining Neal, Zach worked for eight years in the energy and high-tech manufacturing space spanning roles in research and development, product development, and strategy. Zach holds degrees in engineering and business from UC Berkeley and Georgia Tech.