Join STS AIChE for a lunch-time talk presented by Ingenero! The event will be centrally located in the east part of Houston at the Man Kind (11001 W Fairmont Pkwy, La Porte, TX 77571).
- 11:30AM - 12:30PM Technical talk
- 11:00AM - 1:00PM Networking (before and after)
Registration
- STS Members: $5
- Non-members: $10
- STS YP Members: Free
- STS Student Members: Free
About the Speaker - Sameer Thorat
Director – Process Analytics and Engineering, Americas Ingenero Inc., Houston, USA
Sameer Thorat brings over 20 years of process engineering expertise, with a strong focus on leveraging analytics and digitalization to drive process excellence and innovation. He has played a pivotal role in optimizing and troubleshooting complex manufacturing processes, particularly in petrochemical units. Through his extensive experience, Sameer has consistently applied advanced digital solutions to tackle challenging operational problems, helping process units achieve significant performance improvements.
Sameer holds a Bachelor’s degree in Chemical Engineering from the University of Mumbai, India, and continues to be at the forefront of digital transformation in the industry, guiding teams in applying cutting-edge technologies for sustained operational success.
Abstract
Successful Application of Applied AI in Manufacturing for Performance Improvement
As manufacturing landscapes evolve, the integration of Applied AI is revolutionizing operational strategies by delivering timely, actionable insights without overwhelming operations with data overload. This presentation explores the role of AI-driven solutions in transforming manufacturing performance, from process optimization and yield enhancement to energy efficiency and predictive maintenance. By leveraging Augmented Intelligence, Industry 4.0 technologies are reshaping decision-making processes, empowering managers, engineers, and operators to solve complex challenges that traditionally required years of experience. Real-world case studies will illustrate how machine learning, advanced analytics, and first-principles models are being tailored to meet the specific needs of manufacturing plants, driving improvements across upstream and downstream processes.
The discussion will tackle the challenges of applying AI in complex manufacturing environments and offer practical approaches to successfully navigate them. By combining domain expertise with cutting-edge AI techniques, companies can unlock powerful insights in real-time. This session will also showcase how hybrid AI models, integrated with MLOps practices, are enabling continuous performance improvements, and fostering smarter, more agile operations—ultimately boosting profitability and efficiency across the value chain.
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