AI in Industrial Processes: Optimizing processes & reducing OPEX with AI-Plant Control to unlock hidden value!
Webinar
AI in Industrial Processes:
Optimizing processes & reducing OPEX with AI-Plant Control
November 18th | 10:00 - 10:45 AM CST
In this joint webinar, Linde and TCG Digital will explain how AIPC powered by mcube™ unlocks hidden value!
Why Attend:
See real-world AI powered plant control in action driving yield and uptime improvements
Understand how analytics, optimization, and automation work together for autonomous plants
Learn how real-time advanced applications boost operational profits
Discover how automation minimizes manual effort by optimizing asset performance
Meet our Speakers
Arunava Mitra
Senior Vice President, TCG Digital
Rajeev Limaye
Director, Head of Advanced Ops Services, Linde Engineering
Shreya Bhatia
Head of IT for Plant Operations, Linde Engineering
Daniel Neal
Advanced Operations Consultant, Linde Engineering
AOPS AI Plant Control (AIPC) is a closed-loop self-learning, model predictive control (MPC). With a deep learning model retraining built on TCG Digital’s mcube™ platform, AIPC model learns from the operating data and adapts without constant reconfiguration. Unlike traditional MPCs, AIPC excels in non-linear or large operational envelopes. In today’s climate, economic headwinds continue to drive organizations to do more with less and optimizing plant operations in real time reducing OPEX.
Our solution is a result of a strategic collaboration between:
Linde, a global leader in industrial gases and engineering, with 64,000+ employees and $33B in 2024 sales, operates 1000+ plants in 80+ countries from seven Remote Operation Centers located globally. Advanced automation software, AOPS IGNITE platform, developed in-house by Linde over 30+ years and operating in 300+ plants has made it possible to run these plants in autonomous mode. AIPC, part of the AOPS IGNITE suite is commercially available.
mcube™, the enterprise and Agentic AI platform by TCG Digital delivers real time intelligence and optimization that continuously enhance process performance, leveraging process digital twins and optimizers to simulate, predict, and fine-tune outcomes. Built to be enterprise-ready and scalable, the platform ensures seamless integration across plant systems and global sites, while maintaining the highest IT security standards.