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!
Industrial operations are entering a new phase, where control systems not only respond but learn, adapt, and optimize in real time. Traditional Model Predictive Control (MPC) has reached its limits in handling today’s process variability and complexity. The next step forward is AI-Based Plant Control (AIPC) — a proven approach delivering measurable gains in reliability, yield, and OPEX.
Join Linde Engineering and TCG Digital for an executive discussion on how industry leaders are using AOPS™ AIPC powered by mcube™ to build autonomous, self-optimizing plants. The session includes a real-world case study—from implementation challenges to measurable results—and the success factors behind scaling AI-based control.
Why Attend:
Highlights
AI-Based Plant Control vs. Conventional MPC: What changes, what improves, and how to identify the right fit for your operations.
Real-World Implementation: Insights from an AOPS™ AIPC deployment, including its impact on yield, effort optimization, and OPEX reduction.
Scaling Intelligence: The critical success factors (CSFs) that determine sustainable business value.
Performance Connection: How AI-based control links directly to reliability, efficiency, and EBIT improvement.
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.