The Pulse of mcube™ November 2025
Discover What’s New in mcube™
Discover What’s New in mcube™
This month, spotlight is on a webinar recently conducted in collaboration with our partner Linde Engineering. The session walked through how Linde’s AI Plant Control, powered by mcube™, helps plants learn, adapt, and optimize on their own in real time—going a step beyond traditional automation.
We’ve also included an interesting whitepaper on “Agentic AI for Airline Operations” followed by a useful Pro Tip on “Custom Bucket Ordering” to help you get more out of your dashboards.
Andreas Diggelmann
Chief Product Officer, TCG Digital
Spotlight: Webinar Replay: Optimizing yield and Reducing OPEX with AI-Plant Control
The webinar featuring Linde Engineering showcased how AI-based Plant Control (AIPC), powered by mcube™, is advancing industrial operations beyond traditional automation/MPC. Insights from actual plant deployments highlighted measurable improvements in yield and OPEX, and critical success factors for scaling AI-based control toward autonomous, self-optimizing plants.
Whitepaper: The Next Control Tower: Agentic AI for Airline Operations
mcube™ is redefining airline operations by moving beyond predictive AI to agentic AI—autonomous, real-time decision-making that acts on insights across disruptions, crew management, passenger connections, and maintenance. From auto-rebooking high-value passengers to dynamically adjusting crew rosters and optimizing turnaround, mcube™ enables airlines respond faster, reduce costs, and enhance passenger experience. With a structured, phased approach, agentic AI augments human judgment, builds operational resilience, and unlocks scalable efficiency across the airline ecosystem.
Pro Tip: BI - Custom Bucket Ordering
Enhance your analysis with the freedom to order data your way. This feature provides greater flexibility in how users organize and interpret their visualizations. While metrics and buckets can be defined as usual, users can now choose a separate field to determine the order in which buckets are displayed. This means the sorting criteria is not limited to the selected metrics, allowing for more nuanced analysis.
For instance, when analyzing sales performance by region (bucket) with total revenue as the metric, users can opt to order the regions based on customer satisfaction score. This helps reveal patterns that go beyond traditional sorting—such as identifying regions with strong customer satisfaction but moderate revenue, or vice versa—enabling more comprehensive, data-driven insights.
Watch the demo clip to see it in action
Resources & Support
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- tcgmcube.news@tcgdigital.com for assistance.