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The Pulse of mcube™ April 2025

April 2025 Edition

April 7, 2025
The Pulse of mcubeTM
Discover What’s New in mcubeTM
Apr 2025 Edition
Set the Stage for Autonomous Intelligence with mcube 5.2

This month was all about the launch of mcube 5.2—a bold step forward in enabling autonomous intelligence for enterprises. Streamed live on LinkedIn, the event showcased how the latest release will power decision intelligence, operational autonomy, and domain-contextual AI across the enterprise. The advanced AI orchestration layer of mcube 5.2 enables systems to reason, adapt, and act autonomously. From semantic modeling to seamless data integration, enterprises like Linde are driving real outcomes through intelligent automation.

The discussion was around key capabilities that are set to shape the future of intelligent operations and scale AI-driven impact with greater confidence.

Here’s a quick snapshot of what we covered:
  • Agentic AI
  • Autonomous Plants
  • Ontologies & Semantics
  • Cloud-Native Data Integration
In the sections that follow, we’ll take a closer look at each of the capabilities discussed during the launch.
Andreas Diggelmann
Chief Product Officer, TCG Digital

Spotlight: Key Capabilities of mcube 5.2

Enabling Linde’s Autonomous Plants, Driving EBIT Growth

Global tariffs, volatile input costs, and shifting demand dynamics are squeezing margins, putting intense pressure on process manufacturers to deliver stronger EBIT. It’s no longer just about driving efficiency—it’s about creating self-optimizing operations. Linde is driving the shift toward autonomous, self-optimizing operations with real-time, AI-enabled closed-loop automation—powered by mcube 5.2 from TCG Digital.

This intelligent system empowers plants to self-optimize—continuously adapting and aligning operations to maximize EBIT.

Advanced Agentic AI: Multi-Agent Collaboration, Goal-Driven Workflows, Strong Compliance

mcube 5.2 advances Agentic AI with plug-and-play, LLM integration, enhanced AI orchestration for multi-agent collaboration, and context-aware decision-making using ontologies. Within mcube, AI agents take on specialized roles—some retrieve and analyze data, others generate insights or execute actions. These agents collaborate dynamically, adapting their decisions in real time based on evolving data and business context.

mcube enables flexible, goal-driven workflows, where multiple models handle specific tasks like anomaly detection or report generation. Strong governance and compliance features ensure that these intelligent agent workflows remain secure, transparent, and enterprise-ready.

Ontologies and Semantics for Intelligent, Adaptive Workflows

mcube 5.2 leverages advanced semantic technologies—because it’s how we go from standard automation to truly intelligent, adaptive workflows that drive real business value. This ensures explainable, auditable decisions—critical for regulated industries—and provides transparency, scalability, and flexibility, adapting seamlessly to new data, compliance rules, and evolving business needs.

Cloud-Native Data Integration for Accurate, Low-Latency, Adaptive AI

mcube 5.2 seamlessly integrates data, contextualization, and AI to enhance enterprise AI capabilities. Its cloud-native architecture supports no-code data engineering, real-time event data integration, and scalable resource management. This ensures AI agents receive accurate, low-latency data to make autonomous decisions and adapt to changing conditions.

Pro Tip: Enhancing Data Governance with Granular Access Control

mcube offers precise data-level authorization, enabling organizations to go beyond basic roles and implement highly granular control over data access at the dataset level. This includes the ability to define column-level security by selecting which fields are visible and row-level security by setting conditions to filter data. By implementing these fine-grained controls, organizations can ensure that different teams and users have a customized and secure view of the data they need, fostering secure collaboration and maintaining data privacy. This advanced approach allows for tailoring data access to specific requirements, enhancing overall data governance.

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Stay tuned for next month’s edition where we explore more powerful features and customer stories. Until then, keep leveraging the power of AI with mcube™!