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When AI Agents Tell You What You Want to Hear: The Sycophancy Problem

The rise of multi-agent AI systems promises to transform industrial decision-making. Companies are deploying teams

Will You Trust IT, HR, or Sales to Run Your Plant or Factory?

Why Generic Corporate Agents Can't Replace Professional Engineering Intelligence Would you let your IT help

The AI Team Member: How Generative AI Use Is Evolving and Why Leaders Must Prepare

Sam Altman, CEO of OpenAI, recently shared compelling insights about how different generations use ChatGPT

XMPro CEO Discusses Multi-Agent Generative Systems in the Latest Industrial AI Podcast

We’re pleased to share a new episode of The Industrial AI Podcast, which features a

Digital Twins: The Essential Foundation for Trustworthy Industrial AI Agents

Many industrial organizations are rushing to implement AI agent technologies to address pressing operational challenges.

Beyond AI Horseless Carriages: Why Multi-Agent Systems Demand New Thinking

Most industrial companies are building AI horseless carriages. They're taking traditional automation, bolting on Large

The Ten Questions Engineering Executives Need to Ask When Considering Agentic AI for Operations

In today's fast-evolving technology landscape, Agentic AI offers exciting possibilities for transforming industrial operations. These

The Digital Transformation Paradox: Bridging the Maturity Gap in Industrial Manufacturing

Industrial manufacturing companies invest $1.1 trillion annually in digital transformation, yet 64% remain in early

XMPro MAGS vs. Research Agents: Enterprise-Grade Industrial AI vs. On-Demand Knowledge Work

Introduction The AI agent landscape is rapidly evolving, but with important distinctions emerging between different

Beyond the AI Hype Cycle: Mapping the Inevitable Evolution and Value of Networked Industrial Intelligence

In a recent video titled "ChatGPT was just the 'Lightbulb' Moment for AI," tech philosopher

Separation of Control in XMPro MAGS: Why It Can Be Trusted

This limitation is by deliberate design. The Agent Memory Cycle can think about taking actions,