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Physical AI raises governance questions for autonomous systems

ai, AI (Artificial Intelligence), Artificial Intelligence, governance, Governance, Regulation & Policy, manufacturing, Manufacturing & Engineering AI, Multimodal AI, physical ai, TechEx Events

Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-world systems. Industrial robotics already provides a large base for that discussion. […]

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Companies expand AI adoption while keeping control

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, autonomous, Features, Finance, Finance AI, governance, Governance, Regulation & Policy, TechEx Events

Many companies are taking a slower, more controlled approach to autonomous systems as AI adoption grows. Rather than deploying systems that act on their own, they are focusing on tools that assist human decision-making while keeping tight control over outputs. This approach is especially clear in sectors where errors carry real financial or legal risk.

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IBM: How robust AI governance protects enterprise margins

ai, AI (Artificial Intelligence), AI Business Strategy, AI Market Trends, anthropic, Artificial Intelligence, cybersecurity, Cybersecurity AI, data, Data Engineering & MLOps, Deep Dives, enterprise, Featured News, Features, foundation models, governance, Governance, Regulation & Policy, ibm, infrastructure, Infrastructure & Hardware, Inside AI, Open Source, Open-Source & Democratised AI, Opinion, risk management, strategy, TechEx Events, Trust, Bias & Fairness, World of Work

To protect enterprise margins, business leaders must invest in robust AI governance to securely manage AI infrastructure. When evaluating enterprise software adoption, a recurring pattern dictates how technology matures across industries. As Rob Thomas, SVP and CCO at IBM, recently outlined, software typically graduates from a standalone product to a platform, and then from a

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As AI agents take on more tasks, governance becomes a priority

agentic ai, ai, AI (Artificial Intelligence), AI Business Strategy, AI Governance, AI in Action, Artificial Intelligence, autonomous agents, Compliance, Features, Governance, Regulation & Policy, TechEx Events

AI systems are starting to move beyond simple responses. In many organisations, AI agents are now being tested to plan tasks, make decisions, and carry out actions with limited human input. It is no longer just about whether a model gives the right answer. It is about what happens when that model is allowed to

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Experian uncovers fraud paradox in financial services’ AI adoption

agentic AI fraud, agentic AI risks, ai, AI (Artificial Intelligence), AI fraud 2026, AI fraud detection, AI Governance, Artificial Intelligence, Cybersecurity AI, EU AI Act, Experian, Finance AI, financial services AI, fraud prevention, TechEx Events

The same technology that financial institutions deploying is being weaponised against them. That is the core tension running through Experian’s 2026 Future of Fraud Forecast, and it’s a tension the company is in a position to name because it sits on both sides of it. According to FTC data cited in the forecast, consumers lost

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Autonomous AI systems depend on data governance

ai, AI (Artificial Intelligence), Artificial Intelligence, automation, Data Engineering & MLOps, data governance, Governance, Regulation & Policy, Intelligent Automation, TechEx Events

Much of the current focus on AI safety has centred on models – how they are trained and monitored. But as systems become more autonomous, attention is changing toward the data those systems depend on. If the data feeding an AI system is fragmented, outdated, or lacks oversight, the system’s behaviour can become more unpredictable.

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DeepL’s Borderless Business report reveals 83% of enterprises are still behind on language AI

agentic ai, ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, Enterprise AI, Inside AI, language AI, multilingual workflows, TechEx Events

AI is everywhere in the enterprise. The translation workflow often is not. That is the core finding of DeepL’s 2026 Language AI report, “Borderless Business: Transforming Translation in the Age of AI,” published on March 10. Despite broad AI investment across business functions, the report reveals that language and multilingual operations–workflows that touch sales, legal, customer support, and

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SS&C Blue Prism: On the journey from RPA to agentic automation

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For organizations who are still wedded to the rules and structures of robotic process automation (RPA), then considering agentic AI as the next step for automation may be faintly terrifying. SS&C Blue Prism, however, is here to help, taking customers on the journey from RPA to agentic automation at a pace with which they’re comfortable.

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AI Expo 2026 Day 2: Moving experimental pilots to AI production

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The second day of the co-located AI & Big Data Expo and Digital Transformation Week in London showed a market in a clear transition. Early excitement over generative models is fading. Enterprise leaders now face the friction of fitting these tools into current stacks. Day two sessions focused less on large language models and more

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AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise

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While the prospect of AI acting as a digital co-worker dominated the day one agenda at the co-located AI & Big Data Expo and Intelligent Automation Conference, the technical sessions focused on the infrastructure to make it work. A primary topic on the exhibition floor was the progression from passive automation to “agentic” systems. These

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