Bernard Marr

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Most businesses are making the same mistake with AI agents that factories made with steam engines 200 years ago! During the Industrial Revolution, many factories simply installed steam engines into their existing processes and celebrated modest efficiency gains. The real breakthroughs came when businesses completely redesigned how their factories operated around the new technology. I think we're seeing exactly the same thing happening with AI today. At World Summit AI in Amsterdam, I caught up with Stijn Christiaens, Co-founder and Chief Data Citizen at Collibra, who shared some fascinating insights into what it takes to make AI agents successful. We discussed why simply plugging AI agents into existing processes will only get businesses so far. The bigger opportunity is to fundamentally rethink how we work, make decisions and deliver value. But there's a challenge. As organizations move towards increasingly autonomous AI agents, potentially with hundreds or thousands working together, two things become absolutely critical: 👉 Context: AI agents need access to the right business knowledge, data, policies and processes to make intelligent decisions. 👉 Control: Organizations need to know what their agents are doing, what information they can access and what actions they're allowed to take. Without these foundations, businesses risk creating highly automated systems that make mistakes at extraordinary speed. And that's certainly not my idea of progress! I believe the businesses that will benefit most from AI are those willing to rethink their processes from the ground up, while building the trust and governance needed to deploy AI confidently. And if you're interested in exploring these topics further, Collibra is hosting its AI Summit in London next week, on October 21. It's an opportunity to hear from industry leaders about governed context, AI agents and how to scale trustworthy enterprise AI. 🔗 Find out more and register here: https://www.collibra.com/events/collibra-ai-summit-london?utm_source=linkedin&utm_medium=organic-social&utm_campaign=EMEA-26-Q4-GEV-Collibra-AI-Summit-London #Sponsored #AgenticAI #AIAgents #ArtificialIntelligence #AIGovernance #Collibra

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🧠 As AI becomes more intelligent, could being human become our greatest advantage? We're entering an era where artificial intelligence can generate content, analyse information, solve problems and increasingly make decisions on our behalf. 🤖 But amid all this technological progress, there's something we shouldn't overlook: the human factor. Creativity, empathy, judgement, trust, leadership and the ability to connect with others remain essential to how organisations succeed. The real opportunity isn't simply to automate everything we possibly can. It's to understand where AI adds value, where humans make the difference and how the two can work together effectively. As AI becomes more capable, the organisations that succeed may not be those that replace the most people, but those that make the best use of human and artificial intelligence together. 🚀 The future of AI isn't just about technology. It's about people. What human quality do you think will become most valuable in an AI-powered world? 👇 #AI #ArtificialIntelligence #HumanFactor #FutureOfWork #HumanSkills #AILeadership #GenerativeAI #FutureSkills #DigitalTransformation #HumanCentredAI #FutureOfAI #Technology

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Everyone wants to scale AI agents. But how many businesses really know what their agents are doing? 🤖 This was one of the biggest questions coming up at World Summit AI in Amsterdam. I caught up with Bianca Vloon, Regional VP of Sales, Northern Europe at Collibra, to discuss what she's hearing from business and technology leaders. And something interesting is happening. A year ago, the conversations were largely about understanding what AI could do. Today, companies are much more focused on deploying AI into production, scaling it successfully and making sure they can actually trust it. As Bianca explained, two things are becoming increasingly important: 🔹 Context: AI agents need the right business knowledge, trustworthy data, policies and processes to make good decisions. 🔹 Control: Organizations need visibility into what their AI agents are doing, what information they can access and which actions they're allowed to take. And there's another important consideration: cost. Businesses need to balance speed, trust and governance while ensuring their AI investments deliver real value. I think this reflects a significant shift in the AI conversation. We're moving from experimenting with what the technology can do to figuring out how to make it work reliably across entire organizations. This is where Collibra is doing some really interesting work to close the context and control gap that enterprises struggle with. Their AI Command Center provides a centralized view of every agent, model and use case, governed with continuous trust signals, automated traceability and proactive risk prevention. A must for deploying AI at scale. https://www.collibra.com/products/ai-command-center #Sponsored #AgenticAI #AIAgents #ArtificialIntelligence #AIGovernance #Collibra