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Why Businesses Are Struggling To Scale AI Agents

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AI agents are becoming increasingly powerful, but can businesses really trust them to operate autonomously? At World Summit AI in Amsterdam, I caught up with Bianca Vloon, Regional VP of Sales, Northern Europe at Collibra, to discuss the biggest challenges companies face as they move AI agents into production. Bianca shared how conversations with business leaders have changed dramatically over the past year. The focus has shifted towards practical implementation, scaling AI, managing costs and ensuring that autonomous agents operate safely and reliably. We explore two critical requirements for successful enterprise AI: Context: Giving AI agents access to the right business data, knowledge and policies so they can make informed decisions. Control: Ensuring organizations have visibility and oversight of their AI agents, including what information they can access and what actions they can take. As businesses deploy increasingly autonomous AI systems, getting this balance right will be essential. 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

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