Agentic AI

Stop Automating Broken Work: The Hidden Integration Tax of Agentic AI

The next competitive advantage will not come from deploying more agents. It will come from removing the handoffs, duplicate data and obsolete decisions that agents would otherwise reproduce at machine speed. BY CARSTEN KRAUSE | CDO TIMES | OCTOBER 26, 2026 The most consequential AI question may be the one – See more –

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Ulta Agentic AI Case Study: Winning in the Agentic Era

In a revolutionary turn for retail, Ulta’s session at NRF 2026 highlights agentic commerce’s profound impact on consumer interactions. As AI agents dominate shopping interfaces, retailers must adapt by optimizing data and operational performance to avoid invisibility. Success hinges on trust, adaptability, and delivering what consumers genuinely need.

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Data Standardization, Quality & Governance: The Framework for Agentic AI Success

In the pursuit of agentic AI, organizations must prioritize a robust data foundation characterized by high-quality, standardized data and stringent governance. Without addressing data strategy fundamentals, businesses risk flawed decisions and compliance breaches. Those investing in data standardization and quality will empower AI agents to truly transform their operations, gaining a competitive edge.

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GenAI Agents – Who? (Are you really?)

The landscape of Generative AI is fraught with identity confusion and security challenges, particularly highlighted by DeepSeek’s recent GenAI LLMs. This complexity necessitates robust governance frameworks, integrating blockchain technologies and advanced authentication methods to ensure transparency, regulatory compliance, and ultimately trust in AI systems within critical sectors like finance. Wei In Is exploring this fascinating space in this article.

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