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This is a two-part article series on Agentic AI Interaction Protocols that is an often-overlooked foundation required to safely deploy autonomous AI systems in enterprises. Article 1 focuses on what agentic AI interaction protocols are, why they matter, and who should care about them. It explains why autonomy without structure creates operational, regulatory, and governance […]...

Artificial Intelligence is no longer emerging — it is operating It is shaping decisions, redefining customer experiences, automating judgement, influencing behaviour, and re-architecting industries at a scale never seen before. The shift from traditional automation to Generative AI, and now to Agentic AI, is not simply a technology upgrade. It is a structural transformation of […]...

The Paradox Organizations Face If you’re leading digital transformation, you’ve probably encountered a familiar frustration: the road to successful AI is blocked not by technology, but by your organization’s data landscape. Data is often trapped in legacy systems, scattered across silos, inconsistently named, and poorly documented. The irony is clear that a company may aspire […]...

The evolution to Agentic AI for value realization The automation technology landscape has evolved from rule-based automation to machine learning to generative AI to agentic AI. Agentic AI has emerged as one of the frontier technologies that can help enterprises to achieve breakthroughs and realize value across the organizational value chain. As we move from […]...

Bringing AI and data governance together helps you move fast, stay compliant, and actually get the value you expect from AI. Organizations are adapting AI at a rapid pace and there are high expectations at the board level and C-level of reaping significant value through these AI initiatives. We are moving at a frantic pace from deploying machine learning (ML)-based solutions to generative AI to AI agents. Industry pioneers are driving the race toward artificial general intelligence (AGI) and ar...