Big signal for enterprise AI 👇 @AnthropicAI + @Infosys are moving AI agents straight into regulated industries: Telecom, financial services, compliance-heavy environments. It’s all about making AI operational with the latest proven practices. Why this matters: Enterprise AI adoption was never blocked by model quality. It was blocked by trust, governance, and execution. This partnership targets exactly that: • Industry-specific agents • Persistent multi-step automation (not chatbots) • Compliance-aware workflows • Integration into real enterprise operations In other words: Agents designed for where CIO risk tolerance actually lives. The real story? We’re watching the rise of the SI + frontier model alliance as the dominant enterprise AI delivery model. Models provide cognition. Global integrators provide trust, process, and accountability. That’s how AI crosses the chasm into regulated sectors. Expect more of this: AI vendors ≠ software sellers anymore. They’re becoming platform layers embedded via services ecosystems. 2026 is shaping up as the year agents go enterprise-grade, not by replacing systems, but by operating across them. Enterprise AI winners won’t just ship models. They’ll ship governed autonomy. Backstory: https://t.co/xdSWqcUkfV
The SaaS market, the App Store, even enterprise suites, as a set of discrete “apps” that we choose from is an increasingly outdated concept. Soon, it will be a profoundly irrelevant concept. AI will relentlessly dissolve apps into capabilities. Sure, 20-30% of them...
My latest research: The Great CIO Platform Reset: Why Agentic AI Is Forcing a 2026 Reckoning https://t.co/5nUzVNyJb8 Bottom line: AI agents are reshaping enterprise platform strategy.

#CIOChat Q4: Endgame: Is the future cloud-first, cloud-smart, or cloud-selective? What does your next-gen operating model look like across on-prem, edge, sovereign cloud, hyperscale? What strategic capability must CIOs rebuild, refactor, or pay down tech debt to make it work? https://t.co/eKYQWD41ZW

#CIOChat Q3: Data residency, sovereignty mandates, and geopolitical risk are rapidly reshaping architectural decisions right now. Are we entering a “sovereign stack” era? How are you balancing hyperscaler scale with regulatory exposure and enterprise control? https://t.co/VK5lLC7gA0

#CIOChat Q1: For a decade, “cloud-first” was treated as doctrine. With the “public” prefix unsaid. Are CIOs now quietly reassessing that orthodoxy? What signals (cost volatility, lock-in, latency, resilience, or control) made you question assumptions we once considered settled? https://t.co/Eecmzn4rTh
The 7 biggest S/4HANA migration hurdles — and how to overcome them https://t.co/6u9sHnY6rG My take: Many CIOs I speak w/ are accumulating SAP instances faster than they can combine/rationalize them. ERP industry needs to adapt to AI speed if it doesn’t want to...