5 critical factors CIOs should know about platform engineering: What sets winners and losers apart

Platform engineering has reached a critical juncture. The discipline has evolved from an emerging trend to an enterprise operating system, fundamentally reshaping how organizations deliver applications. Platform engineering is “eating the world”—absorbing traditional silos like operations, observability, security, data, and FinOps into unified paradigms. Yet this transformation carries significant risk: execution matters more than ever.…

AI is helping the utility sector keep the lights on

Organizations in the utility sector are facing a once-in-a-generation challenge. Demand for power is rising rapidly as AI–driven data centers, crypto mining, and electrification place new loads on the grid. At the same time, weather-related disruptions are becoming more frequent and severe, increasing uncertainty across infrastructures that were not designed for this level of volatility.…

AI in 2026: Why enterprises can’t afford to wait for regulatory certainty

The recent executive order issued by the White House aimed at establishing a single national framework for artificial intelligence has reignited debate about how — and how quickly — AI should be governed in the United States. The order directs the federal government to push back on what it characterizes as overly burdensome state-level AI…

Anthropic integrates third‑party apps into Claude, reshaping enterprise AI workflows

Anthropic has added a new capability inside its generative AI-based chatbot Claude that will allow users to directly access applications inside the Claude interface. The new capability, termed as interactive apps, is based on a new extension — MCP Apps — of the open source Model Context Protocol (MCP). MCP Apps, first proposed in November…

Restrictive H‑1B policies drive tech talent back to India, reshaping global IT

US enterprises are experiencing a fundamental reversal in global technology talent flows as restrictive H-1B visa policies and India’s rapidly maturing tech ecosystem combine to redirect skilled professionals away from US careers, threatening American competitiveness while accelerating India’s emergence as a global innovation hub. Workforce data from LinkedIn’s Labor Market Report released this month showed…

Enterprise AI and the semantic core: Building an OS for knowledge

For two decades, enterprise transformation has followed a familiar sequence: digitize, automate, optimize. Each phase built upon the last. Digitization gave us data. Automation let software do what people used to. Optimization layered on analytics and ML to make sense of the flood. Each wave built on the last, but none of them solved a…

Developer experience is a blueprint for enterprise productivity

Leaders are heavily investing in helping their teams become more productive. Yet very few can explain what’s actually slowing them down. The quest for improved enterprise productivity typically includes purchasing productivity tools, updating operating models, hiring consultants and, of course, AI. Despite the investment, the problem remains unsolved and it’s felt from the boardroom to…

10 ways to grow as an IT leader in 2026

Demands on IT executives are running high, with expectations that they’ll drive AI-fueled transformation, navigate changing economic and geopolitical conditions, calm nervous workers, and deliver wins in what multiple pundits have labeled a VUCA environment — a military term for volatility, uncertainty, complexity, and ambiguity. Such conditions put leadership skills to the test, so it’s…

Why copilots fail BI — and why multi-agent AI is the real future for BI

When I speak with analytics leaders, one theme always surfaces: “We have dashboards everywhere, but too often we can’t tell why something happened.” This sentiment reflects the biggest challenge in modern data strategy. In this environment, mere visibility is no longer a strategic differentiator. Leaders don’t need nicer dashboards or deeper drill-throughs; they need fast,…

CIOs must reclaim agency over our AI future

There is a dangerous disconnect between the people creating AI products and services and those who will be using them. I have seen little or no evidence that the executive teams at leading AI firms care much about CIOs and their 2026 agendas. CIOs are on the sidelines — actually, they aren’t even in the…