Category: Artificial Intelligence

We’ve heard that companies must become data-driven. They must treat data as an asset, govern it, improve its quality, and make it easily available across the enterprise. Perhaps these pronouncements are becoming tiresome. But really they understate the change in how we regard data and compute and their relationship. IT has always overseen both data […]

AWS recently partnered with Harvard Business Review Analytic Services to understand the current state of agentic AI in organisations.1 The results were exciting and informative: While expectations are high, the path to value at scale has yet to be discovered. Outlined below is what we found creates the gap between appreciating AI’s importance and using […]

What if the real value of AI isn’t in replacing workers, but in accelerating the development of junior talent? This counterintuitive insight emerged from our recent conversation with Stephen Whitworth, co-founder and CEO of incident.io. The company provides an incident management platform to help engineering and operations teams coordinate outages, reduce downtime, and serve as […]

You’ve been thinking about digital transformation for years. Maybe you’re even somewhere down the path of transforming your organization. And now there is this AI thing that looks real, even if you were skeptical at first. Does this mean you need two transformations? And then another one when quantum computing comes around? Do you need […]

AI-driven changes in software development are increasing the velocity of software development teams. Organizational leaders under pressure to reduce costs may quickly move to take advantage of these productivity improvements by reducing developer headcount. But there is another possibility: Use the increased capacity to accomplish more technology goals. Let me explain the strong business case […]

Supply chain managers understand inventory reconciliation. Compliance officers know audit requirements. Marketing teams grasp campaign workflows. What if they could build their own enterprise applications directly from that expertise? This isn’t theoretical. Citizen development tools like Kiro replace traditional coding with natural language specification. Business users describe what they need in plain English, and Kiro […]

In my previous blog, I shared how to evolve leadership for agentic AI using familiar mental models. As a CTO, I’ve been thinking about the corresponding architectural shifts required: We need to move from building predictable systems to developing autonomous capabilities that augment teams. Based on hands-on explorations and working with fellow technology leaders navigating […]

A single supply chain disruption today can erase millions in revenue and years of carefully built customer trust. While most organizations struggle with the balance between lean operations and reliability, some companies have discovered a different path. These market leaders have replaced traditional buffer strategies with a more responsive, efficient way to manage supply chains. […]

AI agents are as transformative as the advent of the internet. They will change how we organize work, manage operations, and drive value A question I often hear from AWS customer executives is how they should think about leading in this new era. I use the same mental models I use to lead my most […]

As organizations deploy generative AI technologies, they face challenges including lack of expertise, fragmented governance, unclear accountability, and immature tooling—issues that can be addressed through an integrated framework of governance mechanisms, repeatable processes, and embedded safeguards.