AWS Executive in Residence Blog

Category: Enterprise Strategy

Data Centricity

True Data-Centricity

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 […]

Data Foundations

Agentic AI: Bridging the Widening Gap Between Ambition and Execution

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 […]

Growth

Moving from Efficiency to Growth: How Junior Talent Outpaces Tenure with AI

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 […]

Value

Measuring the Impact of AI Assistants on Software Development

  “The speed of typing out code has never ever been the bottleneck for software development (not since keyboards became widespread from the 60s or 70s)” —Gergely Orosz Software development is a complex value delivery system involving many interdependent roles, including developers, product managers, and platform engineers. Dependencies create potential bottlenecks, such as pull request […]

From Tools to Teammates: CTO’s Guide to Evolving Architecture for Agentic AI

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 […]

Supply Chain Resilience

Leveraging AI and Cloud for Supply Chain Resilience

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. […]

Why 2025 is the Inflection Point for AWS Cloud Migration

Fortune 500 CEOs face a choice in 2025: Migrate to the cloud now and capture its powerful advantages or watch competitors build their leads while you continue with legacy infrastructure. That might sound dramatic, but several converging forces make now the right moment to move to the cloud if you haven’t already done so. In […]

Agentic AI

From Automation to Agency: Leading in the Era of Agentic AI

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 […]

MC

Proven Practices for Succeeding with a Multicloud Strategy

As an Enterprise Strategist, I’ve noticed that discussions about multicloud are often marked by confusion and contradictory advice. Some advisers warn against adopting a multicloud strategy, while others suggest that you will miss an industry-wide transformation if you don’t. There are legitimate reasons for and against multicloud strategies; success depends on balancing potential business value […]

Responsible AI: From Principles to Production

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.