AWS Cloud Enterprise Strategy Blog

Phil Le-Brun

Author: Phil Le-Brun

Phil Le-Brun is an Enterprise Strategist and Evangelist at Amazon Web Services (AWS). In this role, Phil works with enterprise executives to share experiences and strategies for how the cloud can help them increase speed and agility while devoting more of their resources to their customers. Prior to joining AWS, Phil held multiple senior technology leadership roles at McDonald’s Corporation. Phil has a BEng in Electronic and Electrical Engineering, a Masters in Business Administration, and an MSc in Systems Thinking in Practice.

Data and Generative AI: A Window into Your Organisation’s Soul?

For the third consecutive year, HBR Analytics Services has researched contemporary data use, focusing on its applicability to generative AI. The report—“Scaling Generative AI for Value: Data Leader Agenda for 2025”—spans multiple industries and companies globally. It’s time as conversations have noticeably pivoted from abstract use cases and generative AI pilots to a desire to […]

Development Productivity in the Age of Generative AI

“Productivity is being able to do things that you were never able to do before.” —anon With generative AI grabbing almost every organisation’s attention, watching how they use the technology is interesting. Today most AWS customers are focused on achieving productivity gains (e.g., making information easier to acquire and digest for customer service staff). A […]

Aligned team

Untangling Your Organisational Hairball: Highly Aligned

All organisations are perfectly aligned to get the results they get. —Stephen R. Covey, Educator and Author My first blog post on untangling your organisational hairball describes six focus areas to increase organisational agility. The first is to be highly aligned. As the Cheshire Cat remarked in Alice’s Adventures in Wonderland, “If you don’t know […]

Untangling Your Organisational Hairball: A Framework

You show me a successful complex system, and I will show you a system that has evolved through trial and error. —Tim Harford, Economist Read any contemporary article on organisations and within the first few sentences the word, “agile” appears at least once. Some articles suggest achieving agility with a new target operating model (TOM), […]

Top of Mind

What’s top of mind for Chief Data Officers going into 2024?

One year ago we published our first research report on the role of Chief Data Officers (CDOs). The renowned Tom Davenport, in partnership with MIT Chief Data Officer and Information Quality Symposium (CDOIQ), was commissioned to conduct a global study of CDOs across industries, tenures, and stages of the data journey. At the time I […]

Wasting Time

Codus Interruptus: Stop Wasting Time

Never waste your time; it is too precious. There are never any guarantees we will have tomorrow. —Catherine Pulsifer, Author “I don’t have enough (fill in the blank)” is a common refrain in the face of new demands. It’s normally followed by that much-loved phrase “We need to prioritise.” I’ve observed that the challenge is […]

Birds breaking free

Tenets: supercharging decision-making

“Once you make a decision, the universe conspires to make it happen.” – Ralph Waldo Emerson, essayist & philosopher Thinking is hard; energy intensive even. Perhaps that’s the reason we obsess about food. One estimate indicates we make over 200 food-related decisions a day. Another popular internet statistic boldly states that the average human makes […]

Gen AI

How Technology Leaders Can Prepare for Generative AI

We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run. —Roy Amara, Amara’s law I’m fascinated by the technological tipping points in history that have ignited the public’s imagination—the first TV broadcast, manned space flight, or video conference. Each of these events made a […]