AWS Cloud Enterprise Strategy Blog
Tag: Artificial Intelligence
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 […]
A guide to making your AI vision a reality
The headlines read “Artificial Intelligence (AI) will completely transform your business.” But does the hype match the reality? We have been seeing these exclamations for two decades, but where are the examples? Where are the success stories? Is AI really a game changer, and does it actually apply to my business? Every ten years it […]
Enterprise Strategy Blog 2021: Year-End Roundup
Overview Throughout the year, we write blog posts on whatever topics seem to be most important to the AWS customer executives we speak to. Each of us on the Enterprise Strategy team holds 100-200 customer meetings a year, generally at the most senior executive levels, to try to help with their challenges in digital transformation—cultural […]
Unlocking the Business Value of Machine Learning—With Organizational Learning
By Annina Neumann, AI/ML Strategist and Gregor Hohpe, Enterprise Strategist at AWS We routinely underestimate the effects that new technology has in the long run while also overestimating its impact in the short term. What has become known as Amara’s Law, in honor of the late researcher and scientist Roy Amara, is playing out now […]
Activating ML in the Enterprise: An Interview with Michelle Lee, VP of Amazon Machine Learning Solutions Labs
In the previous blog post I explored with Michelle K. Lee some of the societal impacts of artificial intelligence (AI) and machine learning (ML). In this post I dive into the patterns Michelle has seen organisations implement to take advantage of the promises of ML. ―Phil Some surveys show a gap between an understanding of […]
ML in Society: An Interview with Michelle Lee, VP of Amazon Machine Learning Solutions Labs
In my recent blog post I shared a perspective on how to start your exploration of artificial intelligence (AI) and its subset, machine learning (ML), as business tools. I wrote this as a technology practitioner but a student of ML. At the other end of the experience continuum, I have the privilege of working with […]
Making Artificial Intelligence Real
“We need to be an AI-enabled company.” Replace the “AI” with any technology from history and this comment becomes a common refrain across businesses lured by the promises of new technology and fuelled by FOMO (a fear of missing out). As enterprise strategists and former CXOs who have lived through many “technology is the solution, […]