AWS Cloud Enterprise Strategy Blog
Tag: Machine Learning
Navigating the Generative AI Landscape: A Strategic Blueprint for CEOs and CIOs
Generative AI demands a pragmatic strategy to identify value, embrace agility, scale intelligently, experiment rapidly, and prioritize responsible deployment.
Generative AI: Getting Proofs-of-Concept to Production
When facing a game-changing technology like generative AI, experimenting is a great way to learn what it can do and how to use it. And indeed, we at AWS see plenty of companies doing precisely that, becoming more sophisticated and able to ask more informed questions about where the technology is heading and what it […]
Becoming a Future-Ready Enterprise
It’s the job of senior enterprise leaders to ensure that their organizations are ready for the future. Unfortunately the future is unclear to us—all the more so in this era of rapid change, uncertainty, and complexity. As with the weather, we can foresee the near future with some certainty, but as we look further ahead, […]
Is Your Data Foundation Solid, Future-Proof, and Value-Added?
Organizations need a powerful infrastructure to realize the full value of their data. The purpose of this infrastructure is to organize data, ensure its quality, manage metadata and create a central catalog where the organization’s data can be queried. This infrastructure, called the data foundation, enables organizations to have clean, organized, and easily accessible data […]
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 […]
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 […]
In Search of Silver Bullets: Moving Beyond Dreaming of Data
Any sufficiently advanced technology is indistinguishable from magic. -Arthur C. Clarke