AWS Cloud Enterprise Strategy Blog
Category: Artificial Intelligence
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 […]
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 […]
Lessons from Edison’s Bulb: Using Generative AI to Light the Way for Business Transformation
“Any sufficiently advanced technology is indistinguishable from magic.” —Arthur C. Clarke Thomas Edison Center at Menlo Park in Edison, New Jersey, commemorates the birthplace of recorded sound and the world’s first practical incandescent light bulb. On New Year’s Eve, 1879, Thomas Edison used his newly invented incandescent lamp to illuminate Christie Street, where his laboratory […]
AI and Collaboration: A Human Angle
I wonder if we’re overlooking an important implication of AI and generative AI for the future of the enterprise. If, as seems to be the case, many employees will use generative AI applications to assist them and interactively support their work, then a new style of work is emerging. Success for an employee will mean […]
Transformation and AI
We’ve all been busily transforming for the last few years. Now there’s this big AI thing. How does it relate to the rest of our transformation? Should we be changing or rethinking our transformation plans? The easy answer is no, but there are some subtleties. We transform to increase our agility in the face of […]
What Will Generative AI Mean for Your Business?
It won’t surprise you to hear that there’s been lots of excitement and speculation about generative AI in our meetings with AWS customer executives lately. The question on their minds is: “What does this mean for my business?” That’s a good way to frame the question; it’s not about what generative AI can do, but […]
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 […]
Mental Models to Clarify the Goals of Digital Transformation, Part 1
As we’ve all realized by now, the term digital transformation has become slippery and overused. Something big is going on today in the way technology is used in large enterprises, a change that seems to have something to do with digital technology, digital ways of working, and the increasing importance of digital interactions in our […]
Guest Blog: Accelerating Adoption of Machine Learning in the Financial Services Industry
Machine Learning (ML) is such a powerful new set of technologies, opening up so many business possibilities, that it’s sometimes difficult to imagine how best to put it to use. The possibilities are overwhelming, and there is little history to build on. In this post Baran Karlidag ties ML to the specific challenges that financial […]