Category: Artificial Intelligence

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 […]

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 […]

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 […]

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 […]

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 […]

Like other industries, insurance must respond to rising customer expectations for digital interactions. In this post, Tony Jacob, Amazon Web Services’ Worldwide Insurance Business Development Manager, explains how insurers can deepen their relationships with customers by engaging them digitally. Interestingly, he finds that the challenges have less to do with the digital interactions themselves, and […]

            From speaking with enterprise customers of all shapes and sizes, it is abundantly clear that we all share the same challenges: we’re racing to digitize our businesses, turn stalled progress into frequent innovation, and leverage data and machine learning. However, I feel there’s a gap in understanding how critical […]

One of the challenges many enterprise leaders face is how to experiment and quickly create business value from machine learning without establishing large teams with specialized skillsets and infrastructure. As a CTO, I found that having access to Amazon Web Service’s pre-trained AI Services enabled our developers, even those with no prior machine leaning experience, […]

“He uses statistics as a drunken man uses lamp posts—for support rather than for illumination.” —Andrew Lang When it comes to the data, it is culture first and capability second. In my previous post, I talked about how executives can create a data-driven culture in their enterprises. In this post, I am going to dive […]

“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.” ― Jim Barksdale Conversations about data-driven enterprises often focus on tools, big data, and the technological advancements that have made storing, processing, and analyzing data faster and cheaper. While these are all important, creating a data-driven culture […]