AWS Cloud Enterprise Strategy Blog
Category: Artificial Intelligence
Increasing Digital User Engagement in the Insurance Industry
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 […]
Machine Learning: Avoiding Garbage in, Garbage Out
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 […]
AI Explorations of a Former Media CTO (With No Prior Machine Learning Experience)
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, […]
How to Build Data Capabilities
“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 […]
How to Create a Data-Driven Culture
“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 […]