On July 26, a packed Javits Center gathered to hear keynotes and sessions billed as “The cloud event for everyone.” I attended the AWS Summit and I’ll share my key takeaways – all focused on AI in some form. Swami Sivasubramanian, VP of Database, Analytics, and Machine Learning at AWS, delivered the keynote.
Artificial intelligence was the focus this week at Amazon Web Services Inc.’s AWS Summit New York, which makes sense given the massive interest in the topic since ChatGPT was launched.
For example, AWS announced several updates to its managed foundational model service, Amazon Bedrock. This was just one of many announcements that make it easier for customers to deploy generative AI to solve complex problems.
FinOps is gaining steam, but companies shouldn’t just forge ahead. They should carefully consider their approach to FinOps. The tech—which garners most of the headlines—is only one ingredient. The amount of data cloud services generate is so complex that people and processes are just as important.
Everywhere we look these days, data-intensive applications are increasing at breakneck speed. One of the companies at the center of this development is Nvidia Corp., which has been riding high of late because of the chips it makes to power artificial intelligence.
Earlier this month I attended the Major League Baseball All-Star Game in Seattle, home of the Mariners. As part of my activities there, I moderated a sports CIO summit hosted by Extreme Networks Inc., MLB’s official Wi-Fi solution provider, at Lumen Field, home of the Seattle Seahawks.