
The drawing board is excellent. At that stage, anything is possible. But the real magic happens with implementation and outcomes. Ideas are only as good as the results they produce. Outcomes pay the bills.
The drawing board is excellent. At that stage, anything is possible. But the real magic happens with implementation and outcomes. Ideas are only as good as the results they produce. Outcomes pay the bills.
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.
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.
At the end of last month, Cisco Systems Inc. invited a small group of analysts to tour its facilities in Oslo, Norway, the home of the Cisco team responsible for its device portfolio — aka “Video Valley” — primarily used with Webex software.