The year is coming to an end, which means the holidays are here — and for sports fans, it also means the NFL and college football playoffs are around the corner.

Football stadiums will turn into mini-cities holding tens of thousands of people, all of whom want to be hyperconnected as they cheer on their favorite teams. Through their mobile devices, they can share photos and video with their friends but also check on other scores, watch highlights and more, creating an integrated physical and digital experience.

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Football playoffs are upon us. Is the Wi-Fi ready?

The 11th annual Amazon Web Services re:Invent is now in the books. This was the first fully attended re:Invent since the pandemic — 2021 had a capped audience — and I was curious to see how well-attended the event would be. The “about re:Invent” post, written prior to the start of the show, claimed “over 50,000,” but I heard that it may have been as high as 70,000, which is at pre-pandemic levels.

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Five top takeaways from AWS re:Invent 2022

One of the major focus areas for Amazon Web Services Inc.‘s 11th annual re:Invent conference this week is machine learning and artificial intelligence, and that focus comes as businesses are looking to use the technologies to analyze data and transform their organizations.

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AWS introduces AI Service Cards to improve responsible use of AI

With its fiscal first-quarter earnings reported Wednesday, networking giant Cisco Systems Inc. started off the year with a bang.

Cisco’s numbers are always an important industry litmus test because it’s the biggest networking vendor and has the broadest portfolio. How their quarter goes is a general indicator for the direction of the network, collaboration, service provider spending and security.

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Top takeaways from Cisco’s ‘beat and raise’ first-quarter earnings

Artificial intelligence promises to revolutionize almost all industries, but one of the use cases where it can have a significant impact is the slow and error-prone processing of medical images.

Yet AI in radiology hasn’t been broadly adopted because of the complexity of clinical workflows and the lack of industry standards. In fact, according to Nvidia Corp., 99% of medical imaging AI applications never make it to patients because they can’t be deployed at large scale.

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Nuance and Nvidia partner to improve medical imaging