The CES consumer electronics show in Las Vegas, which has become the show to highlight the latest and greatest in consumer technology, is about to get in full swing. Nvidia Corp. has been a mainstay at the show for years, first through its gaming business, but over the years it has broadened its presence into areas such as autonomous vehicles and artificial intelligence.
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.
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.
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.
Many technology vendors have used artificial intelligence to transform their products. This is evident in areas like unified communications, contact centers and cybersecurity.
Yet one area of IT that has yet to see AI play a significant impact is the network. AI has been used to improve basic management functions but has yet to transform network operations.