ML

Guest Blogger  This week we welcome guest author Anthony McKinney, Data Center Specialist Army Tactical/SOF at Cisco, as he discusses artificial intelligence and machine learning.   Collaborator: Michelle Tschudy, US Public Sector/DoD   You can’t swing a CAT 6 cable lately without hitting…

In Part 1 of this blog, I point out that using machine learning algorithms is much easier today with packages such as scikit-learn, TensorFlow, PyTorch, and others. In fact, using machine learning has been relegated down to largely a data management problem and software development issue rather than…

Machine learning (ML) has been one of the hottest buzzwords in technology over the past few years. It seems every segment of the high-tech industry has been impacted by ML. This technology has changed the way we service customers, allowed us to interact with in-room meeting devices, made our busines…

Movies have always created powerful mystique about artificial intelligence. For example,  2001: A Space Odyssey had the computer, Hal 9000, that recognized astronauts, spoke to them, and even locked the door to prevent an astronaut from entering the spacecraft. In the Terminator movies, Skynet was a…

Few topics fan the innovation flames more vigorously these days than Artificial Intelligence (AI). Gartner predicts that by 2020, AI will be a top five investment priority for more than 30% of CIOs, and by 2022, AI will be one of three top workloads in the data center. Lurking inevitably nearby in c…

A few months ago at NVIDIA GTC we discussed how you could run your AI/ML workloads on Cisco infrastructure and get the benefits of integrated management and solve your data gravity problem. At the same time, we introduced our collaboration with Google to bring Kubeflow deployments on-premises. Now w…