How can cloud and artificial intelligence combine to make your wireless network more resilient to faults? Tom Hollingsworth takes a look at how Mist Systems, now a Juniper Networks, is using brand new ideas to solve age-old reliability issues.
Building an AIOps platform requires a lot of inputs. But not all inputs are good enough for your algorithms. How do you ensure that everything is working the way you want? You’re going to have to start with clean data. Tom Hollingsworth discusses ScienceLogic and their SL1 AIOps platform and how it can help with these issues.
You probably don’t need to be told that networks are getting faster. There’s a ton of reasons why. Cloud-based applications. Changing consumption models. 5G networks. Enhanced Wi-Fi. You name it and it’s going to be a reason why there’s more data flowing through your switches than ever before. You still need to make sure everything is on the up-and-up though, right? Letting all that data fly around without analysis is just asking for trouble. Tom Hollingsworth looks at how CounterFlow.ai helps to analyze this ever increasing data flow.
Insider threats are at an all-time high. They have the tools and the skills to evade traditional security measures. See how Exabeam is taking a new approach with machine learning to find the bad actors and combat their behavior.
How can you hope to fight viruses when you’ve never seen them before? Is the world of heuristic detection dead? Tom Hollingsworth takes a look at Ziften and how they are harnessing the power of AI to provide a way to find unknown viruses.
Is your wireless network producing more data than you can manage? Is there a way to sort through it all to provide real information? And how does that all scale in a stadium? Tom Hollingsworth takes a look at the new hardware and software releases from Extreme Networks and how they’re working together to build the next generation of wirelessly-connected stadiums.
We have heard time and again that data is the new oil. But like oil, data is only valuable if you have the capabilities to refine it. Having a platform like Sumo Logic at your disposal will allow you to do just that.
Thomas LaRock wrote up a post about AI, Deep Learning, and Machine Learning. These sophisticated tools allow for automation of a lot of work we thought might only ever be done by humans. But Thomas outlines why he’s not waiting for SkyNet quite yet.
AMD returned to the data center CPU market in a big way with their Epyc platform in 2017. But what about competing with Nvidia on the GPU side? The release of the Vega 20-based Radeon Instinct cards signals that AMD is ready to try.
The terms training and inferencing get thrown around a lot with machine learning, but what do they actually mean? This video by Thomas Henson breaks down the concepts.