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.
Machine Learning
Battling Bad Behavior with Exabeam
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.
Detecting Malicious Programs with Intelligence from Ziften
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.
The Future of Sports Wi-Fi is Intelligent with Extreme Networks
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.
Wrestle Valuable Insights From Your Data With Sumo Logic
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.
The fault, dear Brutus, lies not in our machines…
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.
Radeon Returns to the Data Center
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.
Deep Learning: Training vs Inferencing
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.
Nvidia Geforce RTX 20 Series: The Death of General Purpose?
Nvidia’s new Turing architecture marks a significant departure for the company, offering dedicated ray tracing and tensor processors. On their workstation cards this make sense. But for consumers, is the added complexity and power worth the benefits?
Wrangling File Chaos with Cloudtenna DirectSearch
Searching for files across cloud storage and on-premises sources can be a disjointed and time-intensive process. Cloudtenna’s DirectSearch looks to ease that problem, providing a single login and UI to get unified file search across a wide range of repositories.