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.
Let’s face it, AI gets thrown around a lot in the enterprise these days. It often gets conflated with Machine Learning, Deep Learning, and neural networks. But does the term actually mean anything? Are there solutions out there that actually qualify as AI? The roundtable debates.
In our First IT Origins Survey, we’re asking the community on of our standard interview questions: What are the best and worst trends in IT right now? We’re pulled together some early responses, but we’d love your feedback as well.
The phrases “Machine Learning” and “Artificial Intelligence” get thrown around a lot in enterprise IT. Every solution seemingly has one of the two baked in. But what do those terms actually mean? How can be tell the difference between actual implementations and marketing bluster? We talked to mathematician Dr. Rachel Traylor to find out.
It’s become common now for IT companies to list deep learning algorithms as a major platform feature, from analytics to automation. But home does deep learning compare to actual human intelligence? Ray Lucchesi looked at some of its issues in the context of the MIT Intelligence Quest.
In this edition of Gestalt News:
– we generate new IT slogans using machine learning
– Matt Leib sits down for the IT Origins interview
– the Gestalt IT Rundown discuss the chip market crunch, Samsung surpassing Intel, and what a potential Dell EMC – VMware merger does
We used a predictive text keyboard from Botnik to make up some fake IT companies and slogans. Plus we threw in some stock photos for fun.
James Green takes his turn in the IT Origins hot seat. He reveals how he got started in IT (a career slightly delayed thanks to girls, beer, and video games), what he’s reading, how caffeine changed his life, and what tools he uses to stay organized.
Technical debt is more than the cost of not adopting a new technology. Dr. Rachel Traylor points out that it can also be the cost of hastily adopting a new technology without considering how it will fit into your bigger strategy.
Wireless IT also seems to personally effect end-users. Perhaps it’s because it’s easier for them to seemingly isolate Wi-Fi as the source of their frustration, it seems less bundled into other IT infrastructure (even if it really isn’t).
This makes these end-users both insanely frustrating, with the blanket declaration that “Wi-Fi sucks”, but also useful as the ultimate arbiter of performance. There’s generally only binary reactions of approving apathy or vocal derision.