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How to build the one job skill they can't automate (yet)

Artificial intelligence (AI) is already competing with humans for the jobs so many of us have built our careers on. Whether this is progress or the beginning of the end of civilization, it’s probably inevitable. But don’t panic: robots still can’t feel, which is good news for anyone aspiring to a long and fruitful career.

Monitoring errors in Xamarin apps

Xamarin is based on Mono, the open source implementation of Microsoft's .NET Standard. It allows us to create apps that easily run in multiple devices like phones and smart watches. It solves the difficulties many developers face when they’re developing cross-platform apps like different coding languages and UI paradigms. With Xamarin, you can use C# as a single language for iOS, Android, and Universal Windows apps.

How to Analyze Game Data from Killer Queen Using Machine Learning with Sumo Logic Notebooks

This year, at Sumo Logic’s third annual user conference, Illuminate 2018, we presented Sumo Logic Notebooks as a way to do data science within the Sumo Logic platform. Sumo Logic Notebooks integrate Sumo Logic data, data science notebooks and common machine learning frameworks.

Unleash the Power of Anywhere IT Ops with Enterprise Alert and its Mobile App

When we introduced ‘remote actions’ in 2012, i.e. the execution of IT automation tasks from your smartphone, we aimed at empowering the mobile (IT) workforce of the future. We aimed at relieving IT people from being bound to their desks, notebooks and PCs.

Healthcare IoT: Monitoring Diabetes with Logz.io

Before I hop right in, it’s important to understand a bit about diabetes. Diabetes is what happens when your body cannot produce (type 1) or respond (type 2) to insulin effectively. The impact on the body is frequently quite severe — people who have difficulty controlling their blood sugar levels run the risk of losing feeling in their fingers and/or toes or even going into a coma if their blood sugar is either too high or too low.

Overcoming The Black Box Problem With Machine Learning in IT Operations

Chronically understaffed and constantly stressed-out IT Ops and NOC teams are overwhelmed by today’s IT noise. Artificial Intelligence (AI) and Machine Learning (ML) can help these teams because ML (and AI) are exceptionally good at processing enormous volumes of very complex data in real-time, or near real-time, and surfacing actionable insights. But ML successes in IT Ops are still hit-or-miss.