Seth Paskin – BMC Blogs https://www.bmc.com/blogs BMC Software Fri, 19 Oct 2018 13:00:16 +0000 en-US hourly 1 https://blogs.bmc.com/wp-content/uploads/2016/04/bmc_favicon-300x300-150x150.png Seth Paskin – BMC Blogs https://www.bmc.com/blogs 32 32 A Roadmap to AIOps https://www.bmc.com/blogs/a-roadmap-to-aiops/ Mon, 18 Jun 2018 00:00:47 +0000 http://www.bmc.com/blogs/?p=12382 In my conversations with customers about AIOps, I frequently hear concerns about maturity. Customers may believe, for example, they aren’t mature enough to implement analytics, or that there is a linear progression for AIOps capabilities and they must start from a certain point corresponding to their own maturity self-assessment. Oftentimes they say something like ‘I […]]]> Machine Learning, Data Science, Artificial Intelligence, Deep Learning, and Statistics https://www.bmc.com/blogs/machine-learning-data-science-artificial-intelligence-deep-learning-and-statistics/ Fri, 16 Feb 2018 00:00:34 +0000 http://www.bmc.com/blogs/?p=11875 Machine learning. Data science. Artificial intelligence. Deep learning. Statistics. Most organizations, companies and individuals today are using these technologies – whether they know it or not. If your work involves computers, you’re likely familiar with at least some of them – but the terms can be confusing, and their use sometimes conflicting. The 21st century […]]]> Supervised vs Unsupervised AIOps Machine Learning https://www.bmc.com/blogs/supervised-vs-unsupervised-aiops-machine-learning/ Wed, 31 Jan 2018 00:00:05 +0000 http://www.bmc.com/blogs/?p=11806 This post explains the difference between “supervised” and “unsupervised” machine learning in the context of Artificial Intelligence for IT Operations (AIOps). I’ll define the difference between the two, briefly discuss application considerations and share a couple of IT-specific examples. What is “machine learning”? Machine Learning (ML) is frequently characterized as the effort to give machines […]]]> Concerns and Challenges of IT Leaders Considering AIOps Platforms https://www.bmc.com/blogs/concerns-and-challenges-of-it-leaders-considering-aiops-platforms/ Thu, 11 Jan 2018 18:52:16 +0000 http://www.bmc.com/blogs/?p=11722 In my role as Principal Solutions Marketing Manager for BMC’s TrueSight SaaS analytics and monitoring solutions, I’ve had the opportunity to talk with hundreds of customers this past year about Artificial Intelligence for IT Operations (AIOps). If you haven’t heard about AIOps before, check out this blog post and the Gartner Market Guide for AIOps. […]]]> AIOps Leverages Natural Language Processing for Service Tickets https://www.bmc.com/blogs/aiops-leverages-natural-language-processing-for-service-tickets/ Thu, 30 Nov 2017 00:00:41 +0000 http://www.bmc.com/blogs/?p=11528 As IT service delivery becomes more complex and dynamic, forward-thinking IT leaders are turning to Artificial Intelligence for IT Operations (AIOps). By leveraging machine learning and analytics on a big data platform, AIOps can help to resolve IT issues more efficiently and help to identify opportunities for automation. An AIOps platform that ingests large volumes […]]]> Why AIOps Needs Big Data and What That Means for You https://www.bmc.com/blogs/why-aiops-needs-big-data-and-what-that-means-for-you/ Thu, 16 Nov 2017 06:36:26 +0000 http://www.bmc.com/blogs/?p=11472 In our previous blog post explaining what “Artificial Intelligence for IT Operations” (AIOps) is, we presented the following graphic: In this blog post, we’ll go deeper into the Big Data layer, explain why it is essential for AIOps, provide a brief overview of big data evolution and discuss what this means for your AIOps initiative. […]]]> What Is AIOps? AIOps Explained https://www.bmc.com/blogs/what-is-aiops/ Fri, 30 Jun 2017 03:04:37 +0000 http://www.bmc.com/blogs/?p=10819 According to Gartner, IT Operations personnel (IT Ops) are in for a major change over the next few years. This change is driven by frustration with traditional IT management techniques, methods that enterprise IT Ops teams see as unable to cope with digital business transformation. Gartner predicts we will see a significant change in current […]]]>