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The Future of AIOps: Accelerate IT Ops with Data and Machine Learning Plaforms

“By 2022, 40% of all large enterprises will combine big data and machine learning functionality to support and partially replace monitoring, service desk and automation processes and tasks, up from 5% today.”*

What are the benefits of AIOps and how can they be implemented into your IT Operations strategy? Organizations are now seeking solutions that can prepare and wrangle all of their data. However, in order to develop a comprehensive strategy, orgs will also require sophisticated AI baked into its core to apply machine learning to gain predictive insights.

Featured guest Will Cappelli, VP in the Enterprise Management, Gartner and Rick Fitz, SVP, IT Markets, Splunk discuss the necessary tactics and best practices for a successful AIOps strategy, and how IT Ops market leaders can leverage data and machine learning platforms to scale initiatives that move business objectives forward.

Join us for our virtual fireside chat where you will learn about:

- New trends in AI for IT Operations
- How to develop an AIOps strategy to breaks down IT silos
- How leading IT Organizations decrease MTTR by 70% using AI capabilities
Recorded Jul 12 2018 31 mins
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Presented by
Will Capelli | Research Analyst, Gartner; Rick Fitz | SVP & GM IT Markets, Splunk
Presentation preview: The Future of AIOps: Accelerate IT Ops with Data and Machine Learning Plaforms

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  • Title: The Future of AIOps: Accelerate IT Ops with Data and Machine Learning Plaforms
  • Live at: Jul 12 2018 5:00 pm
  • Presented by: Will Capelli | Research Analyst, Gartner; Rick Fitz | SVP & GM IT Markets, Splunk
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