According to Gartner, "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."* [epq-quote align="align-right"]One of the key attributes toward enhancing IT operations teams' skills is an incremental approach. Tools that support the incremental deployment and support the four phases of IT-operations- oriented machine learning must be given a higher priority for investment.*[/epq-quote]Machine learning analytics help organizations improve operational and business efficiency with deep visibility across DevOps, IT ops and compliance and security environments to run their mission critical applications and services. To effectively manage your application, it’s critical to have visibility into both logs and metrics. Metrics can provide app and infrastructure KPIs, while logs provide context into application and infrastructure execution KPIs. Managing one without the other, provides you with incomplete data; you need both to troubleshoot application issues quickly and efficiently. Organizations that are responsible for optimizing IT operations to drive business value should consider platforms and solutions that can ingest and provide real-time insights into a variety of data including, logs, metrics and more. To learn more download the Gartner Market Guide for AIOps Platforms report. * Market Guide for AIOps Platforms, Gartner, August 3, 2017 Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
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