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Top 3 decision guide for artificial intelligence (AI) and machine learning (ML) for optimizing DevOps, IT operations, and business

EMA research has found that AI and ML is the number one strategic enterprise IT investment priority in 2018.

At the same time, most enterprises are still struggling to understand the basics of how to successfully evaluate AI and ML solutions, how to put project performance metrics in place, and how to handle the eight key limitations of AI and ML technologies today.

Some of the key benefits of AI/ML include:

  • Free up 30% of developer time and up to 50% of IT operator time used to support infrastructure
  • Eliminate operational silos as the root cause of cost, quality, and speed bottlenecks in DevOps
  • Proactively address operational issues and minimize mean time to repair (MTTR)
  • Curb alert flood & receive alerts aligned with business priorities
  • Help the 72% of enterprises with ungoverned Kubernetes clusters to bring these back under corporate control
  • Operate a mostly self-driving hybrid cloud to unlock the 50% of data that cannot go into the public cloud today

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