Machine Learning Implementation for IT Infrastructure and Operations Leaders

When should IT Infrastructure & Operations leaders implement machine learning? What should they expect?

“We have the challenge of making sure that we become much more proactive. AI and the capabilities of Evanios are absolutely critical.”

Eveline Oehrlich, Forrester

This insightful conversation between Eveline Oehrlich, Vice President and Research Director with Forrester Research, and Andy Ray, Co-Founder and Chief Architect at Evanios, sheds light on important areas:

  • What is the current state of Artificial Intelligence as it applies to IT Operations”?
  • How is organisational maturity an indicator of “readiness” for AI and machine learning
  • What’s real? What kind of solutions are being implemented today? What problems are they solving? Where’s the ROI?

Key takeaways:

  • Forrester asked technology decision makers if they are planning on adopting predictive analytics within the next twelve months. 51% had already adopted some, and the rest said they are still interested.
  • About 70% of IT budgets is spent fixing systems and applications. Only 30% goes toward innovation. That’s not enough. We must be thinking about how we can predict before things happen, because reacting is every expensive. Predicting brings much more value across the organisation.
  • Evanios uses machine learning to automatically score events, which helps I&O professionals get an immediate understanding of where they should focus their time. This is the same thing that IT Operations professionals would do manually if they had hours of time to spend evaluating every single event, every single outage, every single metric. Machine learning, performs all of those functions in milliseconds.

Find out more about Evanios:

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