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Grok AIOps has evolved by combining multiple layers of intelligence based on machine learning (ML) to drive improvement in noise reduction and predict when incidents are going to happen.


  • Predicted incidents are surfaced hours ahead of current manual or rule-based methods and offer prioritized notifications that classify the service impact and allocate appropriate incident tickets.

Features and Benefits

  • Learn how Grok differentiates itself by combining machine learning techniques with novel AI licensed from Numenta called Hierarchical Temporal Memory.
  • Asses how Grok AIOps provides significant reduction of noise, often up to a 90% overall reduction, suppressing and correlating events to predicted incidents.

Key questions answered

  • What is the new field of AIOps and what is Grok's role in it?
  • How is Grok licensing of Numenta's AI, called HTM, different from other AI, such as deep learning?

Table of contents


  • Catalyst
  • Key messages

Recommendations for enterprises

  • Why put Grok on your radar?


  • Background
  • Current position

Data sheet

  • Key facts


  • On the Radar
  • Authors

Recommended Articles


Have any questions? Speak to a Specialist

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