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Introduction

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.

Highlights

  • 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

Summary

  • Catalyst
  • Key messages

Recommendations for enterprises

  • Why put Grok on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Authors

Recommended Articles

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