How to Use AIOps to improve stability and accelerate innovation

October 21, 2020

In today’s volatile environment, your customers, partners, and employees are more dependent than ever on your ability to deliver reliable IT services. Investing in AIOps can be transformative in improving the quality and availability of services through more effective decision-making and analytics-driven automation.

While most IT organizations focus on using AIOps to improve incident MTTD (Mean Time to Detection) and MTTR (Mean Time To Resolution), that is really only the tip of the iceberg of the value they could realize.

E.g., are your IT Change and Service Management teams using the wealth of historical insights in ITSM, APM, DevOps, and other systems to avoid major incidents in the future? What best practices can help development teams create change that doesn’t cause business disruption? 

AIOps delivers precise insights that allow your teams to not only resolve incidents faster but also help avoid incidents altogether. Join our special guest speaker Dennis Drogseth, VP of Research at Enterprise Research Associates, and Amit Shah, Director of Product Marketing at Digital.ai, to learn: 

  • About the current AIOps market landscape
  • AIOps use cases that have driven customer value
  • How to align AIOps use cases with your goals and initiatives
  • Case studies of Digital.ai customers using AIOps capabilities today

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