Key AIOps Interview Snippets


How critical is time to
value with AIOps

  • Enterprises are looking for rapid time to value
  • Digital enterprises can no longer accept 9 months to 18 months
  • Should be able to deliver value within 90 days
  • Built-in integration and quick adoption is critical
  • And more…

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Why it is important for AIOps solution
to interplay with ITSM systems

  • Complexity demands smarter ways to handling tickets
  • Automatic enrichment of ticket with all necessary information
  • Should help engineers get to focus on what to do
  • Eliminates manual work of several hours of pulling data
  • And more…

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How important is dependency mapping
and why todays CMDB is no sufficient

  • Helps gain the context and full view of incident
  • Discovery tools and automation needed to keep CMDB updated
  • Should be able to get dependencies without CMDB also
  • Asset management function can also benefit from this
  • And more…

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Why collaboration and sharing
critical for AIOps success

  • Siloed data and working won’t give full picture
  • Sharing data helps them realize the power of technology
  • Companies benefited hugely with this cultural shift
  • Enables them to implement several new use cases
  • And more…

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How to address my data quality
and gaps challenges

  • Meta data discovery and dependency learning
  • Should be able to abstract the complexity
  • Centralizing data will help bridge the gaps
  • Should be smart to know what data to use
  • And more…

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How important is it to have
Operational Data in Handling Incidents?

  • Digitization increases complexity of operations
  • Need to be able to provide full picture for quick response
  • Operations/Machine data is critical but you need more
  • Pull in DevOps, change management and business data as well
  • And more…

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How AIOps can help hybrid cloud
and cloud-native strategies

  • Hybrid cloud is a reality but brings additional complexity
  • Cloud-native services have to work with legacy systems
  • Operation complexity increases and so u need intelligent systems
  • Having single view is important from operations and planning
  • And more…

  • Coming Soon...

Can skill gaps be a challenge for enterprises
to achieve success with AIOps

  • AIOps should be delivered as a solution - complete package
  • Specific industries may want to use data scientists
  • For majority AIOPs should hide the complexity
  • They should just be able to consume the better insights it provides
  • And more…

  • Coming Soon...

 
Key insights from Forrester Analyst interview
  1. Why do enterprises need AIOps
  2. What benefits can they expect
  3. Practical challenges they should be aware of
  4. Cultural shifts enterprise should be prepared for
  5. Need for a central data lake/access to all data
  6. Interplay with ITSM and benefits it can deliver
  7. How to extend its use beyond IT
  8. Why generic big data projects for IT fail
  9. How to deal with Hybrid cloud and cloud-native apps
    And More...