The document discusses the evolution of IT operations towards AI-driven solutions, emphasizing the necessity of integrating AI to manage increasing data complexity and improve operational efficiency. It highlights the transition from traditional siloed monitoring systems to a unified approach, emphasizing the importance of predictive and prescriptive insights. The future of IT operations will rely heavily on AI to handle routine tasks, enhance collaboration, and support digital transformations.

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AIOps: The Next Five Years
Rich Lane, Sr. Analyst
Jan 29, 2019

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The Changing World of Monitoring
AI is the key to future IT operations assurance

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Agenda
› Where we were before
› Where we are now
› Where we will eventually be

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The Good Old Days

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Agenda
› Where we were before
› Where we are now
› Where we will eventually be

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Today’s data overload

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AI for IT Operations is a Culture Shift
› I&O teams will need to realign much like DevOps
• Silos must be broken down and monitoring tools consolidated
• Bridge calls, response teams, and war rooms are antiquated
› A single source of monitoring truth
• Today we measure digital experience not just 99.999
› Next Gen Systems – Contextual Intelligence
• Everything in modern IT relates and a fault has multiple follow on effects

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Agenda
› Where we were before
› Where we are now
› Where we will eventually be

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“In which of the following emerging technologies will your firm
invest/is your firm investing in as part of their most recent digital
transformation?”
Base: 2,391 services decision-makers who are involved in their company's digital transformation
Source: Business Technographics® Global Services Survey, 2018
2%
3%
19%
26%
31%
36%
41%
46%
51%
58%
Other
Don’t know
Virtual reality
Augmented reality
Containers
Insights services
Blockchain
AI, ML, and cognitive computing technologies
Automation software
Internet of Things (IoT)

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AI for IT Operations Beyond Today
› Trust for AI to make a huge leap forward
• Operations teams will integrate AI systems into daily routines
• Low priority tasks that used to require humans to determine remediation path will be performed by
AI driven systems
› AI driven technology will go beyond automation
• Predictive insights will expand
• Prescriptive insights will increase in accuracy
› Integrations across the entire pipeline of IT services
• CI/CD systems will complete the loop of monitoring/remediation
• ITSM integrations will make history of ticket queue management
• AI driven monitoring systems will drive CMDB rationalization…finally

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AI for IT Operations Beyond Today
› Closer team collaboration
• ChatOps becomes imbedded in everyday IT Ops life
› IT will become the leader of business insight data
• Using AI driven monitoring tools non-convention data consumers can be served
• CMO, Sales, and CFO dashboards for real-time financial performance will be provided by IT Ops
› Digital transformations will change IT
• Business is digitizing to compete effectively
• DT creates more and more pressure on IT through complexity, speed, data volumes
• Humans can no longer keep up
• AI must lead the way

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Thank you
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13. Confidential and Proprietary Information for Moogsoft Inc.
AIOps: What is it and
where is it going?

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What is AI?
The reverse engineering of cognitive algorithms deployed by the brain
with the goal of observing, understanding, and manipulating complexly
structured and dynamic environments.
Why? - because traditional programming techniques are pretty rubbish at
dealing with highly complex and dynamic environments!

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What is AIOps?
The application of AI-based algorithms to IT operations use cases with
the goal of reducing MTTR and, by iteratively increasing the quality of
resolutions, MTBO.
We use don’t use AI because it’s cool. We use it because it is necessary!

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The Three Dimensions of AI
Problem Selection/Action
Pattern Discovery
Inference

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Situation
Room
Situation
Similarity
Collaboration
Learning
Causality
Probable
Root-Cause
Vertex
Entropy
Correlation
ABC
Topology
Text
Time
1010100
1010010
0100110
0010101
<f(x),x1> <g(x),x1>
INFORMATION
RICH
DATA
STREAM
CLUSTERS SITUATIONS
Entropy
Analysis
Metrics
AIOps In Action
TOPOLOGICAL
GRAPH
DATA
Dimension 3Dimension 1Dimension 2Dimension 3
Logs
Events