The document discusses the transformation of IT operations through machine learning and highlights the importance of context for extracting insights from data. It emphasizes the need for accurate, unfragmented data and proposes a game plan that includes preparing quality data, establishing relationships, and focusing on desired outcomes. Additionally, it mentions the challenges of bad data in modern data lakes and suggests that contextualized, clean data can lead to actionable insights and improved automation in AI operations.

1. How to Transform IT Operations with
Machine Learning? Apply Context.

2. Why Context Is Key
The Intellyx Take

3. 4© 2018 ScienceLogic
Show
me the
data!

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IT has a
problem
with
noise.

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More data
leads to
less
insight.

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Machine
Learning
to the rescue!

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Machine Learning demands
accurate and unfragmented data.

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Context
(the real
superhero)

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Context is the difference
between data and insights.

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Your Transformation Game Plan
Prepare for Quality
Collect data, but
adopt practices that
ensure quality
Enrich with Context
Establish and
maintain relationships
within your data
Start with Outcomes
Know what you want
to achieve and build
everything around it

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Your complex future requires…

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…a common data model.

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This is your opportunity.
Transform IT Ops at its core.
Ready. Set. Go.

14. How Context Can
Transform IT Operations
The ScienceLogic Take

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Industry Perspective:
Transform IT Ops with AI/Machine Learning
30% of Enterprises will adopt AIOps by 2023.
Big Data
AIOps Platform
Machine Learning
Source: Gartner

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But, There Are 3 Missing Ingredients
Real-time ContextReal-time, Clean Data1
Automation
2
3
Data Lake Machine Learning

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Bad Data Can Compromise AIOps
Data Swamp
Cost Time Processing
Data Lake
Cost Time Processing
Data scientists spend 79% of their time collecting, cleaning, and organizing data. Source: Gartner
Value Value
- - - -
Fault Topology
Performance Business Metrics
Configuration
Security

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Modern Data Lakes are Missing Context

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friend
like
friend
watch
listen
Eva
Adam
Kate
Facebook Applies Context to Social Data

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eCommerce
health
risk
perform
ance
Order
Fulfillment
Online
Retail
Card
Processing
fault
ScienceLogic Applies Context To Operational Data

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Clean Data With Context Creates An Actionable Data Lake
Data Collection
ITSM
NPM
Log Mgmt
APP
ITIM
API
Events
Polled
Streams
OS Forensics
Logs
Custom
Agents
Cloud
Apply Context
App +
Infra +
Service
Real-time,
Contextual
Data Lake
Fault Topology
Performance Business Metrics
Configuration
Security
Detect Anomalies
Predict
Assess Impact/Cause
Remediate
Enrich Incidents
Self-Heal
ML-assisted Automation
See Contextualize Act

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See
Know What You Have
Contextualize
Make Sense of It
Act
Do More With It
Key Takeaways
Drive value thru ScienceLogic’s Automation Engine for AIOps
Single Solution

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Questions?
Discuss your needs and how
ScienceLogic can help
Request at
www.sciencelogic.com/company/contact
Setup a 1:1

24. 25© 2018 ScienceLogic
Automation Engine for AIOps