How to Transform IT Operations with Machine Learning - Apply Context

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IT operations is complex. And it generates a ton of data. So much data, that it can quickly overwhelm your IT Operations team’s ability to process it. Is more data really better? Or is it noise that inhibits action? While Machine Learning promises to make sense of it all, it requires complete, accurate, and unfragmented data. Otherwise, the old adage “Garbage in, Garbage out” prevails.

Technology

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

5© 2018 ScienceLogic
IT has a
problem
with
noise.

6© 2018 ScienceLogic
More data
leads to
less
insight.

7© 2018 ScienceLogic
Machine
Learning
to the rescue!

8© 2018 ScienceLogic
Machine Learning demands
accurate and unfragmented data.

9© 2018 ScienceLogic
Context
(the real
superhero)

10© 2018 ScienceLogic
Context is the difference
between data and insights.

11© 2018 ScienceLogic
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

12© 2018 ScienceLogic
Your complex future requires…

13© 2018 ScienceLogic
…a common data model.

14© 2018 ScienceLogic
This is your opportunity.
Transform IT Ops at its core.
Ready. Set. Go.

How Context Can
Transform IT Operations
The ScienceLogic Take

16© 2018 ScienceLogic
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

17© 2018 ScienceLogic
But, There Are 3 Missing Ingredients
Real-time ContextReal-time, Clean Data1
Automation
2
3
Data Lake Machine Learning

18© 2018 ScienceLogic
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

19© 2018 ScienceLogic 19© 2018 ScienceLogic
Modern Data Lakes are Missing Context

20© 2018 ScienceLogic
friend
like
friend
watch
listen
Eva
Adam
Kate
Facebook Applies Context to Social Data

21© 2018 ScienceLogic
eCommerce
health
risk
perform
ance
Order
Fulfillment
Online
Retail
Card
Processing
fault
ScienceLogic Applies Context To Operational Data

22© 2018 ScienceLogic
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

23© 2018 ScienceLogic
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

24© 2018 ScienceLogic
Questions?
Discuss your needs and how
ScienceLogic can help
Request at
www.sciencelogic.com/company/contact
Setup a 1:1

25© 2018 ScienceLogic
Automation Engine for AIOps

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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

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

2. Why Context Is Key The Intellyx Take

10. 11© 2018 ScienceLogic 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

14. How Context Can Transform IT Operations The ScienceLogic Take

17. 18© 2018 ScienceLogic 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

21. 22© 2018 ScienceLogic 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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