Loom Systems (LS) brought together expertise in two core domains - the domain of Root-Cause Analysis and the domain of Artificial Intelligence. Combining the two made it possible to build a revolutionary technology that compensates for, and complements, human shortcomings and cognitive biases when practicing root-cause analysis in the complexity of digital environments. This proven methodology unlocks the ability to predict and prevent issues from breaking out; And to continuously improve your operations, development, and digital business. In the session we discussed the following: How AI can compensate for human cognitive biases when investigating a fault Automation - How AI and Machine-Learning can replace humans in a big chunk of the repetitive, well-defined but tedious tasks - humans are better at context-rich tasks, as opposed to machines which excel at tasks which require attention to detail, being fast, or excellent memory How both can be accomplished with the current staff in your business

1. Applying AI to Root-Cause Analysis
Dror Mann | CO-Founder, VP Product

2. Confidential and Proprietary
Hi!
Dror Mann
VP Product & Co-Founder
Loom Systems
Head of Product
Voyager Labs
Head of Operations
IDF elite Intelligence unit
dror@loomsystems.com

3. Confidential and Proprietary
• Intro – The Digital Era
• Root-Cause Analysis today
• What can we expect from AI
• Live Demo
• Q&A
Agenda

4. Reality

5. DevOps
The Problem

6. Confidential and Proprietary
Root-Cause Analysis Today
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix
Remedy
Apply fix

7. Confidential and Proprietary
Detection
Detect
There is a problem
• Helpdesk / Users
• Monitoring system

8. Confidential and Proprietary DETECT - Monitoring System

9. Confidential and Proprietary
Analyze
Detect
There is a problem
Analyze
Where and What is the
Root-cause
• Helpdesk / Users
• Monitoring system
• Search for Errors
• Hunch based (contextual)
• Weird phenomena (spikes,
texts length)
• Correlate

10. ANALYZE – Search for Errors

11. Confidential and Proprietary ANALYZE – Search for Errors

12. Confidential and Proprietary ANALYZE – Hunch Based / Contextual

13. Confidential and Proprietary ANALYZE – Weird Phenomena - Spikes

14. Confidential and ProprietaryANALYZE – Weird Phenomena – Textual Structures
This textual structure
looks weird…

15. Confidential and Proprietary ANALYZE – Correlations

16. Confidential and Proprietary
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix
Research
• Helpdesk / Users
• Monitoring system
• Google
• Consult with Dev
• Search for Errors
• Hunch based (contextual)
• Weird phenomenons
(spikes, texts length)
• Correlate

17. Confidential and Proprietary UNDERSTAND – Google Search

18. Confidential and Proprietary
Root-Cause Analysis Today - Summary
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix
Remedy
Apply fix
• Helpdesk / Users
• Monitoring system
• Google
• Consult with Dev
• Escalate or patch• Search for Errors
• Hunch based (contextual)
• Weird phenomenons
(spikes, texts length)
• Correlate
Very dependent on Human

19. What if there’s a better way?

20. Confidential and Proprietary
Pattern Recognition
Strict Methodology
Large Dimensionality
HUMANS
Good at top-down, open-ended tasks
BOTS
Superior at defined, bottom-up tasks
Deep reasoning
Contextual thinking
(Hungry)
(Married)
(Get tired)

21. Collect + Parse Learn Baselines
and Alert
Correlate &
Isolate
Enrich with
Insight/Action
Root-Cause Analysis using AI
Detect
There is a problem
Analyze
Where and What is the
Root-cause
Research
Understand how to fix

22. Confidential and Proprietary
“I’ve been hearing this for 20 years”
Total Recall, a movie based on a book from 1966, featuring a
self-driving car as science fiction.
If Artificial-Intelligence has matured enough to drive your car,
it can probably also help with your IT.
Skeptic?!

23. Let’s see it live

24. Confidential and Proprietary PRE-PROCESS

25. Confidential and ProprietaryANALYZE – Search for EVERY “Bad” Keyword

26. Confidential and ProprietaryANALYZE – Use Anomaly Detection to detect issues in Production

27. Confidential and Proprietary ANALYZE – Look for Weird Phenomena

28. Confidential and ProprietaryANALYZE – Correlate Issues ALL across your stack

29. Confidential and Proprietary ANALYZE – Isolate the Root-Cause

30. Confidential and ProprietaryRESEARCH – Find Insights and Recommendations

31. Confidential and Proprietary Machine Learning – Feedback Loops

32. Confidential and Proprietary
Prepare the Data Automated Pre-processing
Search for Issues (Reactive) Anomaly Detection (Proactive)
Analyze and Correlate Automated Root-Cause Analysis
Seek Solutions by Research Insights from an ever-growing Knowledge Base
Define What to Monitor Measure-All Approach
Built for Scale
Before AI With AI
Human Analyst Robot Analyst

33. Q&A

34. Thank You!
dror@loomsystems.com