HCL DRYiCE iAutomate
AI Driven Knowledge Gathering & Execution
1 Copyright
Copyright©©2018
2017 HCL Technologies Limited | www.hcltech.com
DRYiCE iAutomate for Intelligent IT Operations
Databases
Hybrid
Devices
Experience
On Premise
Applications Monitoring Correlation ITSM
Cloud
Security
End Points Networks
2 Copyright © 2018 HCL Technologies Limited | www.hcltech.com
Traditional Operations Delivery
Update ITSM Post Resolution
Runbook Automation Solution
ITSM
SD
SMEs
Fetch Tickets Initiate Runbook
Y
Runbook
Exists ?
Resolve using Ad-hoc Method
N
RBA SME
Service Desk Execute
Create Incident Tickets
Monitoring Layer
Server Network Application Website User End Points
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Challenges in Human Driven IT Operations
Tacit Knowledge Not Designed for Autonomy Delayed Information & Decisions No Centralized Repository
Skill Dependency Process Human Driven Systems
People Technology
Increased Critical Business
Increased Overheads Operational Costs Service Outage SLA Breaches Downturn in CSAT
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Delivering Operations in Auto Mode Through iAutomate
Update ITSM Post Resolution
iAutomate RBA RBA SME
ITSM
iRecommend
Create Incident iScrape iUnique
Fetch Tickets
Tickets
iParse iKnowledge
Support Desk Select Run book
Knowledge
Repository
Situational Awareness
Monitoring Layer Orchestrator
Server Network Application Website User End Points
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iAutomate Building Blocks
iExecute
iUnique iScrape
iRecommend
iKnowledge
iParse
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iAutomate - iRecommend
Recommend The Best Matched Run Book For A Given Ticket Description
NLP
iRecommend Pre-processing Synonym Resolution User Defined Features Exclusivity Reg-Ex
ML
Pattern
Matching
Text
Processing
Information
Retrieval Best Matching Algorithms
Ranking Function To Rank Matching Documents
According To Their Relevance To A Search Query
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iAutomate - iScrape
Automated Runbook Generation
Search Extract
iScrape
Stop word
Removal
Lemmatization
Stemming Create
Incorporate
Information Extraction Algorithms
The Task Of Automatically Extracting Structured Information
From Unstructured And/or Semi-structured Machine-readable
Documents
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On The Fly Run-book Creation
Encounter Issue where Invokes iKnowledge to Create Run Book Skeleton
Run-Book / Standard Resolution Search For &
Does Not Exist Prior Issue Experience Communicate with Experts
Yes
Prior Yes Initiate Search on Match
Knowledge Pre-Defined Found
Found External Repository ?
?
No
No
Raise Request for New Knowledge SMEs & Experts work
Artefact with To
Experts & SMEs Enrich iAutomate Knowledge
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iAutomate – Other Modules
Semantic Frames
Parse The Ticket Description To Extract The Relevant Input Parameters
iParse
Search – Extract - Enrich
Incorporate knowledge on similar kinds of issues raised from global
iKnowledge knowledge repositories and KEDB
Active Learning
Cluster the tickets basis on the pattern recognition
iUnique
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Automatically Evolving Control Over IT
FULL
AUTO
AUTO
7
3 5 iAutomate Learns
1 Integrate iAutomate iAutomate Partially
Build Preliminary Patterns Over Time
with Enterprise Tools Operates in Auto Mode
Knowledge from ITSM
Data High Confidence Cases
Operated by iAutomate
4
SMEs Utilize iAutomate in Autonomously
2 Conjunction with ITS
iAutomate to Ingest 6
Raw Data & Expert Experts Evaluate Auto
SMEs Work On & Resolve Mode & Fine Tune
Knowledge Issues Model
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iAutomate in AIOPS
Users LUCY (Cognitive Virtual Assistant)
Visibility, Analytics & Insights MyXalytics™
Service Management Layer XSM™
MyCloud™
Automation Layer (iAutomate) COPA™
iAutomate™
Predictive Analytics Based Event Correlation Layer
Unified Element Layer Monitoring
Private/Hybrid
cloud
Business Process Applications Infrastructure Things
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iAutomate Integrations
Orchestration Automation & Configuration
Orchestrator
AO
ITPA
HPOO
ITSM ITSM
ITSM
Event Automation Event Automation
Event Automation
NOI
Monitoring Tools
Monitoring Monitoring
Application & Infrastructure
OVO Reporter
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Major Engagements
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$7 BILLION ENTERPRISE | 109,000 IDEAPRENEURS | 31 COUNTRIES