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AI-DRIVEN AUTOMATION FOR ITSM
DAN TURCHIN | APRIL 2018 | UK SNUG
KEY TOPICS
1. HOW AI IS CHANGING THE WORLD
2. HOW AI IS CHANGING WORK
3. HOW AI IS CHANGING ITSM
4. TOP SIX LESSONS TO SUCCEED
WITH AI
5. WHAT’S AHEAD
2
3
“Every problem can be solved
with data. AI is a fundamentally new
approach to eradicating the world’s
biggest threats.”
-World Health Organization
Collect
Clean
Train
Evaluate
Iterate
Learn
SAVING THE WORLD WITH DATA
“If it can be predicted, it’s better left to
machines. If it requires intuition, it’s better
left to humans.”
4
HOW AI IS CHANGING THE WORLD
IMPROVING THE HUMAN CONDITION
5
HOW AI IS CHANGING WORK
IMPROVING PRODUCTIVITY AND PROFITABILITY
6
HOW AI IS CHANGING IT
IMPROVING SERVICE QUALITY, RELIABILITY, AVAILABILITY
THE BENEFITS OF AI-DRIVEN AUTOMATION
!7
Reduce MTTR Improve customer
satisfaction
Improve self-
service adoption
Improve first-call
resolution
Reduce call volumeReduce support costs
AI IN THE SERVICE HEALTH LIFECYCLE
8
Monitoring
Provisioning
Capacity planning
Incident Mgmt.
Problem Mgmt.
Change Mgmt.
Orchestration
Remediation
Root cause analysis
Knowledge Mgmt.
VIRTUAL AGENTS
9
Diagnose
Route
Resolve
Recommend
S M A R T R E C O M M E N D AT I O N S
!10
P R E D I C T I V E A N A LY T I C S
!11
Neva
Neva
Neva dashboard
Fulfiller assistance
Neva dashboard
RCT pro tips
7% 3%
Entity bubble chart Top categories past 7 days
Virtual agent sessions
ACCURACY FREQUENCY
Automate the lifecycle of service requests with AI
!12
Analyze
Advise
…
Answers
Predict
Use natural language to
interactively diagnose and
resolve common issues.
Categorize and route tasks to
the right live agent to reduce
unnecessary hops.
Present the best solution to the
live agent and learn from every
answer to reduce MTTR.
Make better business decisions
with Pro Tips based on AI-
driven automated service
trends.
Astound + ServiceNow Agent Intelligence
!13
Model optimization
Self-learning
Category
blacklisting
Human in the loop
Agent Intelligence
Astound + ServiceNow chatbot framework
!14
Virtual agent designer
Semantic parser
Domain ontologies NLP/NLU via dialog
state machine
Model manager
THE VALUE OF AI-DRIVEN AUTOMATION
!15
45% call volume reduction
25% customer sat
28% self-service usage
• Reduce wait time
• Reduce call volume
• Reduce MTTR
• Improve self-service adoption
• Order goods and services
• Submit incidents
TOP SIX TIPS FOR SUCCEEDING WITH AI
!16
1 Identify business objectives
2 Clean your data
3 Define KPIs and establish baselines
4 Don’t anthropomorphize the bot
5Recommend before predicting
6First make humans better
F U R T H E R R E A D I N G
!17
DISCUSSION
QUESTIONS
1. WHO OWNS YOUR DATA AND HOW
CAN THEY USE IT?
2. WHO IS LIABLE WHEN AI FAILS?
3. SHOULD WE CARE ABOUT
ALGORITHM BIAS?
4. WHAT WILL YOU DO WITH YOUR
LEISURE TIME?
5. HOW WILL YOU LEAD YOUR TEAM’S
DIGITAL TRANSFORMATION?
18
A I - D R I V E N A U T O M AT I O N F O R I T S M
H T T P : / / A S T O U N D . A I / S E R V I C E N O W | I N F O @ A S T O U N D . A I | @ A S T O U N D _ A I
+ 1 6 5 0 . 5 3 3 . 0 9 1 8 | D A N @ A S T O U N D . A I | @ D T U R C H I N
!19

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Improving ITSM with AI - Astound - UK SNUG - April 2018

  • 1. AI-DRIVEN AUTOMATION FOR ITSM DAN TURCHIN | APRIL 2018 | UK SNUG
  • 2. KEY TOPICS 1. HOW AI IS CHANGING THE WORLD 2. HOW AI IS CHANGING WORK 3. HOW AI IS CHANGING ITSM 4. TOP SIX LESSONS TO SUCCEED WITH AI 5. WHAT’S AHEAD 2
  • 3. 3 “Every problem can be solved with data. AI is a fundamentally new approach to eradicating the world’s biggest threats.” -World Health Organization Collect Clean Train Evaluate Iterate Learn SAVING THE WORLD WITH DATA “If it can be predicted, it’s better left to machines. If it requires intuition, it’s better left to humans.”
  • 4. 4 HOW AI IS CHANGING THE WORLD IMPROVING THE HUMAN CONDITION
  • 5. 5 HOW AI IS CHANGING WORK IMPROVING PRODUCTIVITY AND PROFITABILITY
  • 6. 6 HOW AI IS CHANGING IT IMPROVING SERVICE QUALITY, RELIABILITY, AVAILABILITY
  • 7. THE BENEFITS OF AI-DRIVEN AUTOMATION !7 Reduce MTTR Improve customer satisfaction Improve self- service adoption Improve first-call resolution Reduce call volumeReduce support costs
  • 8. AI IN THE SERVICE HEALTH LIFECYCLE 8 Monitoring Provisioning Capacity planning Incident Mgmt. Problem Mgmt. Change Mgmt. Orchestration Remediation Root cause analysis Knowledge Mgmt.
  • 10. S M A R T R E C O M M E N D AT I O N S !10
  • 11. P R E D I C T I V E A N A LY T I C S !11 Neva Neva Neva dashboard Fulfiller assistance Neva dashboard RCT pro tips 7% 3% Entity bubble chart Top categories past 7 days Virtual agent sessions ACCURACY FREQUENCY
  • 12. Automate the lifecycle of service requests with AI !12 Analyze Advise … Answers Predict Use natural language to interactively diagnose and resolve common issues. Categorize and route tasks to the right live agent to reduce unnecessary hops. Present the best solution to the live agent and learn from every answer to reduce MTTR. Make better business decisions with Pro Tips based on AI- driven automated service trends.
  • 13. Astound + ServiceNow Agent Intelligence !13 Model optimization Self-learning Category blacklisting Human in the loop Agent Intelligence
  • 14. Astound + ServiceNow chatbot framework !14 Virtual agent designer Semantic parser Domain ontologies NLP/NLU via dialog state machine Model manager
  • 15. THE VALUE OF AI-DRIVEN AUTOMATION !15 45% call volume reduction 25% customer sat 28% self-service usage • Reduce wait time • Reduce call volume • Reduce MTTR • Improve self-service adoption • Order goods and services • Submit incidents
  • 16. TOP SIX TIPS FOR SUCCEEDING WITH AI !16 1 Identify business objectives 2 Clean your data 3 Define KPIs and establish baselines 4 Don’t anthropomorphize the bot 5Recommend before predicting 6First make humans better
  • 17. F U R T H E R R E A D I N G !17
  • 18. DISCUSSION QUESTIONS 1. WHO OWNS YOUR DATA AND HOW CAN THEY USE IT? 2. WHO IS LIABLE WHEN AI FAILS? 3. SHOULD WE CARE ABOUT ALGORITHM BIAS? 4. WHAT WILL YOU DO WITH YOUR LEISURE TIME? 5. HOW WILL YOU LEAD YOUR TEAM’S DIGITAL TRANSFORMATION? 18
  • 19. A I - D R I V E N A U T O M AT I O N F O R I T S M H T T P : / / A S T O U N D . A I / S E R V I C E N O W | I N F O @ A S T O U N D . A I | @ A S T O U N D _ A I + 1 6 5 0 . 5 3 3 . 0 9 1 8 | D A N @ A S T O U N D . A I | @ D T U R C H I N !19