the business value of artificial intelligence - engage customer · 2019-06-17 · customer...
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© 2018 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This presentation, including all supporting materials,
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@BrianManusama
The Business Value of Artificial Intelligence
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1 © 2018 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates.
“The country that leads artificial
intelligence will rule the world.”Vladimir Putin, President of Russia
Source: CNBC — Sep 4, 2017
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N=890
What are the top 3 challenges to the adoption of Artificial Intelligence (AI) within your organization?
Address Fear, Capitalize On Opportunities and Mature Skills
Respondent Selections
Fear of the Unknown
79%
Finding Starting Point
63%
Enterprise Maturity
40%Vendor Strategy
48%
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Key Issues
Why does having patience with AI investments matter?1
What are the best practices from early deployments ofAI technology?3
What areas of use will demonstrate the value of AI?2
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5 © 2018 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates.
Key Issues
Why does having patience with AI investments matter?1
What are the best practices from early deployments ofAI technology?3
What areas of use will demonstrate the value of AI?2
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Products and Services
(50%)
Marketing, Sales and Customer Experience
(47%)
Production or Services Delivery Operations
(40%)Management, Risk Management and
Administration
(39%)
CEO’s Have High Expectations for a Material Business Impact
Higher Than:
Internet of Things
3D Printing
Cloud-Based API Platform
Blockchain
AI Ranked Highest
in Four Out of Five
Business Areas
Nearly HalfAbout Two
in Five
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Fear of missing out leads to extremely poor decisions
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Lack of Awareness Leads to Overblown
Expectations and Disappointment
Amazing innovation, but not Intelligent
Always
ImpossibleInnovation
Aging
Innovation
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It’s easy to train DNNs and NLP
AI learns on its own
AI sees like people do
You only need one AI platform
Believing The Hype Is Like Believing You Can Fly
Source: “Hype Hurts: Steering Clear of Dangerous AI Myths“
Dangerous AI Myths:
Buy “an AI” and you’re ready for anything
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TIME
AI TAKES PATIENCE V
AL
UE
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25% 21% 4%
Be Patient! You’re Not As Far Behind As You Might Think
Percentage of Respondents
No interest
14%
On the radar, no
action planned
35%
In medium- or long-
term planning
In short-term
planning/actively
experimenting
Have already
invested and
deployed
Q: What are your organization’s plans in terms of artificial intelligence?
Base: All Answering, n = 3.138
Source: Gartner 2018 CIO Survey
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Ethics Is At The Core Of Artificial Intelligence
92%… of “AI leaders” train their
technologists in ethics,
compared to 48% of other
AI adopters.
63%… of AI adopters have an
ethics committee in place to
review the use of AI.
Based on a global survey among 305 business leaders, more than half of them chief information officers, chief technology offers, and chief analytics officers.
Source: https://www.accenture.com/t20180914T183027Z__w__/us-en/_acnmedia/PDF-86/Accenture-AI-Momentum.pdf
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What Is the PRIMARY Role Driving AI Projects?
27%IT
Base: Answered artificial intelligence (AI) section, n = 890
Q. And, which functional role/area is the PRIMARY driver or initiator of artificial intelligence (AI) projects?
14% Customer Service
13% Corporate Leaders
9% Line of Business
7% Finance
7% R&D
73% ...Not IT
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Key Issues
Why does having patience with AI investments matter?1
What are the best practices from early deployments ofAI technology?3
What areas of use will demonstrate the value of AI?2
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What Types of AI Have Organizations Deployed or Planning to Deploy?
Decision-making/
Recommendation
Virtual personal
assistant/chatbots
that communicate in
natural language
Self-learning
mechanical
robotics
Embedded AI in
products that can
learn and adapt to
owners
Other: Machine learning, AI
analytics, search,
cognitive analytics,
prescriptive/descriptive
analytics
74%64%
40%
18% 18%11%
Process
automation
Other
Base: n = 80 Gartner Research Circle Members/Excludes “Haven’t decided yet”
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AI augmentation will generate 2.9 trillion dollars
in business value and recover 6.2 billion hours of
worker productivity.
Gartner Predicts in 2021
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Forecast: The Business Value of AI, Worldwide 2017-2025
#1
CustomerExperience
Especially, customergrowth and retention.
Near-term Potential Business Value For AI
#2
CostReduction
Boost process efficiencies,improve decision-makingand automate more tasks
See “Forecast: The Business Value of Artificial Intelligence, Worldwide, 2017-2025“
NewRevenue
will be the dominantsource of AI
business value
It Changes in 2021
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“Know Thy Self”Socrates
How do you maximize your value?
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What Are Your Intelligent Automation Opportunities?
Error
Reduction
Faster (Reduce Cycle Time)
Standardization Scalability
Cost
Reduction
Practical
Benefits
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Use of Artificial Intelligence
-
500,000
1,000,000
1,500,000
2,000,000
2,500,000
2017 2018 2019 2020 2021 2022 2023 2024 2025
Millions of Dollars
Decision Support Agents Decision Automation Products
44%
24%
19%
13%
2030
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What Is Your Customer Experience of the Future?
Sense Think
Do
▪ Use NLP to find meaning in words, speech and images (and maybe context)
▪ Predict an outcome and next best action
▪ Find a relationship
▪ Create an association
▪ Respond
▪ Optimize a process
▪ Take informed action (automated or assisted)
Learn
▪ Get smarter with every customer interaction
Source: Gartner (May 2018)
“How to Use AI to Create the Customer Experience of the Future“
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The business value
of AI will be proportional
to how thoroughly you
reinvent your business.
Efficiency
Gains
Massive
Personalization
Render
Insights
Reinvent
Decision Making
Capture
Knowledge
Share
Expertise
Reinvention Results In The Most Business Value
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Transform Decision Making
and Process Automation
Business Model
Innovations
Customer Experience
Innovations
Data and
Analytics
Strategy
Create Your Strategy: Identify Data-Driven Opportunities
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AI Will Be Net Job Creator
-1,000,000
0
1,000,000
2,000,000
3,000,000
4,000,000
5,000,000
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025
Nu
mb
er
of
Jo
bs
Loss Gain NetIn 2020, AI becomes a positive net job
motivator, creating 2.3 million jobs while
only eliminating 1.8 million jobs.
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Workers Prefer to Have AI Assist Rather Than Manage or Work Alongside Them
AI Role in the Workplace — Employees PreferencePercentage of Respondents
9%The Manager(above the worker)
52%Assistant
on demand 32% Proactive
assistant
None of the above15%11% The Co-worker (working next to the worker)
The
Worker
Base: Employed, n = 2,708
Q: If AI were to be implemented in your workplace, what role do you prefer that it take?
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Agenda
Why does having patience with AI investments matter?1
What are the best practices from early deployments ofAI technology?3
What areas of use will demonstrate the value of AI?2
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Use
CasesApplications
Common
Solution
Areas
Core AI
Technologies
Objectives/
Business
Results
… Then Evaluate How to Accomplish Them.
Define Objectives First …
Sources: “A Framework for Applying AI in the Enterprise,” (G00368243)
“How to Define and Use Smart Machine Terms Effectively,” (G00301283)
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Gain Experience and Review Objectives
Use
CasesApplications
Common
Solution
Areas
Core AI
Technologies
Objectives/
Business
Results
Continuously Iterate How to Accomplish Objectives
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Art of the Possible: Information Innovation Approach
Could we adapt
what they’ve done?
What could the data tell us?What is important to us?
POSSIBILITYAssess
Feasibility
Prove with
Data Science<< >>
?
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Listen to Consumer Preferences
25%
28%
47%
53%
58%
Better decision-making
Be healthier
Have an easier access to information
Save money
Save time
37% 55 to 74 years old
42% Retired without kids
61%65 to 74 years old
Which of the following benefits would make you want to personally use AI?
2018 Gartner Consumer AI Perceptions StudyBase: All respondents, n=4,019
Top Drivers of AI Use Vary With Age and Life-stage
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Pursue Human-Machine Symbiosis to Maximize Value
Planning
Actions
Cobots
Human-in-the-Loop
Domain Training
Sensing
Insights
Predictions
Upskilling
Domain Collaboration
Advisors
Assistants
Agents
Prescriptions
Humans
Aiding
Machines
Machines
Aiding
Humans
Humans + Machines Can Do More Together Than Either Can Do Alone
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One of The Most Important Business Case Considerations?
Refer to “Seven Factors That Make Business Cases for Artificial Intelligence Projects Different“
Primary Issue
Need to spend
more time on
data, training
and algorithms
What To Do About It
1. Account for the importance of data
2. Select business problems that have enough supporting data
3. Budget for adequatedata preparation efforts
DATA
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What Do We Do Now?
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Focus on outcomesSeveral generations (decades)
of AI-enriched applications are
yet to come.
BE PATIENT BUTDON’T WAIT
Call to action:
Learn from all industriesAI is advancing rapidly and
many are achieving powerful
‘tactical victories’.
FOLLOW FAST
Call to action:
BuyToo much focus on build
today and too much angst
over skill shortages.
UNDERSTANDOPTIONS
Call to action:
Foster AI literacyMany vendors will claim AI is in
their product – some claims will
be accurate.
INTERROGATECLAIMS
Call to action:
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TECHNOLOGY HUMANITY+
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“Can a robot write a
symphony?
Can a robot turn a canvas into
a beautiful masterpiece?”
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“Can you?”
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“Can you?”
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@BrianManusama
Thank you