Date: 16th November 2017 Location: Keynote Theatre Time: 15:50 - 16:20 Speaker: Robert Golladay Organisation: Cognitive Scale

1. Reshaping Digital Business with Augmented Intelligence
16th November
Robert Golladay
Managing Director, Europe, CognitiveScale
golladay@cognitivescale.com

2. Agenda
1. Where is AI today? How does it help businesses innovate?
2. How much is real and how much is marketing hype?
3. What are the practical applications of AI right now?
4. How can you best go about leveraging AI?
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3. We have entered the AI era

4. AI is already disrupting everything from coffee to concerts to cancer
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5. Three Major AI Caliber Categories
• Artificial Narrow Intelligence (ANI). Also known as Weak AI
• We are currently a world (basically) running on ANI
• Cars are full of ANI. It can fine tune your fuel injection (but it cant give you dating advice)
• The world’s best chess and Othello players are ANI
• Analysis of a mammogram is done by ANI more accurately and faster than a human. When AI starts beating us, it never looks back
• Artificial General Intelligence (AGI). Also known as Strong AI . Breadth . All of this could happen soon
• Very few are super skeptical of “if” . It’s when – “Why wouldn’t it just own the economy?”
• Recursive self-improvement. A machine that can perform any intelligent task that a human can. It could happen faster than we think
• Artificial Super Intelligence (ASI). Musk and Open AI and Neuralink to combat. AI that’s smarter than any human,
across the board
By 2025 ANI will be everywhere – “Cook vs Chef”
Tim Urban, The Road to Superintelligence
5

6. ANI is Here; What About AGI and ASI?
Why the Pursuit? ASI could allow us to conquer our mortality.
6

7. Where does AI fit in the world of Analytics, Big Data, Cognitive Computing?
.
COGNITIVE
COMPUTING
ARTIFICIAL
INTELLIGENCE
MACHINE
LEARNING
BUSINESS
INTELLIGENCE
RAW DATA
Analysis and
visualization of
structured data
Identify patterns and
extrapolate data for
prediction
Creation of intelligent
machines that work
like humans
Systems of Intelligent
engagement that learn through
interactions of Humans and
Machines
Analyze very large, multi-
structured data sets, both
batch and streaming
BIG DATA
ANALYTICS
Analyzing and visualizing
business information
Improving processes,
building smart products
Self-learning processes,
new products/businesses
Data
Lake
Data
Warehouse
Industry and Process
Agents and Skills
Training
Data sets
Knowledge
Graphs
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8. AI is the next frontier for digital innovation
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©&2015&Forrester&Research,&Inc.&Reproduction&Prohibited 10
Continuous$learning
Digital$insights
What$you$need$is$a$link$between$data,$
insight$and$action
All&possible&
data
All&possible
actions
Right
data
Effective
actions
Source:&April&27,&2015,&“Digital&Insight&Is&The&New&Currency&Of&Business”&Forrester&report
Find hidden meaning in all available data
e.g. numbers, text, images, audio, video
Drive effective actions with customers and
employees through personalized insights
Deploy APIs, end points, and business processes that learn
continuously to eventually power a 'self-driving business'
All Possible
Actions
All
Possible
Data Digital Insights
Continuous Learning

9. Why is AI resurging now?
Cloud
Social
Mobile
Big Data
Analytics
A.I.
MILLENNIALS
Artificial Intelligence
Cloud
Mobile
Social
Big Data
Blockchain
Super
Convergence
9
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10. Super convergence powered disruption is already underway
• World’s largest taxi company has no taxis (Uber)
• Largest accommodation provider owns no real estate (Airbnb)
• Largest phone companies own no telco infra (Skype, WeChat)
• World’s most valuable retailer has no inventory (Alibaba)
• Most popular media owner creates no content (Facebook)
• World’s largest movie house owns no cinemas (NetFlix)
These are ALL technology companies that engage customers brilliantly!
10

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And it is occurring at an accelerated pace

12. Agenda
1. Where is AI today? How does it help businesses innovate?
2. How much is real and how much is marketing hype?
3. What are the practical applications of AI right now?
4. How can you best go about leveraging AI?
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13. Where is AI implementation today in the Enterprise?
AI = Artificially Inflated
AI = Amazing Innovations
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14. AI = Artificially Inflated
1. AI is going to kill our jobs
Opportunity for augmenting jobs is way larger than replacement of humans with AI.
2. Big Data and Analytics are AI
These are used in AI. Data and analytics are similar to senses, but not intelligence.
3. NLP, Machine Learning and Deep Learning are AI
These are just tools for complex pattern recognition. Fuel pump vs car.
4. Robotic Process Automation is AI
RPA handles rule-based work, structured data inputs. Not judgement-based work, unstructured data.
5. Enterprise AI can be an opaque Black box
99+% of AI startups operate AI as a Black box. Their AI is not explainable and not compliance ready
6. Technology alone will solve all problems and overnight
It’s not just about Technology but also about data, domain, methods, and change management
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15. AI = Amazing Innovation in Healthcare
15
BusinessValue
Prescriptive
Predictive
Deductive
What could happen next?
What is the best course of action?
Workflows that learn and act continuously?
Diagnostic
What does that mean?
Descriptive
What happened?
90%ofBusinesses
arefocusedhere
COGNITIVECLOUD
OPPORTUNITYSPACE
Pollen.com Tweet
Tue, 10:00 CT
Ragweed, 81832
5 Ragweed variants
17 children at risk
3 admitted <90 days
4 will end up in ER
1 w/o reimbursement
a) Parents reminder
b) School Nurse
c) Mail Inhaler
d) Parents Uber
Wed AM:
How many affected
Which option best?
Update knowledge
1. KNOW ME
My history, my
environment, goals.
2. ENGAGE ME
Contextual insights with
evidence.
3. LEARN FROM ME
Actions and outcomes,
deeper profile of one.
Healthcare
AI Powered Process
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16. Agenda
1. Where is AI today? How does it help businesses innovate?
2. How much is real and how much is marketing hype?
3. What are the practical applications of AI right now?
4. How can you best go about leveraging AI and where can we help?
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17. systems of record together deliver insight
Survey: What are the likely first targets of AI?
• Create entirely new experiences and
business models for new revenues
• Augment capabilities of knowledge
workers and create new revenues
• Replace knowledge labor and reduce
overall costs
• Replace transactional labor and reduce
overall costs
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18. Case Study: Major US Retailer with and without AI
1 2 3 4 5 6 7 8
Engagement
Retailer CogScale
1 2 3 4 5 6 7
Conversion
CogScale Retailer
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Conversion Lift
Weighted Avg. = 23.03%
Engagement Lift
Weighted Avg. = 44.91%
This digital brain is learning & getting smarter over time.

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20. Retail Banking
Investment Banking
Wealth Management
Insurance
Life Goal Board – Holistic life and financial planning
solution, encouraging customer engagement, facilitating
customer acquisition via personalized insights and “Profile
of one”
Wealth Advisor – Augmented intelligence solution
providing contextual insights to a relationship manager or
wealth team, enabling higher productivity and better
customer upsell (via next best action)
Trading Insights (QR) – AI-based solution providing
investors with research insights based on their interests
and portfolio holdings. Provides the kind of tailored
insights that are today only available to institutions and
hedge funds.
Profile-of-One – Build an augmented, inferred customer
record, driving better customer experience and opportunity
identification
Early Warning System – AI-based solution that
provides executives with macro eco/geo and social trends
that could impact customers, book, products or business
models.
Marketing Segmentation – AI-based solution that
builds and infers customer segmentation groups from all
available data, providing marketing and sales teams, new
and augmented dialogues with their customers
Customer Retention – Based on all customer
interactions, using available 1st and 3rd party data,
leveraging the Profile-of-One, build a targeted strategy for
each of your at risk customers
Banking & Financial Services Capabilities (CogScale Examples in Banking)
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24. Agenda
1. Where is AI today? How does it help businesses innovate?
2. How much is real and how much is marketing hype?
3. What are the practical applications of AI right now?
4. How can you best go about leveraging AI?
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25. How do I go about making my people faster, smarter, better with AI?
1. Start top down with business outcomes
Focus on business outcomes around a targeted “heat map”, deliver incremental capabilities
2. Build a culture of experimentation and learning
Experiment, pivot, and evolve. Test and measure business level outcomes in 90-day sprints
3. Pay for success vs Pray for success
Make small bets that deliver in weeks, no big-bang deployments, doubt vendor marketing claims
4. Lay Your Company’s AI Business foundation
Run three parallel tracks of Production, Innovation, Center of Excellence for Skills/Processes
5. Partner Smartly
Build a AI ecosystem not just an IT platform. Partner with nimbler companies
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26. Time is precious, figure out where to spend it
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Data Fabric
Intelligence Fabric
Experience Fabric
Cognitive Scale's AI Heat Map

27. Building the Prioritized Portfolio of AI Use Cases
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1
4
3
2
YOU
COGNITIVESCALE
ANALYSTS
ROADMAP
Your Client Business Units and Clients
CognitiveScale Industry Heat Map
Industry Reports, Analysts updates
Validated & Prioritized use cases for Execution

28. Why is AI adoption an imperative for you?
1. Your Customers Will Care
AI technology has already made an impact on our personal lives: Siri, Alexa, and
more. Before long, most customers will be able to discern between an AI-powered
interaction with a company and one that hasn’t made the leap.
2. Your Employees Will Care
The challenge of getting the most from your talent never ends. Enterprise AI moves
help daily work away from low-value repetitive tasks and toward delivering better
decisions sooner. Before long, future talent will be able to discern between AI-powered
employment opportunities and the traditional kind for a better career in the future.
3. Your Investors Will Care
All things being equal, companies with systems of connected intelligence and
engagement should lead to superior returns. Just like smarter, more informed people
tend to do better in life and like Amazon. Before long, investors will be able to discern
between those AI-enabled organizations and those that aren’t.
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29. Our AI Products are proven
• 42% increase in shopper engagement, 21% increase in conversion
• 8x increase in wealth advisor productivity
• 32% drop in trouble tickets and 50% increase in resolution time
• 8% drop in claims denial, 15% drop in claims administration costs
• > 90% invoice matching confidence rating
Our clients are global market leaders
• World’s largest department store
• World’s largest cancer center
• Worlds largest non-profit healthcare system
• World’s largest oil & gas company (Fortune #2)
• World’s second largest telecommunications company
• World’s most valuable bank
* Deloitte and IDC estimate market of Enterprise AI to be $40B by 2020 7
Strong investors and $50m+ in funding
Company Profile

30. CognitiveScale’s AI focus: Augmented Intelligence
20% of value
Highly noisy, feature companies
80% of value
Emerging, verticalized full stack
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31. A foundation for AI powered business processes
31
AI Powered Business
Processes, New Business
Models
Client’s
Cognitive Cloud
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32. Thank you!
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ENGAGE. AMPLIFY. WIN.
With our Industry Cognitive Clouds
Robert Golladay
Managing Director, Europe, CognitiveScale
golladay@cognitivescale.com