The document discusses artificial intelligence (AI) and Capgemini's approach to AI. It provides examples of how AI can be applied in different industries and business functions. It also outlines Capgemini's AI platform, principles, and offerings. Capgemini aims to help clients implement impactful and scalable AI solutions through a combination of technology, services, and ecosystem partnerships.

1. CW
IN
CAPGEMINI
WEEK OF
INNOVATION
NETWORKS
AI – Survival of the smartest
Yash Sowale, Chief Architect,
I & D Big Data Practice

2. CWIN © 2018 Capgemini. All rights reserved.
Definition of AI is broad..
Covering many component technologies

3. CWIN © 2018 Capgemini. All rights reserved.
Few questions to ponder for the smartest
• Where do you think AI will have the most impact?
• How can organizations realize the transformative impact of AI?
• What separates companies that make a success of AI from the laggards?
• How should organizations run AI initiatives – top-down or bottom-up?
• How do organizations get the right AI talent, and can they upskill their existing people?

4. AI is fundamentally transforming how firms conduct business
▪ Ability to develop clever partnerships with global
peers will be key to succeed
▪ A breadth and depth of asset offerings, portfolio
allocation, and technological superiority in big data
analytics and machine learning will be essential
Robo-Advisory
For Wealth
Management
business
▪ Microsoft is making big bets on chatbots, and so are
companies like Facebook (M), Apple (Siri), Google,
WeChat, and Slack
▪ A new wave of changes in how consumers interact with
services by consumer apps like Operator or x.ai, bot
platforms like Chatfuel, and bot libraries like Howdy’s
Botkit.
Chatbots
Conversational
Agents or Dialog
Systems
▪ Tata Consultancy Services has experienced a US$3 billion
productivity gain
▪ A pilot of the Infosys Automation Platform saw a 37 percent
productivity improvement and 17 percent people savings
▪ Wipro’s in-house artificial intelligence automation platform,
Holmes, redeployed approximately 1,000 employees to gain
greater efficiency
Shifting away from
human workers
To increase
productivity
Source: KPMG – Bots in the Back Office

5. A Venture Capitalist view of Artificial Intelligence Trends
Artificial Intelligence
Start-ups

6. 6© Capgemini 2018. All rights reserved |
Our offerings are based on 4 core guiding principles
1. Be impact-driven
✓ Solve client challenges.:
✓ Use cases gallery
✓ Prioritize right use cases for each client’s context
✓ AI services per Industry sector / Domain
2. AI at scale, going beyond the promising, ‘proof-of-concept’ phase and scale
to enterprise-wide transformation
✓ Strong data foundations with Data & AI industrialized, reliable Platforms
(AI Engineering)
✓ End-to-end managed services
✓ AI-driven transformation programs
3. AI Innovation with the ecosystem
✓ Close engineering relationships with strategic partners
✓ Integrate specialized AI players / startups, scaleups and academia
4. Be trusted, socially responsible and ethical
✓ Security, Privacy as core architecture design principles
✓ Ethics charter on use cases, transparency & explainability, as well as
potential bias detection

7. Artificial Intelligence Platform Reference Architecture
Interoperable services,
APIs, libraries,
frameworks and tools
that your enterprise can
leverage to build AI
applications
• Rapid Development
• Customizable Web
Services
• Scalable, Secured &
Compliant
• Intelligent Applications
• Tooling Choices Easy
Management &
Deployment using
DevOps

8. CIP-RA : AZURE NATIVE VIEW

9. 9
Applied AI at scale | Introducing the art of the possible, and beyond
Brick Recognition
A cognitive capability enabled mobile app that can consistently manage the
experience of a customer
looking for specialist help to identify bricks
Warehousing Drones
An AI based solution that automates inventory check, minimizing manual
effort and associated error.
Radiology Usage
An AI based system that studied radiology reports and associate medical
record to recommend optimal use of CT scan, minimizing radiology
exposure
Claims Processing
Cognitive application that “understands” information
from 1600 news feeds and reduces risk assessment time
by 70% and reduces the cost to serve individual claims

10. 10
Chatbots
Respond. Engage. Sell. Serve
Intelligent and cost effective chat bots used for driving improved service
and customer experiences
Satellite Imagery
Detect the planting and monitor the growth of young trees using Synthetic
Aperture Radar (SAR) satellite Images.
Pipeline Leak Detection
In-line inspection of construction, topographical, engineering, operational,
GIS, maintenance data enabling faster identification of integrity issues in
pipelines
Improving Road Quality
Identify road potholes from cars that ply along he route
and alert maintenance crews for rapid filling.
General
Corrosion
Shallow
Pitting
Lamination
Applied AI at scale | Introducing the art of the possible, and beyond

11. Application
Catalog
Data Catalog
Process
Catalog
Collaboration
Catalog
Federated Integration Services
Built-in
Security
Services
Overall
Management
& Monitoring
ServicesBig Data
services
Application
Services
Process
Services
Infrastructure
Services
Medical Things
Catalog
New value and change
enabled by the
platform
Rapid build on the
platform catalog
Enterprise scale
foundation
Connected to medical
technology ecosystem
Specialized Internet of
Medical Things
Hub
Industrialized
External Data
Hub
Flexible Legacy and
external applications
Hub
Accessible
External
collaboration hub
The “Omni”
Sauce
Cognitive
Computing
Artificial
Intelligence
Context Aware
Computing
Wisdom
Services (KM)
Ubiquitous
Computing
Case Study 1:Building Blocks for “GOD” Architecture that Capgemini is helping to build for a client
Omnipresence, Omnipotent and Omniscience
Augmented Intelligence
(For Humans)
Ambient
Intelligence

12. Case study 2: Deep dive on a Next Best Action Engine project
…In the minutes that I can engage the customer, what is the optimal interaction?
The Data Lake has all Customer accounts and marketing activities for every LOB of the bank, to form a complete 360/720 view
Problem Statement:
Top USA Bank required unbiased
guidance regarding a platform for
massive amounts of data and deep
learning development for marketing
genomes across all LOBs
Solution: GPU-Accelerated Platform
accessible by business analysts and
Python developers
Capgemini guided the data lake
architecture, marketing platform
requirements, evaluation and
Enterprise integration
“The Genome program targets
improved personalization for our
customers, driving better engagement
through tailored experiences, enabled
by a strong foundation in data and
insights”
Solution Summary
Data Transformation Analytical Processing Storage & Integration
Access data
Transform
Model inputs
Score customers
Customer
genomes
Store results
Integrate into
systems

13. 13
Assembly tasks are increasingly executed by people and machines in
collaboration.
Increasing complexity and shorter product cycles raise the likelihood
of assembly errors like parts in the wrong location and reduce the
detection rate in the respective work step.
Problems are detected to late and lead to delays and rework effort.
The feedback to the error source is delayed or not existent.
▪ One data scientist and one
data engineer
▪ Minor invest in systems
with open source and HW
Project effort:
Project duration:
Image Acquisition Build Models Define Actions321
Business Impact:
• Simple setup for camera and direct processing of the results on
the edge device allows for immediate response
• The detection is tolerant of environment changes due to focus on
relevant aspects
• Improved quality, reduction of damaged parts and rework
The relevant assembly procedures are monitored with a camera and
the images processed to detect assembly errors when they occur
and before they turn into failures.
Deep learning models for computer vision are used that allow
flexible detection of volatility errors in a non-static environment.
State-of-the-Art-technologies like Tensorflow and Keras are used to
maximize accuracy. Due to its machine-learning-based approach the
system improves the longer it´s active. Real-time performance is
achieved by GPU-accelerated edge hardware.
Feedback to the operator is given by visual and/or acoustic signals
Real Challenge
Implementation
Benefit
Case Assessment
Raise quality, reduce
damaged parts and costly
rework due to wrong
assembly
For up to four use cases
▪ 2 weeks first models
▪ 4 weeks enhancements
▪ 8 weeks Live-Integration
Industries:
Aerospace
Others
ElectronicAutomotive Manufacturing
Case Study 3: Deep dive on a Cognitive visual inspection project that achieves fast and astonishing results
using computer vision

14. 14
Our highly efficient Chatbot Team Client Use Cases
Software solution covered and WIP
Deployment:
On Cloud solution (AWS, Azure) or on Premise (choice of customer)
Access to Data Science/ advanced analytics experts
Integration with multiple
platforms:
Out of the box Api integration support
ITSM Service Bot – Q/A solution/ ticket creation / Live discussion based on
ServiceNow and LiveChat Solution
Shopping Assist Bot – suggest perfume for customer based on gender, location
and price alerts on promotion/reorder previous orders and barcode recognition and
purchase
Employee Assist Bot – retrieve invoice info from BackEnd text extraction file
solution/ filled information in HR solution
Oil & Gas Service Bot– create/update a service ticket
for an expert who is doing an expertise outside of office.
SharePoint Bot – fill and retrieve information from SP to know and update the
status on a site migration
Salesforce Bot – creating tickets, clients, updating
profiles and more via different channels
Cognitive Bot – face recognition/sentiment analysis/ traduction/text recognition
and extraction from email
Sample Chatbot experience
© Capgemini 2018. All rights reserved.
• Vendor Comparison
• Per Bot Pricing
• Bot Build Approach
• Bot Training Methodology

15. How to get on AI journey - Enable your Data Landscape for the Flood coming from Connected People
and Things
HU
RD
L
ES
HOWTOGETTHERE?
Expensive data storage.
Serious limitations on how much data
can be stored for later use
SOLUTIONS
Heavy dependence on pre-
defined data structures, based
only on current needs
Inability to address timing needs of
seconds or sub-seconds. Days and
weeks – not fast enough
No IoT No Social Media No Real-time Analytics
Provide deep insights, right at the
point of action, to drive
continuous business change,Save costs
Size matters sometimes
Landscape must ensure scale, agility and
availability. Remove current constraints in
volume, structure, availability and timing.
Adopt a step-by-step
approach:
Improve manageability
Decrease risks
To leverage the full
potential of Big Data,
transform the existing
estate
Data Optimization
Rationalizing and optimizing the
data assets.
Insights-driven Operations
Combining the strengths of two industry standard
environments
Enterprise Data
Hub Accelerator
Kick start your Big Data projects
Enterprise Data Management
Maximizing insight, value and
knowledge from unstructured information
Core Big Data Services
portfolio of tools and
techniques
Business Data Lake
Supporting enterprises in full transformation to the
new data landscape and governance
Transform your existing data
landscape with
next-gen technologies to
capitalize on the full potential
of Data, driving superior
business outcomes
LANDSCAPE

16. Unleash Data and Insights as-a-service
HURDLES
HOWTOGETTHERE? An end-to-end BI and
Big Data Analytics solution
Business and IT can get distracted, trying
to set up and run the new data landscape,
powering the insight-driven enterprise
SOLUTIONS
Flexible & robust suite of out-of-the-
box business analytical solutions
SMART Platform
Moving from artisanal practices to an
automated flow of insights
Insights-Platform-as-a-Service
New-age technologies require new skill sets
for running pilots, integration and testing.
And these skill sets are scarce within
organizations
Businesses are not willing to accept
excessive lead times and high
CAPEX. They want quick, powerful
insights now
▪ Platform & orchestration to bridge the digital needs of
the business and IT
▪ Eases complexities of infrastructure, integration, data
quality, security, costing, availability and management
▪ Is an enterprise-ready, integrated solution with a
continuously evolving catalog of services
Think outside-in: Start with the
catalog: Define the
most crucial insights you
want to deliver as a service
Consider buying instead of building:
Build the solution for delivery and ensure
it’s deployed step by step, creating early
results
An engine for change: Continuously evolve
the solution – enabling new business
capabilities – in a careful orchestration
between business and IT
Easy, fast, scalable and on-
demand – that’s how insights
should be delivered in the
digital era, without the hassle
of managing infrastructure,
and integration issues, and, of
course, while keeping CAPEX
low
PLATFORM

17. Empower your People with Insights at the Point of Action
HURDLES
HOWTOGETTHERE?
SOLUTIONS
Making the right insights available at
the right time at the right place to
the right person is critical
Organizations face the scarcity of data
science, deep sector knowledge &
technological expertise
Perception of the digital transformation
ambitions and challenges may not be
uniform across all business units
Understanding of how
insights can be seamlessly
integrated at the point of
action is rare
Enterprise Fraud
Management
Comprehensive enterprise-
wide anti-fraud solution
Risk Regulatory & Compliance
Embedding analytics in core
enterprise processes
Anomalous Behavior
Detection
Smart math to identify and stop
anomalous behavior
Make sure you leverage your market
and industry expertise at the business
side to select key Insights
Validate the value of your
selected Insights by piloting
them quickly – right at the
point of action
Never stop your quest for
insights: Build on your experience
to find more and better
opportunities
Identify insights to incite action on the spot to
drastically improve customer experience,
optimize operations and reinvent business
models
Enterprise Analytics
SpendSMART/Capgemini Smart
Asset Management
End-to-end asset
optimization using IoT insights
All organizations are a series
of decision points, both at the
macro and micro level.
Empower your people with
timely insights to make those
decisions better and
transform your business.
Mastering ‘Insights Inside’ is
the essence of
the journey.
INSIGHTS
CVA/CustomerSMART
ServiceSMART
More effective sales, marketing and
improved customer experience
People Analytics/
HRSMART
Flexible & robust suite of out-of-the-
box HR analytical solutions
Various Sector
Analytics
Sector specific
Insights at the
point of action

18. 18
Research and Thought leadership |The Capgemini AI 2018 Report
Turning AI into concrete value
Enterprises are
already using AI at
scale
1 in 3 companies implementing AI are doing so at scale
AI driving benefits across operations, sales, and customer service
AI is driving insights and creativity across organizations
In 4 out of 5 organizations, AI has created new job roles
Critical Success
Factors
Those with dedicated AI leader garner more benefits
Having Required data and skills is critical
Mature Governance and Leadership-driven AI improves success
People and Cultural issues are major challenges
Picking right AI Use
Cases key to
benefits
Many Organizations are tackling the toughest challenges first
Many Missing the opportunity around ‘must do’ use cases
Those focusing on ‘must do’ achieve greater benefits
A Capgemini study of nearly 1,000 organizations implementing AI highlights its growth opportunity
and counters fears about massive job loss in the short term.

19. With more than 190,000 people, Capgemini is present in over 40 countries and
celebrates its 50th Anniversary year in 2018. A global leader in consulting, technology
and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion.
Together with its clients, Capgemini creates and delivers business, technology and
digital solutions that fit their needs, enabling them to achieve innovation and
competitiveness. A deeply multicultural organization, Capgemini has developed its own
way of working, the Collaborative Business Experience™, and draws on Rightshore®, its
worldwide delivery model.
About Capgemini
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