Présentation de Yann GOUEDO (IBM) au Tech Event Intelligence Artificielle de Telecom Valley - 14/12/17

1. IBM Cloud
How to help company's to find and
implement new sources of competitive
advantage
Through
Artificial Intelligence & Data Science?
Jeudi 14 décembre 2017
Yann Gouedo
Data Scientist Leader – Machine Learning / Artificial Intelligence
Marketing / Risk / Fraud / Maintenance
IBM Certified Senior Data Scientist & IBM Certified Senior Architect

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IBM Cloud

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IBM Cloud
Artificial Intelligence is Exponentially Taking Off
§ Cognitive computing, artificial intelligence, and machine
learning will become the fastest growing segments of software
development by the end of 2018; by 2021, 90% of
organizations will be incorporating cognitive/AI and machine
learning into new enterprise apps
Source: IDC
§ “Intelligent software
applications will become
commonplace. And
machine learning will
touch every industry.”
§ According to the
father of Artificial
Intelligence, John
McCarthy, it is
“The science and
engineering of
making intelligent
machines,
especially
intelligent
computer
programs”.
Source:Gartner
Source: Jeff Dean, Google Brain

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IBM Cloud
Augmented Human Intelligence

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IBM Cloud
Machine Learning
Machine Learning: Algorithms to parse data, learn from it, and then
make a determination or prediction about something in the world.
Regression
Linear regression
Logistic regression
…
Clustering
k-Means
Hierarchical
clustering …
Dimensionality
reduction
Principal
Component
Analysis …
Decision Tree
Random Forest
Markov Chain …
§ Supervised Learning
- Learning with a labelled training set
Example: email spam detector with training sets of already labelled
emails
§ Unsupervised learning
- Discovering patterns in unlabeled data
- Example: cluster similar documents based on text content
§ Reinforcement Learning
- Learning based on feedback or reward
Example: learn to play chess by winning or losing
Anomaly
Detection

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IBM Cloud
Machine Learning – Industry use cases
Insurance
• Claims Fraud
• Customer Retention
• Catastrophe Modeling
• Telematics
• Producer Effectiveness
Banking
• Optimize Offers and
Cross Sell
• Contact Center Efficiency
and Problem Resolution
• Payment Fraud
Detection & Investigation
• Counterparty Credit Risk
Management
Telco
• Pro-active Call Center
• Network Analytics
• Location Based Services
• IT/Network Infrastructure
Transformation
• Smarter Campaigns
Energy &
Utilities
• Smart Meter Analytics
• Distribution Load
Forecasting/Scheduling
• Condition Based
Maintenance
• Create & Target
Customer Offerings
Media &
Entertainment
• Business process
transformation
• Audience & Marketing
Optimization
• Multi-Channel
Enablement
• Digital commerce
optimization
Retail
• Actionable Customer
Insight
• Merchandise
Optimization Playbook
• Dynamic Pricing
Travel &
Transport
• Customer Analytics &
Loyalty Marketing
• Capacity & Pricing
Optimization
• Predictive Maintenance
Analytics
Consumer
Products
• Optimized Promotions
Effectiveness
• Micro-Market Campaign
Management
• Real Time Demand
Forecast
Government
• Threat Prediction and
Prevention
• Health and human
services fraud, waste &
abuse
• Tax compliance - fraud
and abuse
• Crime prevention and
prediction
Healthcare
• Measure & Act on
Population Health
• Engage Consumers in
their Healthcare
Automotive
• Data Warehouse
Optimization
• Predictive Asset
Optimization (PAO)
• Actionable Customer
Intelligence
• Connected vehicle
Life
Sciences
• Increase visibility into
drug safety and
effectiveness
Chemical &
Petroleum
• EDW Smart Consolidation
& Augmentation
• Operational Surveillance,
Analysis & Optimization
• Engineering & Operational
Data Exploration & Mining
Aerospace
& Defense
• Uniform Information
Access Platform
• Data Warehouse
Optimization
• Predictive Asset
Optimization (PAO)
Electronics /
Industrial
Products
• Channel Driven
Customer Analytics
(CDCA)
• Predictive Asset
Optimization (PAO)

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IBM Cloud
C’est l’heure du Quiz! Machine Learning
Question
What type of machine learning approach is clustering?
A) Cognitive Learning
B) Supervised Learning
C) Unsupervised Learning
D) Reinforcement Learning
Répondez vite en tweetant sur @TechConfQuiz

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IBM Cloud
Deep Learning
Deep Learning = Artificial Neural Networks are inspired by our understanding
of the biology of our brains – all those interconnections between the neurons
- Universal function estimator, without feature engineering
- Requires lots of training data
- Black box approach
§ Speech recognition
- Speech to text
- Sentiment analysis
§ Computer vision
- Object recognition
- Image tagging
- Image classification
§ Natural Language Processing
- Sentiment analysis
- Legal requirements analysis
- Chatbots
Deep Learning Framework
(Caffe, Torch, Theano, TensorFlow, etc.)
WatsonVisual
Recognition
API
WatsonNLU
API
WatsonTTS,ASR
API
WatsonTranslation
API
WatsonServices

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IBM Cloud
Through experience, exposure, and repetition, we learn
to perceive the world around us

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IBM Cloud
Deep Learning – Industry use cases
Automotive and
Transportation
Defense, Security,
Public Safety
Consumer Web,
Mobile, Retail
Medicine and
Biology
Broadcast, Media and
Entertainment
• Autonomous
driving:
• Pedestrian
detection
• Accident
avoidance
• Video
Surveillance
• Image analysis
• Facial
recognition and
detection
• Image tagging
• Speech recognition
• Natural language
processing
• Recommendation
and sentiment
analysis
• Drug discovery
• Diagnostic
assistance
• Cancer cell
detection
• Captioning
• Search
• Recommendations
• Real time translation

11. © 2017 IBM Corporation11
IBM CloudSpeeding customer
response times by 99
percent with IBM Watson
Autodesk was faced with the
challenge of scaling real-time
customer service and support after
shifting to a subscription-based
business model
With Watson, Autodesk created
a solution that supports 20,000
conversations per month and
recognizes 40 distinct use cases,
freeing agents to focus on customers
with complex issues
The solution cut resolution time from
1.5 days to just 5.4 minutes for most
inquiries
Conversation
Service
Natural Language
Understanding

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IBM Cloud

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IBM Cloud
C’est l’heure du Quiz! Deep Learning
Question
For unsupervised Learning, which of the following deep nets
would you choose?
A) Autoencoder or Restricted Boltzmann Machines
B) Deep Belief Nets
C) Convolutional Nets
D) Recurrent Nets
Répondez vite en tweetant sur @TechConfQuiz

14. An explosion of
what we can know
The Fourth
Industrial
Revolution is
upon us – an
information era
where we begin to
scale human
knowledge, with
the help of AI
systems

15. With Watson you
can harness the
power of
augmented
intelligence
Your data + the world’s data
Watson can ingest, cleanse, and comprehend
multiple data types. Build off your domain
expertise and the largest base of industry
offerings in the market.
Ingests + transforms
Apply a powerful suite of Watson services
and APIs to transform your data into valuable
insights. Watson is optimized for robust AI
workloads and lives on IBM Cloud.
Insights + outcomes
Watson extracts meaning to provide deep
insights and produces powerful outcomes.
Train your AI on what’s important to your
industry gain knowledge and make the most
informed, reasoned decisions.
StructuredUnstructured
Transform
Insights

16. Four capabilities differentiate
Watson from traditional
programmed computing systems
Reason
Watson reasons. It
understands underlying
ideas and concepts. It
forms hypotheses. It
infers and extracts
concepts.
Interact
With abilities to see, talk
and hear, Watson
interacts with humans in a
natural way.
Learn
Watson never stops
learning,
getting more valuable with
time. Advancing with each
new piece
of information, interaction
and outcome, it develops
“expertise.”
Understand
Watson understands like
humans do.

17. With Watson
You can_
Accelerate research and discovery
Conduct rigorous, domain-specific research
faster, uncovering insights and new opportunities
by combing through diverse data sources and
extracting the information you find most
important.
Detect liabilities and mitigate risk
Understand the written language of threat reports,
regulations, and new findings, keeping your business up
to date and shielding it from risk on all sides.
Recommend with confidence
Make more confident, targeted
recommendations by drawing from a broad set
of information and understanding the nuances of
your current context.
Scale expertise and learning
Elevate the expertise of every employee by collecting
individual knowhow from across your organization and
combining it with the latest lessons learned in your
industry, creating a deep source of tribal knowledge
that's available to all of your employees on-demand.
Enrich interactions
Understand and communicate with your
customers and employees around the clock,
responding to their needs with tailored dialogue
and personalized, adaptive experiences.
Assess and preempt disruptions
Monitor the condition of your systems and equipment at
all times, allowing you to catch potential issues before
they lead to bigger, more expensive problems down the
road.

18. Empathy
Conversation
Vision
Discovery
Speech
Language
Language
Translator
Personality
Insights
Natural
Language
Understanding
Tone
Analyzer
Discovery
News
Speech
to Text
Natural
Language
Classifier
Conversation
Service
Text
to Speech
Visual
Recognition
Discovery
Service
How Watson sees, hears,
speaks, feels, translates, finds
Watson services
Knowledge
Studio
Virtual Agent

19. C’est l’heure du Quiz! IBM Watson
Question
What Watson solution can answer common support
questions typically handled by a live agent?
A) Visual recognition
B) Natural Language Classifier and Dialog
C) Tone Analyzer and Natural Language Classifier
D) Language Translator and Personality Insights
Répondez vite en tweetant sur @TechConfQuiz

20. Remove silos
Collaborate between teams and across technologies
Discover new insights
Use multiple analytics technologies, like Watson’s
cognitive abilities, to quickly gain insights from data
and answer business questions — faster than any
other platform.
Build smarter applications
Deliver insights to production quickly, and
continuously improve them through rapid iteration.
So you can build smarter, scalable applications in
less time.
Watson Data Platform
Provides the persistence
layers to power your Al
app and get the most out
of your Watson services

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IBM Cloud
Administration :
• Installation
• Management
• Configuration
Deployment:
• Monitoring
• Applications
Tools:
• Open Source / GUI
• Data Management
• Dashboards
Collaboration :
• Projects
• Teams
• Versioning
• Sharing
• Assets
IBM Watson Data Platform - Data Science Experience
Data:
• Catalogs
• Metadata
• Formats
• Sources
datascience.ibm.com

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IBM Cloud
IBM Watson Data Platform - Tailored Experiences and User
Collaboration
Architects how data is
organized & ensures operability
Gets deep into the data to draw
hidden insights for the business
Works with data to apply insights
to the business strategy
Plugs into data and models &
writes code to build apps
Ingest
Data
Transform:
Clean
Create and
Build
Model
Evaluate
Deliver and
Deploy Model
Communicate
Results
Understand
Problem and
Domain
Explore and
Understand
Data
Transform:
Shape
OUTPUT
ANALYSIS
INPUT
Data Engineer
Data Scientist
Business Analyst
App Developer
Data Connect
Data Science Experience
Watson Analytics
IBM Cloud platform

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IBM Cloud

24. Solve your toughest business challenges
Put the power of Watson to work with solutions for
asset and facilities management, product
development, manufacturing, electronics,
automotive, insurance, and more.
The hub of your IoT solutions
With Watson IoT Platform, manage your IoT
landscape and make smarter, real-time, business
decisions. A secure, smart, scalable platform as the
hub of your IoT.
Secure and scalable
Start small and grow quickly. Find the tools and
services you need to connect, manage, analyze and
secure IoT devices and data using cognitive APIs,
Weather Company data, blockchain, and more.
Watson IoT
Use the power of
Watson IoT
Platform’s cognitive
engine to build
specialized,
integrated solutions
to solve your
industry and
business
challenges.

25. IBM delivers an architecture engineered for disruption
Cloud Infrastructure
A highly scalable, security
enabled infrastructure
Data
Tools to prepare data
for cognitive
AI
Cognitive building blocks for
developers
Applications, solutions
and services
Targeted solutions for
enterprise businesses
Conversation
Visual
Recognition
Discovery
Speech
Compare
and Comply
Document
Conversion
DLaaS
Nat Language
Understanding
Nat Language
Classifier
Tone
Analyzer
Personal
Insight
Knowledge
Query
Cloud Integration
Networking Security
Core Enterprise
Infrastructure
Cognitive
Systems
Virtual Servers File StorageObject Storage
Cognitive Micro-services DevOps Tooling
Watson
Oncology
Watson
Cyber
Security
Weather
IBM
Services and
Industry
Solutions
Watson
Virtual
Agent
Watson
Explore
and
Discover
IBM Risk
and
Compliance
Asset
Management
(Maximo)
Storage Analytics Deployment GovernanceIngestion

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IBM Cloud
Augmented Human Intelligence – Une passion partagée !
Merci !
E-mail: yann.gouedo@fr.ibm.com
Find me on:

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IBM Cloud

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IBM Cloud