AI JourneyDr. Chawki Tawbi

Analytics and Data Science Technical Leader

IBM – MEA

Agenda

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• AI and its evolution

• AI History and Definition

• IBM AI Capabilities

• AI Challenges

• The Role of Data

AI and its evolution

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The Fourth Industrial Revolution is upon us – an information era where we begin to scale human knowledge, with the help of AI systems

An explosion of what we can know

Witness Interviews

Wire tap

transcripts

Depositions

Incarceration

Records

Forensic lab

results

E-mails

And social media

Autopsy

reports

Travel

plans

Motor Vehicle

Violations

Analyst notes

Data is Interconnected – Being able to Link information will transform our Life

Audio

Video

Why AI Now!!

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Why AI NOW!!!

Combined Factors

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AI History and Definition

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History of Artificial Intelligence

Source: Preparing for the Future of Artificial Intelligence; The Executive Office of the President and National Science and Technology Council Committee on Technology; US Office of Science and Technology Policy , 2016

1974- 1980: 1st AI “Winter”

1950s 1960s 1970s 1980s 1990s

1956: “Birth” of AI

John McCarthy coins term

artificial intelligence (AI) at

Dartmouth Conference

1965: First Expert System

Stanford team led by Ed

Feigenbaum creates DENDRAL

1987- 1993: 2nd AI “Winter” 1950: Turing Test

Turing introduces way to

test for intelligent behavior

1990s: AI on www

AI-based extraction

programs prevalent on www

1997: Deep Blue

IBM Deep Blue defeats

World Chess Champion

2010s…

2011: IBM Watson

beats world champion

at Jeopardy!

1840s

1843: First Computer

Program

Ada Lovelace wrote the

first instructions for the first

computer program

Enabling computers with human-like intelligence has been a dream since the 1940’s.

First Social Robot

Dr. Cynthia Breazeal builds

Kismet, a social robot that

can recognize and simulate

emotions

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Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. It is also a field of study which tries to make computers "smart". John McCarthy came up with the name "artificial intelligence" in 1955.

Source: Wikipedia

What is Artificial Intelligence?Wikipedia Definition…

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IBM Definition: AI / cognitive systems will sense, reason and learn

REASON

They can reason, grasp underlying concepts, form hypotheses, and

infer and extract ideas.

UNDERSTAND

AI systems understand imagery, language and other unstructured data

like humans do.

LEARN

With each data point, interaction and outcome, they develop and sharpen expertise, so

they never stop learning.

INTERACT

With abilities to see, talk and hear, AI systems

interact with humans in a natural way.

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INTERNET & CLOUD

Image Classification Speech Recognition

Language Translation Language Processing Sentiment Analysis Recommendation

MEDICINE& BIOLOGY

Cancer Cell Detection Diabetic Grading Drug

Discovery

MEDIA & ENTERTAINMENT

Video Captioning Video Search Real Time

Translation

SECURITY & DEFENSE

Face Detection Video Surveillance Satellite

Imagery

AUTONOMOUS MACHINES

Pedestrian Detection Lane Tracking

Recognize Traffic Sign

AI Is Everywhere

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Forces Impacting the Evolution of AI

IBM AI Capabilities

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Language Speech Vision Data Insights

Cohort

Analytics

Alchemy Data

News

Trade-off

Analytics

Visual

Recognition

Alchemy Vision

Visual Insights

Text to Speech

Tone Analyzer

Speech to Text

Sentiment

Analysis

Message

Resonance

Retrieve & Rank

Entity

Extraction

Concept

Insights

Relationship

Extraction

Easy Adaption

Decision Support

Decision Optimization

Criteria Classification

Knowledge Canvas

Factoid Pipeline

Usage insights

Answer Generation

Video

Augmentation

Knowledge Studio

Image Tapping

Text Extraction

Entity Extraction

Image Link

Transaction

Language Detection

Statistical Dialog

Concept Tagging

Fusion Q&A

Risk Stratification

Policy Identification

Emotion Analysis

Case Evaluation

Taxonomy

Face Detection

Keyword Extraction

Author Extraction

A&A Qualification

Feed Detection

Personality

Insights

Language

Translation

Conversation

Question &

Answer

Natural

Language

Classifier

Advanced Analytics

Diarization

Capabilities of IBM AI include…

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IBM delivers an architecture engineered for disruption.

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Hybrid Cloud InfrastructureA highly scalable, security enabled infrastructure

DataTools to prepare data for cognitive

AICognitive building blocks for developers

Applications, solutions and services

Targeted solutions for enterprise businesses

Ingestion

ConversationAP

I

Storage Analytics Deployment Governance

Visual RecognitionA

PI

DiscoveryAP

I

SpeechAP

I

Compare and ComplyA

PI

Document ConversionA

PI

DLaaSAP

I

Nat Language UnderstandingA

PI Nat Language

ClassifierAP

I

ToneAnalyzerA

PI Personal

InsightAP

I

KnowledgeQueryA

PI

Cloud Integration

Networking SecurityCore Enterprise Infrastructure

CognitiveSystems

Virtual Servers

File StorageObject Storage

Cognitive Micro-services DevOps Tooling

WatsonOncology

WatsonCyber

SecurityWeather

IBM Services & Ind.

Solutions

WatsonVirtual Agent

Watson Explore and

Discover

IBM Risk and Compliance

Asset Mgmt. (Maximo)

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No AI without IA

“Information Architecture”

The AI Ladder

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3 platforms, 1 Information architecture

Analyze Datawith

Data Science& BusinessAnalytics

Collect Data with

Hybrid Data Management

Organize Data with

Unified Governance & Integration

AI

The “AI Ladder”

Machine Learning

Analytics

Data

IBM Analytics platforms makes data simple and accessible to enable the AI Ladder

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Extensible, Open API Platform Personalized, Collaborative Team Platform

App Developers Data Engineers Business Partners Data Scientists Data StewardsBusiness Analysts

Enterprise Data Catalog

Admin & Ops Dashboards, storage management, identity access management

Integrated Cloud-native Microservices

Organize Data• Data integration• Data curation• Governance & policies• Data asset lifecycle management

Analyze Data• Data visualization & exploration• Machine learning & deep learning• Model management & deployment• Dashboards & business reporting

Collect Data• Databases on-demand• Data warehousing• Fast data ingest• Federated query

Seamlessly integrated and governed platform

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AIunderstand, reason, learn

Predictive (What will happen?)predict, decide, act

Descriptive (What Happened)discover, report, analyze

Diagnostic (Why did it Happen?)

content Analytics

Prescriptive (What should we do?)

alternative actions

IBM can Deliver on the full AI/Analytics Spectrum

3 platforms, 1 I nformation architecture

Analyze Data

with

Data Science

& Business

Analytics

Collect Data with

Hybrid Data Management

Organize Data

with

Unified Governance

& I ntegration © 2018 IBM Corporation

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