Ml, AI and IBM Watson - 101 for Business

Machine Learning, Artificial Intelligence and IBM [email protected]

Cognitive Solution ArchitectCountry Technical Leader

Machine Learning morning TTY 21.2.2017

Agenda• What is IBM Watson• Benefits for Business• How to Get Started

© 2017 IBM [email protected]

IBM Watson in Different Industries Today

https://youtu.be/PujCkDAXji8© 2017 IBM [email protected]

Digitalisation

CloudSocial

Internet of Things

Mobile

CognitiveSecurity

Analytics

Cyber-Physical SystemsSmart Service Systems

Industry 4.0Servitisation


Why Cognitive Computing?

4V of Data(Volume, Variety, Velocity, Veracity)

Cap

abili

ty to

Cha

nge

Performance Gap

Opportunity…new ways of working, operating, thinking

Achievement…but riding by the constraints of limited capabilities, organization achievements would be at slower pace

Cognitivecomputing


What is a Biological Cognitive System?


Common capability: to use language for communicating and coordinating reasoning and interactions and the accumulation of knowledge for collectively better outcomes.

What is the Goal of Digital Cognitive Systems?

Artificial Intelligence = Machine Intelligence Augmented Intelligence =

Human Intelligence + Machine Intelligence


Star Trek: Mr Data Iron Man: Tony Stark & Jarvis

This is the Goal

An individual smart machine vs Man and machine co-operationCapability to use language with machines for coordinating and reasoning for better outcomes. Increases human intelligence by use and not diminish it.

We Need a New Way of Computing …

Tabulation

1900 - 1950 - 2011 -

Programmatic Era Cognitive Era

Traditional IT• Structured data (local)• Deterministic Applications• Machine Language• Systems of records

• Structured & unstructured (global)• Probabilistic Applications• Discovery Oriented• Natural Language• Systems of engagement

Industry Solutions

BusinessAnalytics

Big Data

Watson

Learn by example

Learn by programming

CloudComputing


IBM Watson Is a Cognitive System That…

99%60%10%

Understandsnatural language and human speech

Adapts and Learns from user selections and responses

Reasons for better outcomes

3

2

1


10

Contributing Technologies


When to Use Cognitive Computing?


• When problems are complex, information and situation are shifting, and outcome depends on context

• Diverse, changing data sources, including unstructured (text, images) • No clearly right answers: Data is complex and ambiguous, conflicting evidence • Ranked (confidence scored), multiple answers are preferred (alternatives) • Context dependent: time, user, location, point in task • Human-computer partnership and dialog are required

When NOT to Use Cognitive Computing?

• When predictable, repeatable results are required (e.g. sales reports) • When all data is structured, numeric and predictable

When a probabilistic approach is not desirable • When existing transactional systems are adequate • When interaction, especially in natural language, is not necessary


Watson Discovery APIWatson Retrieve and Rank API

Relationship Extraction

Conversation

LanguageDetection

PersonalityInsights

Keyword Extraction

Image LinkExtraction

Feed Detection

VisualRecognition

Concept Expansion

ConceptInsights

Discovery Sentiment Analysis

Text to Speech

Tradeoff Analytics

Natural LanguageClassifier

Author Extraction

Speech toText

Retrieve&

Rank

WatsonNews

LanguageTranslatio

n

EntityExtraction

Tone Analyzer

ConceptTagging

Taxonomy

TextExtraction

MessageResonance

ImageTagging

FaceDetection

Answer Generation

Usage Insights

Fusion Q&A

Video Augmentation

Decision Optimization

Knowledge Graph

Risk Stratification

Policy Identification

Emotion Analysis

Decision Support

Criteria Classification

Knowledge Canvas

Easy Adaptation

Knowledge Studio Service

Statistical Dialog

Q&A Qualification

Factoid Pipeline

CaseEvaluation

IBM BlueMix Watson APIs Watson has 29 APIs, more to come...

Natural Language Processing

Machine Learning

Question Analysis

Feature Engineering

Ontology Analysis

© 2017 IBM [email protected] LEGO bricks to build cognitive solutions

Benefits for Business


The Goals Why Cognitive Technology is Used


https://public.dhe.ibm.com/common/ssi/ecm/co/en/cow03020usen/COW03020USEN.PDF

Achieved Benefits


Examples


How to Get Started


Is This the Reality Today…


How to Get Started – Business Value Focused Increments

• The secret to getting ahead is getting started, and getting started is easier than you might think

• Cognitive technology adoption comes in all shapes and sizes, and most often starts relatively small

• What the most successful projects have in common, no matter how ambitious, is they begin with a clear view of what cognitive technology can and cannot do

• Consider how to leverage cognitive technology. Adoption only makes sense if it aligns with strategic priorities

• Your adoption strategy should support profitable outcomes like saving money, gaining customers or increasing revenue.


Why Should I be Interested?

• Unarguably ML, AI & cognitive technologies will have a key role in future society

• The technology is available today to start learning and gaining expertise

• Early adopters can leverage the window of opportunity


Resources


Get Started

https://developer.ibm.com/startups/


Ml, AI and IBM Watson - 101 for Business

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