SlideShare uma empresa Scribd logo
1 de 38
Baixar para ler offline
Build a Future with Ai
Jerry O’Brien
Cognitive Entrepreneur
President of the Boston
Machine Learning
Society
IBM Cloud & Cognitive
Evangelist
Origin's of Artificial Intelligence
Expert Systems
Statistical Learning
Contextual Adaptation
Programed rules system that
emulates the decision-making
ability of a human expert.
Finding a predictive function
based on data.
Systems construct exploratory
models for classes of real world
phenomena
Eliza, MIT, 1964
Self Driving Cars, 2004
Self Driving Cars, 2005
THE FUTURE
Statistical
Learning
"A computer program is said to learn from
experience E with respect to some class of tasks
T and performance measure P, if its performance
at tasks in T, as measured by P, improves with
experience E.”
~Tom Mitchell
Linear Algebra
Probability Theory
Statistics
Multivariate Calculus (Differentiation/gradients)
The biggest taxi company
owns no cars.
The largest accommodation company
owns no real estate.
The biggest media company
owns no content.
The largest retailer
carries no inventory.
Disruption is upon us.
This disruption is fueled by three forces.
The powerful capabilities and
outcomes brought on by
cognitive computing.
The ability to build
business in code with the
API economy.
The proliferation of different
types of data.
Oil & Gas
80,000 sensors in a facility
produce 15 petabytes of data
Public Safety
520 terabytes of data are produced
by New York City's surveillance cameras each day
Energy & Utilities
680m+ smart meters will produce
280 petabytes of data by 2017
Healthcare
The equivalent of 300 million books of health
related data is produced per human in a lifetime
Watson
Narrative
2010 2020
Sensors
& Devices
Text
Data
Images/
Multimedia
Gap
Enterprise Traditional
You are here
2017
>2.5PB
of customer data
stored by Walmart
every hour.
292 exabytes
of mobile traffic by
2019, up from 30
exabytes in 2014
1TB
of data produced by a
cancer patient every
day.
WE FACE AN OVERWHELMING AMOUNT OF DATA IN EVERY INDUSTRY
44 ZETTABYTES
1,200,000
lines of code in
a smartphone
80,000
lines of code in
a pacemaker
100,000,000
lines of code in
a new car
5,000,000
lines of code in
smart appliance
More devices are creating
more information.
Three capabilities differentiate cognitive systems from
traditional programmed computing systems…
Reasoning
They reason. They understand
underlying ideas and concepts. They
form hypothesis. They infer and extract
concepts.
Learning
They never stop learning getting more
valuable with time. Advancing with
each new piece of information,
interaction, and outcome. They
develop “expertise”.Understanding
Cognitive systems understand like
humans do.
…. allowing them to interact with humans.
Cognitive systems democratize
innovation by scaling knowledge.
Sensors Data Analytics Information Cognitive
Ingestion, Integration, Governance
Humans excel at:
Dilemmas
Compassion
Dreaming
Abstraction
Imagination
Morals
Generalization
Cognitive Systems
excel at:
Common Sense
Natural Language
Locating Knowledge
Pattern Identification
Machine Learning
Eliminate Bias
Endless Capacity
Cognitive systems forge a new partnership
between man and machine.
13©2016 IBM Corporation
of not knowing.
The price
Examples include:
Analyst reports
tweets
Wire tap transcripts
Battlefield docs
E-mails
Texts
Forensic reports
Newspapers
Blogs
Wiki
Court rulings
International crime database
Stolen vehicle data
Missing persons data
Data, information, and expertise create the
foundation.
Cognitive systems rely on collections of data
and information:
Complicated
Retrieve and Rank
Entity Extraction
Sentiment Analysis
Emotion Analysis (Beta)
Keyword Extraction
Concept Tagging
Taxonomy Classification
Author Extraction
Language Detection
Text Extraction
Microformats Parsing
Feed Detection
Linked Data Support
Concept Expansion
Concept Insights
Dialog
Document Conversion
Language Translation
Natural Language Classifier
Personality insights
Relationship Extraction
Retrieve and Rank
Tone Analyzer
Emotive Speech to Text
Text to Speech
Face Detection
Image Link Extraction
Image Tagging
Text Detection
Visual Insights
Visual Recognition
AlchemyData News
Tradeoff Analytics
50 underlying technologies
… then leverage Watson APIs to apply
cognitive capabilities.
Natural Language Cl
assifier
Tone Analyzer
Watson at work in the world.
"Woodside to tap into
IBM's Watson” - CIO
"IBM’s Watson Now Powers AI
For Under Armour”
- TechCrunch
"SoftBank's Pepper robot is getting an
intelligence boost from IBM's Watson"-
The Verge
"Medtronic, IBM team up on diabetes app to
predict possibly dangerous events hours
earlier."- The Washington Post
"IBM’s Watson Helped Pick Kia’s
Super Bowl ‘Influencers’”
- Wall Street Journal
"How Can I Help You? IBM's Watson
Powers Hilton's Robotic Concierge" -
Fast Company
"IBM and Apple can put Watson's
A.I. insights inside Apple Watch"-
ComputerWorld
"Thomson Reuters to deploy IBM
Watson technology”
- InfoTechLead
"IBM's Watson Lands A Job With
KPMG.” -InformationWeek
"The North Face Uses IBM's
Watson to Make Online Shopping
Smarter" -The Street
Watson at work in the world.
The market is validating the benefits of
cognitive.
“IBM Crafts a Role for Artificial
Intelligence in Medicine.”
“IBM Watson represents a bold
technological and visionary step”
“What is distinctive about IBM is the breadth
of its effort to create Watson tools … for a
wide range of developers.”
‘You can't do this without Watson. -Former Sun
CEO Scott McNealy. His startup, Wayin, uses
Watson to trawl and drag photos.
“The worldwide cognitive software platforms
market will grow to $30 billion by 2018, at a
CAGR”
IDC: Worldwide Cognitive Software Platforms Forecast, 2015-2019: The
Emergence of a New Market (#258781, September 2015, David
Schubmehl)
“[Watson] is specifically designed to support
the development of a broad range of enterprise
solutions.”
“No doubt, Watson has the means to radically
change the industry. “
IDC: IBM’s Go-to-Market Transformation – Deeper, Wider, Newer
(#AP257527, April 2015, Chris Zhang, Sabharinath Balasubramanian, Mayur
Sahni)
“IBM’s [Watson] can help banks with complex
financial operations and attack important
health care problems.”
“…it’s not just AI algorithms themselves that have
improved, but the ability to deliver them”
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Where do I start?
A Frame of Mind
Outcome
Outcome Workflow
Data
Decision
Outcome
• What Outcome am I predicting?
• What Question am I answering?
• Who needs to know?
• Where should it be known?
Outcome Workflow
Outcome
Outcome Workflow
• Where do I go for information?
• Who do I ask?
• How do I get it?
• What database do I query?
• What Outcome am I
predicting?
• What Question am I
answering?
• Who needs to know?
• Where should it be
known?
Data
Outcome
Outcome Workflow
Data
• What format is the information in?
• How is it Structured?
• Is it protected information?
• Where do I go for information?
• Who do I ask?
• How do I get it?
• What database do I query?
• What Outcome am I
predicting?
• What Question am I
answering?
• Who needs to know?
• Where should it be
known?
Example: Title Insurance Provider
Outcome
Outcome Workflow
Data
• What format is the
information in?
• How is it Structured?
• Is it protected information?
• Can I, Or Can’t I offer
Title Insurance?
• What Outcome am I
predicting?
• What Question am I
answering?
• Who needs to know?
• Where should it be
known?
Retrieve and Rank
Entity Extraction
Sentiment Analysis
Emotion Analysis (Beta)
Keyword Extraction
Concept Tagging
Taxonomy Classification
Author Extraction
Language Detection
Text Extraction
Microformats Parsing
Feed Detection
Linked Data Support
Concept Expansion
Concept Insights
Dialog
Document Conversion
Language Translation
Natural Language Classifier
Personality insights
Relationship Extraction
Retrieve and Rank
Tone Analyzer
Emotive Speech to Text
Text to Speech
Face Detection
Image Link Extraction
Image Tagging
Text Detection
Visual Insights
Visual Recognition
AlchemyData News
Tradeoff Analytics
50 underlying technologies
…and then leverage Watson APIs to
apply cognitive capabilities.
Natural Language Cl
assifier
Tone Analyzer
Watson
Narrative 27
What has been done with Ai?
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Watson
Speaks
Cognitive Chat-Bots for ERP
Conversation
Cognitive & General Motors
+
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Watson
Listens for
Answers
Cognitive Service
• Active listening along
side of the agent or
associate
• Natural language
understanding
• Real time location of
supporting documents
and data
Conversation Tone
Analyzer
Speech to
Text
Discovery
IBM Watson and Salesforce Einstein Integration
IBM Weather Insights for Salesforce
Bring The Weather Company’s meteorological data into Salesforce
with the Lightning component on the Salesforce AppExchange,
providing you with weather insights that inform customer interactions
and business performance.
IBM Watson and Salesforce Einstein Integration
Integrate IBM Watson APIs into Salesforce to bring predictive insights
from unstructured data inside or outside an enterprise, together with
predictive insights from customer data delivered by Salesforce
Einstein, enabling smarter, faster decisions across sales, service,
marketing, commerce and more.
© 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION
Watson
Understands
Watson is Listening
Develop persona related to
overall product category
Function First (41,800)
Fashion First (2770)
Flare Enthusiast (1470)
Style Me (3465)
Denim Diva (13,150)
Identify trending
styles based on
social mentions and
activity
Identify clusters with
positive sentiment towards
identified trend.
Watson becomes the Expert
30 years of knowledge, 75% faster
Now employees anywhere in the world can access 30
years of expertise and locate technical data to make
quicker, smarter, more fact-based decisions.
Watson ingested the equivalent of 38,000 Woodside
documents — this would take a human over five years to
read. Watson can read 800 Million pages per second.
Watson
Narrative 37
What will you do with Ai?
Watson
Narrative 38

Mais conteúdo relacionado

Mais procurados

5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should ReadBernard Marr
 
How can business professionals succeed in a future with AI
How can business professionals succeed in a future with AIHow can business professionals succeed in a future with AI
How can business professionals succeed in a future with AISemir Jahic
 
Issues on Artificial Intelligence and Future (Standards Perspective)
Issues on Artificial Intelligence  and Future (Standards Perspective)Issues on Artificial Intelligence  and Future (Standards Perspective)
Issues on Artificial Intelligence and Future (Standards Perspective)Seungyun Lee
 
Career Opportunities in Artificial Intelligence during the pandemic
Career Opportunities in Artificial Intelligence during the pandemicCareer Opportunities in Artificial Intelligence during the pandemic
Career Opportunities in Artificial Intelligence during the pandemicVenkatarangan Thirumalai
 
Artificial intelligence in practice- part-1
Artificial intelligence in practice- part-1Artificial intelligence in practice- part-1
Artificial intelligence in practice- part-1GMR Group
 
1621027 kim in_hong_bachelor_thesis_b_sc_no_sig
1621027 kim in_hong_bachelor_thesis_b_sc_no_sig1621027 kim in_hong_bachelor_thesis_b_sc_no_sig
1621027 kim in_hong_bachelor_thesis_b_sc_no_sigAsmaImran10
 
Introduction To Artificial Intelligence Powerpoint Presentation Slides
Introduction To Artificial Intelligence Powerpoint Presentation SlidesIntroduction To Artificial Intelligence Powerpoint Presentation Slides
Introduction To Artificial Intelligence Powerpoint Presentation SlidesSlideTeam
 
Artificial Intelligence: Predictions for 2017
Artificial Intelligence: Predictions for 2017Artificial Intelligence: Predictions for 2017
Artificial Intelligence: Predictions for 2017NVIDIA
 
Digital Marketing & Artificial Intelligence - Zenith 2016
Digital Marketing & Artificial Intelligence - Zenith 2016Digital Marketing & Artificial Intelligence - Zenith 2016
Digital Marketing & Artificial Intelligence - Zenith 2016MobileMoxie
 
How does A.I. really affect people ?
How does A.I. really affect people ?How does A.I. really affect people ?
How does A.I. really affect people ?Nakul Jayatsen
 
Intelligence Augmentation - The Next-Gen AI
Intelligence Augmentation - The Next-Gen AIIntelligence Augmentation - The Next-Gen AI
Intelligence Augmentation - The Next-Gen AIMelanie Cook
 
The Challenges and Opportunities of AI for the Indian Economy
The Challenges and Opportunities of AI for the Indian EconomyThe Challenges and Opportunities of AI for the Indian Economy
The Challenges and Opportunities of AI for the Indian EconomyDaniel Faggella
 
Will artificial intelligence replace programmers
Will artificial intelligence replace programmersWill artificial intelligence replace programmers
Will artificial intelligence replace programmersMaciej Dziergwa
 
Cognitive Computing.PDF
Cognitive Computing.PDFCognitive Computing.PDF
Cognitive Computing.PDFCharles Quincy
 
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...Bernard Marr
 
2019 ARTIFICIAL INTELLIGENCE SURVEY
 2019 ARTIFICIAL INTELLIGENCE SURVEY 2019 ARTIFICIAL INTELLIGENCE SURVEY
2019 ARTIFICIAL INTELLIGENCE SURVEYPeerasak C.
 

Mais procurados (20)

5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read
5 Important Artificial Intelligence Predictions (For 2019) Everyone Should Read
 
How can business professionals succeed in a future with AI
How can business professionals succeed in a future with AIHow can business professionals succeed in a future with AI
How can business professionals succeed in a future with AI
 
Unemployment due to AI
Unemployment due to AI Unemployment due to AI
Unemployment due to AI
 
Issues on Artificial Intelligence and Future (Standards Perspective)
Issues on Artificial Intelligence  and Future (Standards Perspective)Issues on Artificial Intelligence  and Future (Standards Perspective)
Issues on Artificial Intelligence and Future (Standards Perspective)
 
Career Opportunities in Artificial Intelligence during the pandemic
Career Opportunities in Artificial Intelligence during the pandemicCareer Opportunities in Artificial Intelligence during the pandemic
Career Opportunities in Artificial Intelligence during the pandemic
 
Artificial Intelligence in the startup world
Artificial Intelligence in the startup worldArtificial Intelligence in the startup world
Artificial Intelligence in the startup world
 
Artificial intelligence in practice- part-1
Artificial intelligence in practice- part-1Artificial intelligence in practice- part-1
Artificial intelligence in practice- part-1
 
Alt-Tech
Alt-TechAlt-Tech
Alt-Tech
 
1621027 kim in_hong_bachelor_thesis_b_sc_no_sig
1621027 kim in_hong_bachelor_thesis_b_sc_no_sig1621027 kim in_hong_bachelor_thesis_b_sc_no_sig
1621027 kim in_hong_bachelor_thesis_b_sc_no_sig
 
Introduction To Artificial Intelligence Powerpoint Presentation Slides
Introduction To Artificial Intelligence Powerpoint Presentation SlidesIntroduction To Artificial Intelligence Powerpoint Presentation Slides
Introduction To Artificial Intelligence Powerpoint Presentation Slides
 
Artificial Intelligence: Predictions for 2017
Artificial Intelligence: Predictions for 2017Artificial Intelligence: Predictions for 2017
Artificial Intelligence: Predictions for 2017
 
Digital Marketing & Artificial Intelligence - Zenith 2016
Digital Marketing & Artificial Intelligence - Zenith 2016Digital Marketing & Artificial Intelligence - Zenith 2016
Digital Marketing & Artificial Intelligence - Zenith 2016
 
How does A.I. really affect people ?
How does A.I. really affect people ?How does A.I. really affect people ?
How does A.I. really affect people ?
 
Intelligence Augmentation - The Next-Gen AI
Intelligence Augmentation - The Next-Gen AIIntelligence Augmentation - The Next-Gen AI
Intelligence Augmentation - The Next-Gen AI
 
Ai and bots
Ai and botsAi and bots
Ai and bots
 
The Challenges and Opportunities of AI for the Indian Economy
The Challenges and Opportunities of AI for the Indian EconomyThe Challenges and Opportunities of AI for the Indian Economy
The Challenges and Opportunities of AI for the Indian Economy
 
Will artificial intelligence replace programmers
Will artificial intelligence replace programmersWill artificial intelligence replace programmers
Will artificial intelligence replace programmers
 
Cognitive Computing.PDF
Cognitive Computing.PDFCognitive Computing.PDF
Cognitive Computing.PDF
 
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...
Artificial Intelligence In The Workplace: How AI Is Transforming Your Employe...
 
2019 ARTIFICIAL INTELLIGENCE SURVEY
 2019 ARTIFICIAL INTELLIGENCE SURVEY 2019 ARTIFICIAL INTELLIGENCE SURVEY
2019 ARTIFICIAL INTELLIGENCE SURVEY
 

Semelhante a Ai & ibm watson cookbook

1.0 nikos maniatis presentation
1.0 nikos maniatis presentation1.0 nikos maniatis presentation
1.0 nikos maniatis presentationtechnology_forum
 
Watson and Analytics
Watson and AnalyticsWatson and Analytics
Watson and AnalyticsJorge W. Hago
 
IoT + Machine Learning: Exploring Future Possibilities
IoT + Machine Learning: Exploring Future PossibilitiesIoT + Machine Learning: Exploring Future Possibilities
IoT + Machine Learning: Exploring Future PossibilitiesKaty Slemon
 
IBM Watson & Cognitive Computing - Tech In Asia 2016
IBM Watson & Cognitive Computing - Tech In Asia 2016IBM Watson & Cognitive Computing - Tech In Asia 2016
IBM Watson & Cognitive Computing - Tech In Asia 2016Nugroho Gito
 
Trends of AI in ITSM
Trends of AI in ITSMTrends of AI in ITSM
Trends of AI in ITSMJai Sharma
 
Introduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation SlidesIntroduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation SlidesSlideTeam
 
Hype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerHype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerLuminaryLabs1
 
AI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptx
AI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptxAI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptx
AI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptxAllamJayaPrakash
 
5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva Era5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva EraRoberto Villa
 
Intuition Engineered
Intuition EngineeredIntuition Engineered
Intuition EngineeredCognizant
 
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?Haluk Demirkan
 
Why analytics projects fail
Why analytics projects failWhy analytics projects fail
Why analytics projects failDr. Bülent Dal
 
Ai systems development
Ai systems developmentAi systems development
Ai systems developmentYashThakkar73
 
AI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptxAI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptxssuser9437e3
 
Cognitive Computing
Cognitive ComputingCognitive Computing
Cognitive ComputingPietro Leo
 

Semelhante a Ai & ibm watson cookbook (20)

1.0 nikos maniatis presentation
1.0 nikos maniatis presentation1.0 nikos maniatis presentation
1.0 nikos maniatis presentation
 
Watson and Analytics
Watson and AnalyticsWatson and Analytics
Watson and Analytics
 
Salesforce - AI for CRM
Salesforce - AI for CRMSalesforce - AI for CRM
Salesforce - AI for CRM
 
AI for CRM e-book
AI for CRM e-bookAI for CRM e-book
AI for CRM e-book
 
Deloitte disruption ahead IBM Watson
Deloitte disruption ahead IBM WatsonDeloitte disruption ahead IBM Watson
Deloitte disruption ahead IBM Watson
 
IoT + Machine Learning: Exploring Future Possibilities
IoT + Machine Learning: Exploring Future PossibilitiesIoT + Machine Learning: Exploring Future Possibilities
IoT + Machine Learning: Exploring Future Possibilities
 
IBM Watson & Cognitive Computing - Tech In Asia 2016
IBM Watson & Cognitive Computing - Tech In Asia 2016IBM Watson & Cognitive Computing - Tech In Asia 2016
IBM Watson & Cognitive Computing - Tech In Asia 2016
 
Trends of AI in ITSM
Trends of AI in ITSMTrends of AI in ITSM
Trends of AI in ITSM
 
Introduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation SlidesIntroduction To Artificial Intelligence PowerPoint Presentation Slides
Introduction To Artificial Intelligence PowerPoint Presentation Slides
 
Hype vs. Reality: The AI Explainer
Hype vs. Reality: The AI ExplainerHype vs. Reality: The AI Explainer
Hype vs. Reality: The AI Explainer
 
AI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptx
AI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptxAI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptx
AI_ML_aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaPresentation.pptx
 
Talk_AI_in_Africa
Talk_AI_in_AfricaTalk_AI_in_Africa
Talk_AI_in_Africa
 
5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva Era5 ”WHYs” of the Cognitiva Era
5 ”WHYs” of the Cognitiva Era
 
Intuition Engineered
Intuition EngineeredIntuition Engineered
Intuition Engineered
 
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?
WHY DO SO MANY ANALYTICS PROJECTS STILL FAIL?
 
Why analytics projects fail
Why analytics projects failWhy analytics projects fail
Why analytics projects fail
 
Ai systems development
Ai systems developmentAi systems development
Ai systems development
 
AI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptxAI & Innovation, Emerging trends & Future directions in AI.pptx
AI & Innovation, Emerging trends & Future directions in AI.pptx
 
Cognitive Computing
Cognitive ComputingCognitive Computing
Cognitive Computing
 
inte
inteinte
inte
 

Último

Top 10 Squarespace Development Companies
Top 10 Squarespace Development CompaniesTop 10 Squarespace Development Companies
Top 10 Squarespace Development CompaniesTopCSSGallery
 
Patch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updatePatch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updateadam112203
 
Graphene Quantum Dots-Based Composites for Biomedical Applications
Graphene Quantum Dots-Based Composites for  Biomedical ApplicationsGraphene Quantum Dots-Based Composites for  Biomedical Applications
Graphene Quantum Dots-Based Composites for Biomedical Applicationsnooralam814309
 
UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2DianaGray10
 
The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)codyslingerland1
 
From the origin to the future of Open Source model and business
From the origin to the future of  Open Source model and businessFrom the origin to the future of  Open Source model and business
From the origin to the future of Open Source model and businessFrancesco Corti
 
Automation Ops Series: Session 2 - Governance for UiPath projects
Automation Ops Series: Session 2 - Governance for UiPath projectsAutomation Ops Series: Session 2 - Governance for UiPath projects
Automation Ops Series: Session 2 - Governance for UiPath projectsDianaGray10
 
UiPath Studio Web workshop series - Day 1
UiPath Studio Web workshop series  - Day 1UiPath Studio Web workshop series  - Day 1
UiPath Studio Web workshop series - Day 1DianaGray10
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)IES VE
 
Scenario Library et REX Discover industry- and role- based scenarios
Scenario Library et REX Discover industry- and role- based scenariosScenario Library et REX Discover industry- and role- based scenarios
Scenario Library et REX Discover industry- and role- based scenariosErol GIRAUDY
 
.NET 8 ChatBot with Azure OpenAI Services.pptx
.NET 8 ChatBot with Azure OpenAI Services.pptx.NET 8 ChatBot with Azure OpenAI Services.pptx
.NET 8 ChatBot with Azure OpenAI Services.pptxHansamali Gamage
 
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveKeep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveIES VE
 
Extra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdfExtra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdfInfopole1
 
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechWebinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechProduct School
 
Explore the UiPath Community and ways you can benefit on your journey to auto...
Explore the UiPath Community and ways you can benefit on your journey to auto...Explore the UiPath Community and ways you can benefit on your journey to auto...
Explore the UiPath Community and ways you can benefit on your journey to auto...DianaGray10
 
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxGraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxNeo4j
 
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Alkin Tezuysal
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FESTBillieHyde
 
20140402 - Smart house demo kit
20140402 - Smart house demo kit20140402 - Smart house demo kit
20140402 - Smart house demo kitJamie (Taka) Wang
 

Último (20)

Top 10 Squarespace Development Companies
Top 10 Squarespace Development CompaniesTop 10 Squarespace Development Companies
Top 10 Squarespace Development Companies
 
Patch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 updatePatch notes explaining DISARM Version 1.4 update
Patch notes explaining DISARM Version 1.4 update
 
Graphene Quantum Dots-Based Composites for Biomedical Applications
Graphene Quantum Dots-Based Composites for  Biomedical ApplicationsGraphene Quantum Dots-Based Composites for  Biomedical Applications
Graphene Quantum Dots-Based Composites for Biomedical Applications
 
UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2UiPath Studio Web workshop series - Day 2
UiPath Studio Web workshop series - Day 2
 
The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)The New Cloud World Order Is FinOps (Slideshow)
The New Cloud World Order Is FinOps (Slideshow)
 
From the origin to the future of Open Source model and business
From the origin to the future of  Open Source model and businessFrom the origin to the future of  Open Source model and business
From the origin to the future of Open Source model and business
 
Automation Ops Series: Session 2 - Governance for UiPath projects
Automation Ops Series: Session 2 - Governance for UiPath projectsAutomation Ops Series: Session 2 - Governance for UiPath projects
Automation Ops Series: Session 2 - Governance for UiPath projects
 
UiPath Studio Web workshop series - Day 1
UiPath Studio Web workshop series  - Day 1UiPath Studio Web workshop series  - Day 1
UiPath Studio Web workshop series - Day 1
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)
 
Scenario Library et REX Discover industry- and role- based scenarios
Scenario Library et REX Discover industry- and role- based scenariosScenario Library et REX Discover industry- and role- based scenarios
Scenario Library et REX Discover industry- and role- based scenarios
 
.NET 8 ChatBot with Azure OpenAI Services.pptx
.NET 8 ChatBot with Azure OpenAI Services.pptx.NET 8 ChatBot with Azure OpenAI Services.pptx
.NET 8 ChatBot with Azure OpenAI Services.pptx
 
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES LiveKeep Your Finger on the Pulse of Your Building's Performance with IES Live
Keep Your Finger on the Pulse of Your Building's Performance with IES Live
 
SheDev 2024
SheDev 2024SheDev 2024
SheDev 2024
 
Extra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdfExtra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdf
 
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - TechWebinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
Webinar: The Art of Prioritizing Your Product Roadmap by AWS Sr PM - Tech
 
Explore the UiPath Community and ways you can benefit on your journey to auto...
Explore the UiPath Community and ways you can benefit on your journey to auto...Explore the UiPath Community and ways you can benefit on your journey to auto...
Explore the UiPath Community and ways you can benefit on your journey to auto...
 
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptxGraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
GraphSummit Copenhagen 2024 - Neo4j Vision and Roadmap.pptx
 
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FEST
 
20140402 - Smart house demo kit
20140402 - Smart house demo kit20140402 - Smart house demo kit
20140402 - Smart house demo kit
 

Ai & ibm watson cookbook

  • 1. Build a Future with Ai
  • 2. Jerry O’Brien Cognitive Entrepreneur President of the Boston Machine Learning Society IBM Cloud & Cognitive Evangelist
  • 3. Origin's of Artificial Intelligence Expert Systems Statistical Learning Contextual Adaptation Programed rules system that emulates the decision-making ability of a human expert. Finding a predictive function based on data. Systems construct exploratory models for classes of real world phenomena Eliza, MIT, 1964 Self Driving Cars, 2004 Self Driving Cars, 2005 THE FUTURE
  • 4. Statistical Learning "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.” ~Tom Mitchell Linear Algebra Probability Theory Statistics Multivariate Calculus (Differentiation/gradients)
  • 5. The biggest taxi company owns no cars. The largest accommodation company owns no real estate. The biggest media company owns no content. The largest retailer carries no inventory. Disruption is upon us.
  • 6. This disruption is fueled by three forces. The powerful capabilities and outcomes brought on by cognitive computing. The ability to build business in code with the API economy. The proliferation of different types of data.
  • 7. Oil & Gas 80,000 sensors in a facility produce 15 petabytes of data Public Safety 520 terabytes of data are produced by New York City's surveillance cameras each day Energy & Utilities 680m+ smart meters will produce 280 petabytes of data by 2017 Healthcare The equivalent of 300 million books of health related data is produced per human in a lifetime
  • 8. Watson Narrative 2010 2020 Sensors & Devices Text Data Images/ Multimedia Gap Enterprise Traditional You are here 2017 >2.5PB of customer data stored by Walmart every hour. 292 exabytes of mobile traffic by 2019, up from 30 exabytes in 2014 1TB of data produced by a cancer patient every day. WE FACE AN OVERWHELMING AMOUNT OF DATA IN EVERY INDUSTRY 44 ZETTABYTES
  • 9. 1,200,000 lines of code in a smartphone 80,000 lines of code in a pacemaker 100,000,000 lines of code in a new car 5,000,000 lines of code in smart appliance More devices are creating more information.
  • 10. Three capabilities differentiate cognitive systems from traditional programmed computing systems… Reasoning They reason. They understand underlying ideas and concepts. They form hypothesis. They infer and extract concepts. Learning They never stop learning getting more valuable with time. Advancing with each new piece of information, interaction, and outcome. They develop “expertise”.Understanding Cognitive systems understand like humans do. …. allowing them to interact with humans.
  • 11. Cognitive systems democratize innovation by scaling knowledge. Sensors Data Analytics Information Cognitive Ingestion, Integration, Governance
  • 12. Humans excel at: Dilemmas Compassion Dreaming Abstraction Imagination Morals Generalization Cognitive Systems excel at: Common Sense Natural Language Locating Knowledge Pattern Identification Machine Learning Eliminate Bias Endless Capacity Cognitive systems forge a new partnership between man and machine.
  • 13. 13©2016 IBM Corporation of not knowing. The price
  • 14. Examples include: Analyst reports tweets Wire tap transcripts Battlefield docs E-mails Texts Forensic reports Newspapers Blogs Wiki Court rulings International crime database Stolen vehicle data Missing persons data Data, information, and expertise create the foundation. Cognitive systems rely on collections of data and information:
  • 16. Retrieve and Rank Entity Extraction Sentiment Analysis Emotion Analysis (Beta) Keyword Extraction Concept Tagging Taxonomy Classification Author Extraction Language Detection Text Extraction Microformats Parsing Feed Detection Linked Data Support Concept Expansion Concept Insights Dialog Document Conversion Language Translation Natural Language Classifier Personality insights Relationship Extraction Retrieve and Rank Tone Analyzer Emotive Speech to Text Text to Speech Face Detection Image Link Extraction Image Tagging Text Detection Visual Insights Visual Recognition AlchemyData News Tradeoff Analytics 50 underlying technologies … then leverage Watson APIs to apply cognitive capabilities. Natural Language Cl assifier Tone Analyzer
  • 17. Watson at work in the world.
  • 18. "Woodside to tap into IBM's Watson” - CIO "IBM’s Watson Now Powers AI For Under Armour” - TechCrunch "SoftBank's Pepper robot is getting an intelligence boost from IBM's Watson"- The Verge "Medtronic, IBM team up on diabetes app to predict possibly dangerous events hours earlier."- The Washington Post "IBM’s Watson Helped Pick Kia’s Super Bowl ‘Influencers’” - Wall Street Journal "How Can I Help You? IBM's Watson Powers Hilton's Robotic Concierge" - Fast Company "IBM and Apple can put Watson's A.I. insights inside Apple Watch"- ComputerWorld "Thomson Reuters to deploy IBM Watson technology” - InfoTechLead "IBM's Watson Lands A Job With KPMG.” -InformationWeek "The North Face Uses IBM's Watson to Make Online Shopping Smarter" -The Street Watson at work in the world.
  • 19. The market is validating the benefits of cognitive. “IBM Crafts a Role for Artificial Intelligence in Medicine.” “IBM Watson represents a bold technological and visionary step” “What is distinctive about IBM is the breadth of its effort to create Watson tools … for a wide range of developers.” ‘You can't do this without Watson. -Former Sun CEO Scott McNealy. His startup, Wayin, uses Watson to trawl and drag photos. “The worldwide cognitive software platforms market will grow to $30 billion by 2018, at a CAGR” IDC: Worldwide Cognitive Software Platforms Forecast, 2015-2019: The Emergence of a New Market (#258781, September 2015, David Schubmehl) “[Watson] is specifically designed to support the development of a broad range of enterprise solutions.” “No doubt, Watson has the means to radically change the industry. “ IDC: IBM’s Go-to-Market Transformation – Deeper, Wider, Newer (#AP257527, April 2015, Chris Zhang, Sabharinath Balasubramanian, Mayur Sahni) “IBM’s [Watson] can help banks with complex financial operations and attack important health care problems.” “…it’s not just AI algorithms themselves that have improved, but the ability to deliver them”
  • 20. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Where do I start?
  • 21. A Frame of Mind Outcome Outcome Workflow Data
  • 22. Decision Outcome • What Outcome am I predicting? • What Question am I answering? • Who needs to know? • Where should it be known?
  • 23. Outcome Workflow Outcome Outcome Workflow • Where do I go for information? • Who do I ask? • How do I get it? • What database do I query? • What Outcome am I predicting? • What Question am I answering? • Who needs to know? • Where should it be known?
  • 24. Data Outcome Outcome Workflow Data • What format is the information in? • How is it Structured? • Is it protected information? • Where do I go for information? • Who do I ask? • How do I get it? • What database do I query? • What Outcome am I predicting? • What Question am I answering? • Who needs to know? • Where should it be known?
  • 25. Example: Title Insurance Provider Outcome Outcome Workflow Data • What format is the information in? • How is it Structured? • Is it protected information? • Can I, Or Can’t I offer Title Insurance? • What Outcome am I predicting? • What Question am I answering? • Who needs to know? • Where should it be known?
  • 26. Retrieve and Rank Entity Extraction Sentiment Analysis Emotion Analysis (Beta) Keyword Extraction Concept Tagging Taxonomy Classification Author Extraction Language Detection Text Extraction Microformats Parsing Feed Detection Linked Data Support Concept Expansion Concept Insights Dialog Document Conversion Language Translation Natural Language Classifier Personality insights Relationship Extraction Retrieve and Rank Tone Analyzer Emotive Speech to Text Text to Speech Face Detection Image Link Extraction Image Tagging Text Detection Visual Insights Visual Recognition AlchemyData News Tradeoff Analytics 50 underlying technologies …and then leverage Watson APIs to apply cognitive capabilities. Natural Language Cl assifier Tone Analyzer
  • 27. Watson Narrative 27 What has been done with Ai?
  • 28. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Watson Speaks
  • 29. Cognitive Chat-Bots for ERP Conversation
  • 31. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Watson Listens for Answers
  • 32. Cognitive Service • Active listening along side of the agent or associate • Natural language understanding • Real time location of supporting documents and data Conversation Tone Analyzer Speech to Text Discovery
  • 33. IBM Watson and Salesforce Einstein Integration IBM Weather Insights for Salesforce Bring The Weather Company’s meteorological data into Salesforce with the Lightning component on the Salesforce AppExchange, providing you with weather insights that inform customer interactions and business performance. IBM Watson and Salesforce Einstein Integration Integrate IBM Watson APIs into Salesforce to bring predictive insights from unstructured data inside or outside an enterprise, together with predictive insights from customer data delivered by Salesforce Einstein, enabling smarter, faster decisions across sales, service, marketing, commerce and more.
  • 34. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Watson Understands
  • 35. Watson is Listening Develop persona related to overall product category Function First (41,800) Fashion First (2770) Flare Enthusiast (1470) Style Me (3465) Denim Diva (13,150) Identify trending styles based on social mentions and activity Identify clusters with positive sentiment towards identified trend.
  • 36. Watson becomes the Expert 30 years of knowledge, 75% faster Now employees anywhere in the world can access 30 years of expertise and locate technical data to make quicker, smarter, more fact-based decisions. Watson ingested the equivalent of 38,000 Woodside documents — this would take a human over five years to read. Watson can read 800 Million pages per second.
  • 37. Watson Narrative 37 What will you do with Ai?