Ai, IBM Watson External
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The document discusses the evolution and capabilities of artificial intelligence, particularly cognitive computing, highlighting its transformative impact on various industries. It emphasizes the vast amounts of data generated across fields like healthcare and public safety and the unique advantages cognitive systems have in reasoning, learning, and understanding. IBM's Watson is presented as a leading force in this space, demonstrating practical applications and market validation in sectors such as medicine, retail, and customer service.
![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”](https://image.slidesharecdn.com/aiibmwatsonexternal-170926162452/85/Ai-IBM-Watson-External-19-320.jpg)
Ai, IBM Watson External
- 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:
- 15. Complicated
- 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 Decision • What Outcome am I predicting? • What Question am I answering? • Who needs to know? • Where should it be known?
- 23. Outcome Workflow Decision 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 Decision 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 Decision 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 Watson?
- 28. © 2015 INTERNATIONAL BUSINESS MACHINES CORPORATION Watson Speaks
- 29. Cognitive Chat-Bots for ERP Conversation
- 30. Cognitive & General Motors +
- 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 Watson?