IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014
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1) The document discusses IBM's Watson cognitive computing system and its applications. It provides an overview of IBM's Watson products and solutions for areas like decision making, discovery, customer engagement, and data exploration. 2) Key Watson applications highlighted include solutions for healthcare treatment, mechanical system repair, and airline management. Watson is also being applied to areas like pharmaceutical research, education, and publishing. 3) The document outlines IBM's vision of integrating cognitive computing capabilities like Watson throughout its data and analytics portfolio to enable insights from all types of data.
IBM Big Data Analytics - Cognitive Computing and Watson - Findability Day 2014
- 1. © 2014 IBM Corporation Arild Kristensen Nordic Sales Manager, Big Data Analytics Tlf.: +47 90532591 Email: arild.kristensen@no.ibm.com Watson, Big Data and cognitive computing
- 2. © 2014 2 IBM Corporation
- 3. Welcome to the Big Data Opportunity “The list of life's certainties has gotten longer. Along with death and taxes we can now include information overload.” © 2014 3 IBM Corporation
- 4. Big Data Is All Data Volume Variety Velocity Veracity Data at Scale Data in Many Forms Data in Motion Data Uncertainty © 2014 4 IBM Corporation
- 5. We Have Entered a New Era of Computing . . . Tabulating Systems Era Programmable Systems Era . . .Enabling New Opportunities and Outcomes © 2014 55 IBM Corporation 1900 1950 2011
- 6. Big Data Analytics And Natural Language Cognitive: The Next Wave of Disruptive Technology © 2014 6 IBM Corporation
- 7. Principles of Cognitive Computing CCCCooooggggnnnniiiittttiiiivvvveeee SSSSyyyysssstttteeeemmmmssss - Applying human-like characteristics to conveying and manipulating ideas, that when combined with the inherent strengths of digital computing can address problems with higher accuracy, more resilience, and on a massive scale over very large bodies of information WWWWaaaattttssssoooonnnn iiiissss aaaa CCCCooooggggnnnniiiittttiiiivvvveeee SSSSyyyysssstttteeeemmmm – Analyses human language to identify inferences between text passages – Can demonstrate human-like accuracy – Performs at speeds far faster, and at a scale far bigger, than a human © 2014 7 IBM Corporation
- 8. We are on a journey to Cognitive Computing © 2014 8 IBM Corporation
- 9. 2011 WATSON © 2014 9 IBM Corporation
- 10. Why We wanted to play Jeopardy grand challenge: can we build a computing system that rivals a human’s ability to quickly answer questions posed in natural language with speed, accuracy and confidence. © 2014 10 IBM Corporation
- 11. Watson in action During Jeopardy! © 2014 11 IBM Corporation
- 12. Watson combines transformational capabilities to deliver a new world experience using cognitive computing 1 2 Understands natural language and human style communication Adapts and learns from training, interaction, and outcomes Generates and evaluates evidence-based hypothesis 3 Watson: • Understands me • Engages me • Learns and improves over time • Helps me discover • Establishes trust • Has endless capacity for insight • Operates in a timely fashion © 2014 12 IBM Corporation
- 13. Announcing The Watson family - 2014 IBM Watson Advisors IBM Watson Solutions Bespoke solutions designed to meet some of industries most demanding needs leveraging cognitive capabilities IBM Watson Ecosystems The Watson Developer Cloud, Watson Content Store and Watson Talent Hub driving innovation from partners IBM Watson Foundations Products based on Watson’s core attributes and capabilities IBM Watson Cognitive Fabric Provides the big data and analytics capabilities that fuel Watson APIs, tools, methodologies, SDKs, and infrastructure that fuels Watson © 2014 13 IBM Corporation
- 14. Watson Decision Advisor Situations in which: Need more informed, evidence-based decisions Large body of data is available to draw upon For example: Clinical medicine treatment Mechanical system repair Airline capacity management 14 © 2014 14 IBM Corporation
- 15. Watson Decision Advisor helping oncologists treat cancer Business problem: Need better individualized cancer treatment plans Solution: • Evidence-based suggestions to inform oncologists’ decisions • Analyzes patient data against massive volumes of medical literature • Evolves with the fast-changing field Attacking the cause of ¼ of deaths WellPoint’s Interactive Care Insights for Oncology powered by IBM Watson © 2014 15 IBM Corporation
- 16. Watson Discovery Advisor • Helps Researchers discovery new insights by synthesizing information in seconds • Initial client focus in Pharma, Education and Publishing • Early Client Participants © 2014 16 IBM Corporation
- 17. Watson Engagement Advisor Helps organizations improve how they answer their clients’ needs 17 Engage under-engaged clients Grow top-line revenue Improve bottom line results © 2014 17 IBM Corporation
- 18. Watson Explorer • Find, extract and deliver content regardless of format or where the data resides • Helps improve the return on all types of information including: • Structured data in databases and data warehouses • Unstructured content such as documents and web pages • Semi-structured information such as XML © 2014 18 IBM Corporation
- 19. Watson Analytics • Enables anyone to independently discover new patterns to inform better decisions • Targeted horizontals: Sales and Marketing • Cloud-based model supports adoption for departmental groups by enabling quick startup and evaluation Just ask a question © 2014 19 IBM Corporation
- 20. This will be Watson going for Understands natural language Generates and evaluates hypotheses Adapts and learns Reasons Explores Visualizes Sees Hears Experiences © 2014 20 IBM Corporation
- 21. Watson Debating System © 2014 21 IBM Corporation
- 22. Imagine the possibility of leveraging all of your data assets Precise fraud risk detection Traditional Approach Structured, analytical, logical Understand and act on customer sentiment Data Warehouse Transaction Data Internal App Data Mainframe Data Structured Repeatable OLTP System Data Linear Traditional Sources ERP Data New Approach Low-latency network analysis Creative, holistic thought, intuition Multimedia Web Logs Social Data Predict and act on intent to purchase Hadoop Streams Unstructured Exploratory Text Data: emails Sensor data: images RFID Dynamic New Sources Data: Intimate, unstructured. Social, mobile, GPS, web, photos, video, email, logs Accurate and timely threat detection New ideas, new questions, new answers Data: rich, historical, private, structured customers, history, Transactions, financial.. The “Circle of Trust” Data warehouse business analytics moving closer to this data The real benefit is derived from integration of new data sources with traditional corporate data © 2014 22 IBM Corporation
- 23. A New Architectural Approach is Required Real-time Data Processing Analytics What is Landing, Exploration and Archive data zone Deep Analytics data zone What did EDW and data mart zone Operational data zone Information Integration Governance What action should I take? Decision management Systems Security On premise, Cloud, As a service Storage New/Enhanced Applications All Data happening? Discovery and exploration Why did it happen? Reporting and analysis I learn, what’s best? Cognitive What could happen? Predictive analytics and modeling © 2014 23 IBM Corporation
- 24. IBM Big Data Analytics (Watson Foundations) - One architecture that fits together Real-time processing analytics Exploration, landing and archive Trusted data BigInsights (Hadoop) Data Matching MDM InfoSphere Streams PureData SPSS Analytics PureData Operational Analytics Security Privacy DB2 Blu Metadata Lineage for Information Integration Governance Actionable insight Deep analytics modeling PureData for Analytics Reporting interactive analysis Decision management Cognos Predictive analytics and modeling Reporting, analysis, content analytics Cognos Discovery and exploration Operational systems DB2 Informix PureData for Transactions Information Integration DB2 Blu Lifecycle Management Watson Explorer DIRECT MOBILE Data types ONLINE CALL CENTER POINT OF COMMERCE Other Customer Data Sources, Communication Channels Personalized Campaign Mgmt Presence Zones Omni-Channel Shopping Fraud Mgmt Real-Time Information Deployment Virtual Inventory Cloud - SoftLayer BlueMix © 2014 24 IBM Corporation
- 25. Robert Lecklin IBM Sweden Nordic Sales Manager Big Data Analytics IBM Software Group Mobile: +46707935279 Information Management robert.lecklin@se.ibm.com www.ibmbigdatahub.com www.analyticszone.com © 2014 25 IBM Corporation