Trends in content analytics


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How are analytics evolving, what do companies aspire to do in analytics, the new buzzwords, big data, cognition, DeepQA - perspectives

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Trends in content analytics

  1. 1. Findwise seminar 29.2.2012Trends in analyticsAnders Quitzau - innovationschef © 2012 IBM Corporation
  2. 2. What is happening out there?2
  3. 3. We  are  ushering  in  a  new  wave  of  innova.on Age 6th  Wave Age   of  IT  & of  Oil,  Cars Telecom Age   and  Mass   of  Steel,   Produc2on 5th  Wave Electricity and  Heavy   Engineering 4th  Wave SmarterInnova.on Age   of  Steam   3rd  Wave The   and  Railways  Products Industrial   § Instrumented,   Revolu2on 2nd  Wave interconnected,   and  intelligent 1st  Wave § Building  blocks   for  a  smarter  planet § Sustainability 1770 1830 1875 1920 1970 2010 *Source:    “Next  Genera2on  Green:  Tomorrow’s  Innova2on  Green  Business  Leaders”,  Business  Week,  Feb  4,  2008
  4. 4. 4
  5. 5. As the planet gets smarter, the information explosion and rapidchange create new challenges for CIOs 1.2 ZB 44x Projected growth rate for digital Size of the worlds total digital content in 20101 data from 2009 to 20201 (1 zettabyte = 1 billion terabytes) 22 billion 64 EB/mo Number of devices connected The volume of global Internet to the Internet by 20202 traffic expected by 20143 (1 exabyte = 1 million terabytes)Source: 1The Digital Universe - Are You Ready?, John Gantz and David Reinsel, IDC, May 2010 2Internet Connected Devices About to Pass the 5 Billion Milestone, IMS Research press release, August 16, 2010 3Cisco Visual Networking Index (VNI) : Global Mobile Data Traffic Forecast Update, 2009-2014, February 2010 © 2012 IBM Corporation
  6. 6. Predictive analytics, big data, social analytics, virtual assistants onGartners Hypecycle6 © 2012 IBM Corporation
  7. 7. Analytics is a major trend that will impact all business processes andtransforming the way decisions are made Types of Analytics Source: Forrester Trends in Analytics From To Offline / Back office Embedded / Realtime Detailed Reports Dashboards Historical Predictive Structured Unstructured Behind Firewall Cloud / Mobile 7 © 2012 IBM Corporation
  8. 8. The key will be to leverage information and analytics to enableinformed, real-time decisions at the point of impact The breakaway approach Sense and Predict and respond act Instinct and Real-time, Lack of insight intuition fact-driven Skilled analytics experts Everyone Inefficient access Point of Back office impact Inability to predict Automated Optimized Customer relations will require near real-time information and the ability to change on the fly, which will require innovation. – Energy and Utility CIO © 2012 IBM Corporation
  9. 9. We are crossing a threshold in our ability to produce information thatdelivers insight and drives action From To Disease treatment Disease prevention Intelligent highways Traffic management and cars Financial crime Fraud detection and fraud and prevention Informed exploration Speculative oil exploration and targeted drilling © 2012 IBM Corporation
  10. 10. Findwise seminar 29.2.2012Big data - analyticsAnders Quitzau - innovationschef © 2012 IBM Corporation
  11. 11. Every Smarter Planet Solution has Big Data and Needs Big Analytics Smarter Planet Faster Decisions Deeper Insights Real-time Awareness Predictive Models Reactive Analytics Deep Analytics Data in Motion Data at Rest Big Data11 © 2012 IBM Corporation
  12. 12. Smarter ComputingIntegrating new approaches such as Big Data will unlocknew insights. Traditional Approach New Approach Structured, analytical, logical Creative, holistic thought, intuition Structured Unstructured Repeatable Exploratory Linear Iterative Monthly sales reports Brand sentiment Profitability analysis Product strategy Customer surveys Maximum asset utilization10 © 2011 IBM Corporation
  13. 13. How will Content Analytics be like in2020? © 2012 IBM Corporation
  14. 14. New “Big Data” Brings New Opportunities, Requires New Analytics Exa Homeland Security 600,000 records/sec, 50B/day Up to 10,000 1-2 ms/decision Times 320TB for Deep Analytics Peta larger Data Scale Telco Promotions Tera 100,000 records/sec, 6B/day Data at Rest 10 ms/decision 270TB for Deep AnalyticsScaleData Giga DeepQA 100s GB for Deep Analytics Traditional Data 3 sec/decision Mega Warehouse and Business Intelligence Data in Up to 10,000 Motion times faster Smart Traffic Kilo 250K GPS probes/sec 630K segments/sec yr mo wk day hr min sec … ms µs 2 ms/decision, 4K vehicles Occasional Frequent Real-time Decision Frequency14 © 2012 IBM Corporation
  15. 15. Big Data Systems Require a Data-centric Architecture forPerformance Old Compute-centric Model New Data-centric Model Manycore FPGA out t put in pu Massive Parallelism Persistent Memory Flash Phase Change Data lives on disk and tape Data lives in persistent memory Move data to CPU as needed Many CPU’s surround and use Deep Storage Hierarchy Shallow/Flat Storage Hierarchy Largest change in system architecture since the System 360 Huge impact on hardware, systems software, and application design15 © 2012 IBM Corporation
  16. 16. Watson - IBMs DeepQA- den største IT-revolution siden transistoren © 2011 IBM Corporation
  17. 17. From the final match......17 © 2012 IBM Corporation
  18. 18. From battling humans at Jeopardy! to transforming business To compete at Jeopardy!, Watson-like capabilities canhumans and computers need to: now be applied to your business: Manage massive amounts ofTap into a broad, open domain of data from business operations clues and an instrumented world Deal with structured andParse complex human language unstructured data to gain meaningful insight into your business Be highly precise at finding the Have a high level of confidence answer and put a confidence in analytics to make key behind that answer business decisions Do all of that in under three Do it at the speed of business, in seconds real time18 © 2012 IBM Corporation
  19. 19. Watson’s analytics are more than search§ Web search returns a ranked list of ‘possible’ web pages containing the requested data ‣ Search engine results are based on popularity and page ranking; ‣ User must still analyze results – sift through a web page -- to find the best answer.§ Watson’s analytics understand the structure and wording of the question asked ‣ Finds a specific answer; ‣ Ranks its answer and provides a level of ‘confidence’ that this is correct based on previous experience.§ Watson answers ‘natural language’ questions ‣ May contain puns, slang, jargon and acronyms that must all be evaluated. © 2012 IBM Corporation
  20. 20. Announced Aug 18, 2011 - IBM has developed prototype of‘brainlike’ cognitive chip20 © 2012 IBM Corporation
  21. 21. Future Systems – The Learning Paradigm Society Nature Institutions Archives (Natural Interfaces) Training and Learning Engines To Build Models and Define Insight Policy Engine Active Learning Business, Legal and Ethical Rules Verification Engines Hypothesis Engines (e.g. Simulations) To Understand and Plan Actions Outcome Engine Actuation and Validation21 © 2012 IBM Corporation 60
  22. 22. Year 2020? © 2012 IBM Corporation
  23. 23. Prepare yourself and your organisation for wave!23 © 2012 IBM Corporation