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Smart Data - The Foundation for Better Business Outcomes

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This webinar will explore emerging technologies that enable a new generation of intelligent applications and enterprise systems. It will also act as a roadmap for evaluating and integrating these technologies and practices, and set the stage for our 2016 series of Smart Data webinars.

In the last few years, we have witnessed an AI renaissance with significant advances in areas such as machine-learning/deep learning, natural language processing, and biologically-inspired processor architectures. Simultaneously, the rise of the Industrial Internet of Things - which together with the “traditional” Internet form the Internet of Everything – foreshadows a connected world of smarter homes, cities, and even business relationships.

These “cognitive connections” are supported by advanced analytics and smart data. Join the discussion to see how you and your organization can benefit from getting started now.

Publicado en: Tecnología

Smart Data - The Foundation for Better Business Outcomes

  1. 1. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Smart Data - The Foundation for Better Business Outcomes Adrian Bowles, PhD Founder, STORM Insights, Inc. info@storminsights.com
  2. 2. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Smart Data - The Foundation for Better Business Outcomes 4 Major Themes for This Series Cognitive Computing Smart Data and the Internet of Things Smart Data Management Transforming Business with Smart Data
  3. 3. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. (c) 2015 by STORM Insights, Inc. Internet of Everything Analytics Smart Data Modern AI Cognitive Connections
  4. 4. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  5. 5. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  6. 6. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  7. 7. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  8. 8. Theme I. Cognitive Computing Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. “Cognitive computing is an approach to problem-solving using hardware or software that approximates the form or function of natural cognitive processes.”
  9. 9. 0. Foundation Experience- Based Learning 1. Learn 2. Interact 3. Expand Integrate Augmented/Virtual Reality Confidence- weighted Reporting Motivation reflection inference Natural Cognitive Processes deduction Hypothesis Generation &Testing reasoning Natural Language Processing Cloud … Analytics Data Management Neuromorphic Architectures Learning Perception A Framework for Cognitive Computing Copyright (c) 2015-2016 by STORM Insights Inc. All Rights reserved.
  10. 10. Machine Learning Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  11. 11. Human Sensors/ Systems Infrastructure Input Output Data Management Alt/Neuromorphic Hardware Professional Services Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Machine Learning Metamind IBM Ersatz Labs Scaled Inference Microsoft IP Soft Numenta Digital Reasoning Google Nervana Systems BigML Sentient Technologies VicariousSkymind wise.io Dato Kimera SystemsH2O LoopAI Labs AIBrain
  12. 12. Machine Learning Human Sensors/ Systems Infrastructure Input Output Visualization Narrative Generation Voice/NLP Video/Images Reports Gestures Emotions Text/NLP Surface Structured Data Surface Structured Data Reports Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Data Management Alt/Neuromorphic Hardware Professional Services
  13. 13. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Machine Learning Human Sensors/ Systems Infrastructure Input Output Voice/NLP Gestures Emotions Data Management Alt/Neuromorphic Hardware Professional Services Video/Images Text/NLP Surface Structured Data Surface Structured Data Reports
  14. 14. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Machine Learning Human Sensors/ Systems Infrastructure Input Output Visualization Narrative Generation Video/Images Reports Text/NLP Surface Structured Data Surface Structured Data Reports Data Management Alt/Neuromorphic Hardware Professional Services
  15. 15. Narrative Generation Voice/NLP Video/Images Gestures Emotions Text/NLP • Affectiva • BeyondVerbal • Emotient Apple! • Limbic • Nviso • Gridspace • IBM • Maluuba • MindMeld • Nuance • PopupArchive • Skymind • Viv Labs • Wit.ai • ABBYY • Altilia • Cortical.io • IBM • Kaypok • Luminoso • Maluuba • Wit.ai • BRS Labs • Clarifai • Dextro • Madbits (twitter) • Mindops • Skymind • Teradeep • Visenze • Narrative Science • OnlyBoth • APX Labs • EyeSight • GestureTek • LeapMotion • Nod • Intel Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Analytics/Visualization • 1010data • Adatao • Alpine Data Labs • Alteryx • Altilia • Angoss • Attivio • Birst • Civis Analytics • ClearStoryData • Connotate • Context Relevant • Dataiku • Datameer • Emerald Logic • Finch Computing 
 (was Synthos) • First Rain • ForeSee • Fractal Analytics • Guavus • IBM • indico • KNIME • KXEN (SAP) • LiftIgniter • MathWorks (Matlab) • Microsoft • Mu Sigma Nara Logics • NuTonian • Opera Solutions • Oracle • Palantir • Pentaho • Prediction IO • Predixion • Qliktech • Quid • Rapid Miner • Revolution Analytics(MSFT) • Salford Systems • SAP • SAS Institute • SiSense • Spark Beyond • Spotfire (Tibco) • StatSoft (Dell) • Teradata • Versium • Wolfram Mathematica • Yhat Data Management • Actian • Aerospike • Alation • Basho • Caspio • Cognizant Technology • Couchbase • CrowdFlower • CumuLogic • Data Bricks • DataRPM • DataStax • DataWeb, Inc. • DDN • diffbot • GigaSpaces • GridGain • Hortonworks • IBM • import io • kimono • MapR • MarkLogic • MongoDB • NeoTechnology • Oracle • Paxata • RainStor • SAP Alt/Neuromorphic Hardware • Artificial Learning • DWave • HRL Laboratories • IBM • Nervana Systems • Nvidia • Qualcomm • Teradeep
  16. 16. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Technology Builders App/System Builders Investors Consumers/Users Analytics/Insights as a Service Delivery is migrating to a service-oriented business model. “app store” models call for revenue sharing. Revenue/profit splits need to reflect current value so contracts should allow for changes to reflect market conditions. For paid subscription sites, buyers may place a premium on owning/ licensing results with personally identifiable data, or simply want perpetual access to results. This will drive new business models. Investors are driving this movement - no specific action recommended. Pay as you go analytics and CC services will be a big market. The insights gained during operation hold real value, so capturing them for future engagements should be a strategic goal. Analytics as a Service Insights as a Service Business Trend:
  17. 17. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Predictive analytics: the use of statistical algorithms and a set of assumptions - the model - to identify the likelihood of future outcomes or missing values based on patterns in historical data. Linear regression Logistic regression (categorical dependent variable) Time-series analysis Classification trees Decision trees… Historical Data Predicted Data Assumptions
  18. 18. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. • Identify the assumptions • Validate the assumptions THERE ARE ALWAYS ASSUMPTIONS…They are often wrong • Customers with common buying histories will have common buying futures • Past is prelude - if consumption of a commodity has been cyclical, it will remain cyclical • If we find a correlation in demand (beer/diapers) we can ignore causation Predictive analytics: the use of statistical algorithms and a set of assumptions - the model - to identify the likelihood of future outcomes or missing values based on patterns in historical data. If you’re not predicting, you’re just reporting
  19. 19. Theme II. Smart Data and the Internet of Things Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  20. 20. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. “The Internet of Things is the new Industrial Revolution.” Dr. John Bates, 11/17/2015
  21. 21. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  22. 22. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. When everything is connected… New sources of data emerge New sources of value emerge Old assumptions must be challenged The Impact of the IOT
  23. 23. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. IOT enables New technologies New models New ecosystems
  24. 24. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Intelligence can be Local to the device Distributed Aggregated
  25. 25. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Smarter Cities IOT Meets Cognitive
  26. 26. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Smarter Cities IOT Meets Cognitive
  27. 27. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Smarter Cities IOT Meets Cognitive
  28. 28. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Smarter Cities Collaborative Intelligence The Borg Lives!
  29. 29. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Citizens Government Public Sensors & Systems Open Data Open Knowledge Proprietary Knowledge Commercial Enterprises: Private Sensors & Systems Commercial Proprietary Data Government Proprietary Data Voluntary Involuntary - Includes social media Foundations of Cognitive Computing for Smarter Cities from Cognitive Computing and Big Data Analytics, Hurwitz, Kaufman & Bowles, 2015 IoT As a Cognitive Enabler
  30. 30. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Copyright (c) 2014 by Umbrellium Ltd.
  31. 31. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Copyright (c) 2014 by Umbrellium Ltd.
  32. 32. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Copyright (c) 2014 by Umbrellium Ltd.
  33. 33. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Copyright (c) 2014 by Umbrellium Ltd.
  34. 34. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Principle: The IOT creates high-value opportunities for low-latency applications. Example: Devices that can communicate with an individual (via mobile device, wearable, etc) can create value if they have the right information about the individual. From variable pricing of soda in a machine to suggesting a purchase to offering a discount if a customer walks past an item believed to be of interest, the applications need to be able to run the analytics in time to make a recommendation. Implication: Data needs to be close enough to process while the results are still valuable. Availability is critical.
  35. 35. Theme III. Smart Data Management Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  36. 36. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Two Things Nobody Tells You About Data… • All data is structured
 Google used a neural network with16,000 processors to search 10,000,000 images from YouTube to identify…cats. • Beliefs change, truth doesn’t Representing belief as fact will eventually trip up any system “Facts change in regular and mathematically understandable ways.” Samuel Arbesman, The Half-life of Facts, 2012, Penguin Books.
  37. 37. Copyright (c) 2014-2016 by STORM Insights Inc. All Rights reserved. Perception: obvious structure is easy to process… but most of the interesting stuff isn’t obvious to a computer.
  38. 38. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. 1952 DSM I 1968 DSM II Pervasive Developmental Disorder (PDD) Childhood onset PDD Infantile Autism Atypical Autism 1980 DSM III Taxonomies Evolve The History of Autism in the Diagnostic & Statistical Manual of the American Psychiatric Association Pervasive Developmental Disorder (PDD) PDD-NOS Autistic Disorder (Not Otherwise Specified) 1987 DSM III-R Pervasive Developmental Disorder (PDD) PDD-NOS Autistic Disorder Asperger Disorder Childhood Disintegrative Disorder Rett Syndrome 1994 DSM IV 2000 DSM IV-TR Autism Spectrum Disorder (ASD) 2013 DSMV
  39. 39. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  40. 40. Theme IV. Transforming Business with Smart Data Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  41. 41. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Cognitive Commerce The Bazaar e-commerce Retail Skill-based Standard-based Information-based Knowlege/Learning-based Exchange Models Time Buyer Value Your Opportunity Has Arrived
  42. 42. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Business Model Framework Biz Model Market Opportunity Revenue Model Delivery Mechanism Operational Keys Goods/Svcs Content (IP) Business Consumer Business Consumer Commerce Subsidy Consumer Data Ads Sponsors Sales Auctions Demographics Behavioral Psychographics Commissions Transaction fees Commissions Transaction fees English Dutch Reverse Commissions Transaction fees Strategy Creative/ Branding Technology Infrastructure COTS Applications Custom Apps
  43. 43. Copyright (c) 2015 by STORM Insights Inc. All Rights reserved. Do you have a good candidate app? Start with the hard questions! Do you have the skills? Do you have the data? Are your customers ready for probabilistic or non-deterministic answers? (can they deal with uncertainty and multiple possible answers?) Does anybody else have the data? Will NLP add value in the eyes of your customers? How important is it to be able to explain how the system got an answer or made a recommendation…? (medical diagnosis - HIGH, recommending a sweater, not so much) How important is it for the system to improve its performance over time? (vs consistent answers)
  44. 44. For more information: Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. adrian@storminsights.com Twitter @ajbowles Skype ajbowles
  45. 45. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Smart Data - The Foundation for Better Business Outcomes Upcoming Webinar Dates & Topics February 11 A Roadmap for Deploying Modern AI in Business
 Theme: Transforming Business with Smart Data March 10 Machine Learning Adoption Strategies Theme: Cognitive Computing April 14 Getting Started with Streaming Analytics and the IoT
 Theme: Smart Data and the Internet of Things May 12 Emerging Data Management Options: Graph Databases 
 Theme: Smart Data Management June 9 Sense and Sensors- From Perception to Personality to 
 Themes: Smart Data and the Internet of Things, Cognitive Computing adrian@storminsights.com Twitter @ajbowles Skype ajbowles

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