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How to Design Product with Cognitive Computing and Big Data

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The presentation I have at the Chicago UD Meetup on Sept 22nd.

Published in: Data & Analytics
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How to Design Product with Cognitive Computing and Big Data

  1. 1. How to Design Products with Cognitive Computing and Big Data
  2. 2. Copyright 2016. rMark Bio, Inc.Copyright 2016. rMark Bio, Inc.
  3. 3. Industry Overview 01. Copyright 2016. rMark Bio, Inc.
  4. 4. Cognitive Computing Def. Copyright 2016. rMark Bio, Inc.
  5. 5. “Cognitive Computing makes context computable.” “Cognitive computing systems redefine the nature of the relationship between people and their increasingly pervasive digital environment.” “Their output may be prescriptive, suggestive, instructive, or simply entertaining.” Copyright 2016. rMark Bio, Inc. https://cognitivecomputingconsortium.com/resources/cognitive-computing-defined/#1467829079735-c0934399-599a
  6. 6. Attributes of Cognitive Computing? + Adaptive + Interactive + Iterative and stateful + Contextual Copyright 2016. rMark Bio, Inc. https://cognitivecomputingconsortium.com/resources/cognitive-computing-defined/#1467829079735-c0934399-599a
  7. 7. Cognitive Computing versus A.I. Cognitive learns and helps advise a user. Artificial Intelligence learns and does all the work. However… both have very similar properties. Copyright 2016. rMark Bio, Inc.
  8. 8. Big Data Approaches Def. Copyright 2016. rMark Bio, Inc.
  9. 9. Very specific criteria and you are trying to generalize to include more individuals like the ones that meet your specific criteria. (Who else is like me?) Top Down vs. Bottom Up start here > Copyright 2016. rMark Bio, Inc.
  10. 10. With a massive number of possibilities, you are trying to apply criteria to get to what matters most to you. (Filtered Search) Bottom Up vs. Top Down start here > Copyright 2016. rMark Bio, Inc.
  11. 11. Fidelity and Normalization Copyright 2016. rMark Bio, Inc.
  12. 12. Copyright 2016. rMark Bio, Inc. + The amount of data + The speed in which data is received. + The different types of data Volume Velocity Variety
  13. 13. Cognitive & Big Data Uses Def. Copyright 2016. rMark Bio, Inc.
  14. 14. Copyright 2016. rMark Bio, Inc. Text Mining Ability to search and identify key 
 information across hundreds of 
 disparate data types and sources. Copyright 2016. rMark Bio, Inc.
  15. 15. Copyright 2016. rMark Bio, Inc. Search here….
  16. 16. Copyright 2016. rMark Bio, Inc. Looking at who is in a network and 
 the type of influence they have. Influence Copyright 2016. rMark Bio, Inc.
  17. 17. Copyright 2016. rMark Bio, Inc. Because you like this…
  18. 18. Copyright 2016. rMark Bio, Inc. Rate and rank potential based on criteria. Scoring Copyright 2016. rMark Bio, Inc.
  19. 19. You like these types of songs… Copyright 2016. rMark Bio, Inc.
  20. 20. Copyright 2016. rMark Bio, Inc. Automatically group Users based on a plurality of attributes Categorization Copyright 2016. rMark Bio, Inc.
  21. 21. Copyright 2016. rMark Bio, Inc. Others like you also purchased…
  22. 22. Copyright 2016. rMark Bio, Inc. All of these techniques 
 provide similar value. Time 
 Savings Ease of 
 Identification New 
 Opportunities Copyright 2016. rMark Bio, Inc.
  23. 23. 02. Challenges for Product Designers
  24. 24. How do we find the sweet spot between 
 too much and too little information? Copyright 2016. rMark Bio, Inc. + Frequency + Details + Decisions
  25. 25. Copyright 2016. rMark Bio, Inc. Layered User Interface + Provide Access Contextual Data + Provide Additional Features
  26. 26. How do we enable the feeling of ah-ha? Copyright 2016. rMark Bio, Inc.
  27. 27. Copyright 2016. rMark Bio, Inc. Chat Bots + Interact with Users + Gain insights + Provide the “ah-ha” moment
  28. 28. How do we enable feedback to be meaningful, yet quick? Copyright 2016. rMark Bio, Inc.
  29. 29. Copyright 2016. rMark Bio, Inc. Widgets + Key insights in Contextual Data + Easily Extensible + Tap into Cognitive System for dynamic recommendations - IBM Watson, Microsoft and Google.
  30. 30. Closing Thoughts. 03.
  31. 31. Copyright 2016. rMark Bio, Inc. + Interfaces that changes with user needs. + Adapt dynamically based on usage patterns, Adaptable Interfaces
  32. 32. Copyright 2016. rMark Bio, Inc. Adaptable Interfaces + Interfaces that changes with user needs. + Adapt dynamically based on usage patterns,
  33. 33. Copyright 2016. rMark Bio, Inc. Adaptable Architecture http://www.ibm.com/developerworks/library/wa-uihealth/
  34. 34. Copyright 2016. rMark Bio, Inc. Adaptable Interfaces Research + Accommodating Individual Differences through an Adaptive User Interface by + David Benyon Computing dept., Open University + Adaptable User Interface Generation + Lawrence Chung, Dept. of Computer Science University of Texas + User Modeling and User-Adapted Interaction + Gerhard Fisher, Dept. of Computer Science University of Colorado
  35. 35. Copyright 2016. rMark Bio, Inc. Multi-faceted Teams + Teams combined with designers, application developers, platform developers and data scientists.
  36. 36. Thank you. @jasonmcsmith jason@rmarkbio.com

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