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"H-factor Human Amplification". Talk at Social Media Week 2016 - Milan - Pietro Leo

  1. @pieroleo H  Factor  – Human  Amplification Pietro  Leo  – Executive  Architect  -­ IBM  Italy  CTO  for  Big  Data  Analytics  &  Watson IBM  Academy  of  Technology  Leadership  Team
  2. http://www.grushgamer.com/
  3. In  2015  63%   of  CEOs     will  increase   investment   in  digital,  it   is  a  matter   of  survive
  4. Investment   in  private     Fintech companies   increase  10x   in  past  5   years:  19B
  5. The  biggest   taxi  company   do  not  own   cars
  6. The  largest   accommodati on  company   owns  no  real   estates
  7. China  has  the   largest  e-­ commerce   volume  in  the   world:  $672B,   -­ 39%
  8. The  largest   media   company   owns  not   content
  9. Artificial   Intelligence   patents  have   more  than   tripled  in  10   years
  10. $700M  in   Venture  Capital   funding   Artificial   Intelligence   fields,  growing   50%  Y/Y
  11. 78%  of   executives  say   business    will   manage  people   along  side   machines
  12. 14 What is the behind? Digital Business + Digital Intelligence
  13. 15 You  shared   your  position   with  me  and   can  guess  your   mobility  need.   I  can  take  you   where  you  need   to  be Just  enjoy   your  new   experience.   Stay  safe   as  in  your   home I  know  what   is  needed   for  you,   even  before   you  order  it Please,  come   with  me  and   stay  by  me. I  know  your   content  I  can   take  care  of  all   your  digital  life
  14. 16 How is that possible?
  15. 17 Image  source:  http://personalexcellence.co/blog/ideal-­beauty/ City Lifestyle ZIPcode Costal  vs  Inland Marital  status Generation Location Family  Size Gender Income  Level Competitors Age Loyalty  &  Card Activity Revenue  Size Life  Stages Eductation Legal  status Sector Industry
  16. 18 Image  source:  http://personalexcellence.co/blog/ideal-­beauty/ City Lifestyle ZIPcode Costal  vs  Inland Marital  status Generation Location Family  Size Gender Income  Level Competitors Age Loyalty  &  Card Activity Revenue  Size Life  Stages Eductation Legal  status Sector Industry Subscriptions Date  on  Site Wish  List Size  of  Network Check-­ins App  usage  duration Number  of  Apps  on  Device Deposits/Withdrawals Device  Usage Purchase  History Following Followers Likes Number  of  Hashtags  used History  of  Hashtags Search  Strings  entered Sequence  of  visits Time/Day  log  in Time  spent  on  site Time  spent  on  page Frequency  of  Search Videos  Viewed Photos  liked
  17. 19 Image  source:  http://personalexcellence.co/blog/ideal-­beauty/ City Lifestyle ZIPcode Costal  vs  Inland Marital  status Generation Location Family  Size Gender Income  Level Competitors Age Loyalty  &  Card Activity Revenue  Size Life  Stages Eductation Legal  status Sector Industry Subscriptions Date  on  Site Wish  List Size  of  Network Check-­ins App  usage  duration Number  of  Apps  on  Device Deposits/Withdrawals Device  Usage Purchase  History Following Followers Likes Number  of  Hashtags  used History  of  Hashtags Search  Strings  entered Sequence  of  visits Time/Day  log  in Time  spent  on  site Time  spent  on  page Frequency  of  Search Videos  Viewed Photos  liked Sentiment Tone Euphemisms Hedonism Extroversion Face  Recognition Openess Colloquialism Reasoning  Strategies Language  Modeling Dialog Intent Latent  Semantic  Analysis Phonemes Ontology  Analysis Linguistics Image  Tags Question  Analysis Self-­transcendent Affective  Status
  18. Automating the World Understanding the World Main Technology Shift H-Factor
  19. Volume   Velocity Variety   Veracity Analytics Cloud Mobile Social CAMS BIG DATA System  of   Insights DATA WISDOM Knowledge Information Technology is not only supporting every kind of business, it is becoming part of it System  of   Records System  of   Engagement
  20. 22 We need wisdom to be helped to cope with cognitive overload
  21. 2011 2015 2016 -­ AlphaGO=3        Lee  Se-­Dol=1 1997 -­ IBM=2.5        Kasparov=2.5 1997 40 10 170 AlphaGO uses  self-­trained net  to  evaluate positions  and  moves on  30M  historical games DeepBlue uses  a  hard-­coded  objective  function   written  by  a  human  coupled  with  High   Performance  Computing 2016 10 10170 10 40 Applying or having wisdom in real world is not only an AI game
  22. 24 Wisdom is a Cognitive Task we apply naturally
  23. 25Salvador  Dalì -­ Impresiones  de  África  y  Afgano  invisible  con  aparición  sobre  la  playa  del  rostro  de  García  Lorca  en  forma  de  frutero  con  tres higos,  1938
  24. 26Salvador  Dalì -­ Impresiones  de  África  y  Afgano  invisible  con  aparición  sobre  la  playa  del  rostro  de  García  Lorca  en  forma  de  frutero  con  tres higos,  1938 Head /  Hill Muzzel /  River Collar /  Bridge Fruit Bowl /  Waterfall Table /  Beach Nose-­Mouth /  Back  Woman Hair /  Fruit /  Dog  Back Eye /  Shell
  25. 27 Wisdom is a matter of practice and expertise
  26. 28 28
  27. 29with WISDOM Observe InterpretDecide Evaluate The making of an expert.
  28. Cognitive Computing and IBM Watson scales expertise to expand what’s possible. Main IT challenge is now about the possibility to expand our Wisdom options Watson
  29. 31 Why we need an help as professionals and as individuals to cope with cognitive overload?
  30. 32 6 Terabytes 60% Exogenous Factors 1100 Terabytes Volume,  Variety,  Velocity,  Veracity: Educational  records,  Employment  Status,   Social  Security  Accounts,  Mental  Health   Records,  Caseworker  Files,  Fitbits,  Home   Monitoring  Systems,  and  more… 0.4 Terabytes Electronic  Medical  /  Health  Records,   Physician  Management  Systems,  Claims   Systems  and  more… 30% Genomics  Factors 10% Clinical  Factors IBM  Watson  Health //  SOURCE:  ©2015  J.M.  McGinnis  et  al.,  “The  Case  for  More  Active   Policy  Attention  to  Health  Promotion,”  Health  Affairs  21,  no.  2  (2002):78–93 A  vast  amount  of  untapped  data  could  have  a  great  impact  on  our  health   -­ yet  it  exists  outside  medical  systems. Data  Generated  per  Life
  31. 33 Cognitive  Overload:  Leveraging  the  Explosion  of  Data  for  an  Oncologist   – It  will  be  more  and  more  an  impossible  Task  Without  Wisdom 33 1000 Facts  per  Decision 10 100 1990 2000 2010 2020 Human  Cognitive  Capacity Electronic  Health  Records  (Clinical   Data) Internet  of  Things   (Exogenous  Data) The  Human  Genome  (Genomic   Data) Capturing  the  Value  of  Data
  32. Muscles at 40 All of us lose muscle and gain fat Eyes at 40 Range of sight declines Brain at 70 Cognitive decline accelerates Ears at 60 Hearing loss accelerates Low vision, blindness Motion disability, wounded people, rehab Cognitive disability, Dislexya, autism Deaf, low hearing, associated cognitive disability Source: Time Magazine Cognitive  Overload:  We  need  wisdom  to  live  longer  
  33. Toward  a  better  quality  of  life  sustained  by  a  Wisdom Health Care Advisors Financial Advisors Social Care Advisors Risk Advisors Quality of Life Advisors Mental Health Advisors Human Experience Advisors Wealth Preservation Fraud protection Transaction monitoring Home hazard monitoring Driving hazard monitoring Risk Elimination Safety & Security Mental capability modeling Medication compliance Reduced hospitalization Care coordination Mental Wellbeing Daily activity modeling Behavioral monitoring Extended Independence Optimized Living Financial   Services Insurance Government Providers Healthcare   Providers Family  &   Caregivers Hospitality Precision Medicine
  34. 36 Accessing to Watson technologies & Build
  35. Anaphoric  Co-­referencing Colloquialism  Processing Content  Management  -­-­ Versioning Convolutional  Neural  Networks Curation Deep  Learning Dialog  Framing Ellipses Embedded  Table  Processing Ensembles  and  Fusion Entity  Resolution Factoid  Answering Feature  Engineering Feature  Normalization Focus  and  Spurious  Phrase   Resolution HTML  Page  Analysis Image  Management Information  Retrieval Knowledge  (Property)  Graphs Knowledge  Answering Knowledge  Extraction  Annotators Knowledge  Validation  and   Extrapolation Language  Modeling Latent  Semantic  Analysis Learn  To  Rank Linguistic  Analysis Logical  Reasoning  Analysis Logistical  Regression Machine  Learning Multi-­Dimensional  Clustering Multilingual  training n-­Gram  Analysis  (word   combinations  and  distance) Ontology  Analysis Pareto  Analysis Passage  Answering PDF  Conversion Phoneme  Aggregation Question  Analysis Question-­answering  Reasoning   Strategies Recursive  Neural  Networks Rules  Processing Scalable  Search Similarity  Analytics Statistical  Language  Parsing Support  Vector  Machines Syllable  Analysis Table  Answering Visual  Analysis Visual  Rendering Voice  Synthesis These  APIs  are  underpinned  by   50  technologies: IBM  Watson  Services 2011 2015Source:  http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/services-­catalog.html
  36. IBM  Watson  Services 1. Watson  APIs  are   continuously.   2. They  are   complemented   with  tens  of  other   APIs  in  other   domains,  all   running  on  ONE   platform. 3. They  can  mashed   up  to  build  an   infinite  number  of   cognitive   assistants. 2011 2015 Pipeline
  37. Gain  insight into how and  why people think,  act,   and  feel the  way   they do.  This service  applies linguistic analytics and   personality theory to  infer attributes from  a   person's unstructured text Personality Insights
  38. IBM  Cloud   Computing   Platform Cognitive  Systems   &  Apps Watson   Ecosystem Watson
  39. Source:  http://www.equals3.ai/meetlucy
  40. @pieroleo Grazie! Pietro  Leo  – Executive  Architect  -­ IBM  Italy  CTO  for  Big  Data  Analytics  &  Watson IBM  Academy  of  Technology  Leadership  Team
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