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Social Connections 14 - You Get What You Give

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Recording soon: http://pan.news/MKBZ30mvmCU
Abstract: Through the decades the goal of AI has been to allow companies to get better insights from unstructured big data. Essentially, work smarter, not necessarily harder. Why could Watson succeed where previous technologies have failed? And if so, does a dystopian future of man vs machine mean we are an ‘endangered’ species? Join us as we look at history to interpret the present and try to predict the future of collaboration the impact of A.I. in today’s workplace.

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Social Connections 14 - You Get What You Give

  1. 1. Berlin, October 16-17 2018 You Get What You GivePaul Withers, Intec Systems Ltd @paulswithers Luis Suarez, panagenda @elsua
  2. 2. PLATINUM SPONSORS GOLD SPONSORS BRONZE SPONSORS SILVER SPONSORS SPEEDSPONSORING BEER SPONSOR
  3. 3. Social Connections 14 Berlin, October 16-17 2018 Paul Withers • ICS Developer, Intec Systems • IBM Lifetime Champion • OpenNTF Board Member
  4. 4. Social Connections 14 Berlin, October 16-17 2018 Luis Suarez • Digital Transformation & Data Analytics Adviser - panagenda • IBM ICS Champion • http://elsua.net • http://twitter.com/elsua • http://www.linkedin.com/in/elsua
  5. 5. Social Connections 14 Berlin, October 16-17 2018 Why are we here today? Source - https://unsplash.com/photos/vLXdetEcB40
  6. 6. Social Connections 14 Berlin, October 16-17 2018 Is it because … • If 15% show high engagement, what about the “other” 85%? • 5% fluctuation * 1,000 employees = 50 * 43,000 = 2,150,000 EUR – Excluding side effects (i.e. think of losing sellers) •To reach optimal productivity, a new hire usually needs 3.5 years Source - http://bit.ly/GallupUKDisengaged
  7. 7. Social Connections 14 Berlin, October 16-17 2018 Or is it because? “For 70% of Executives, the accuracy of their data is what keeps them up at night.” (Forbes Insight) “Only one third of our decisions are correct.” (Martina Koederitz, IBM GM DACH) “We ignore about 80% of our data.” (Christoph Keese, Axel Springer AG) 80% Shadow IT Source: Frost & Sullivan 2013, GigaOM 2014 $330b Cost of Burnout per Year Source: WHO
  8. 8. Social Connections 14 Berlin, October 16-17 2018 Is this really us? Source - https://www.flickr.com/photos/49503168860@N01
  9. 9. Social Connections 14 Berlin, October 16-17 2018 What can we do? Engaged Not Engaged DIS-Engaged More information about Gallup and Q12® http://www.gallup.de/183104/engagement-index-deutschland.aspx
  10. 10. Social Connections 14 Berlin, October 16-17 2018 Can the machines (A.I.) save us? Source - http://bit.ly/2zYM6aA Source - https://twitter.com/timoreilly/status/983199489375653890
  11. 11. Social Connections 14 Berlin, October 16-17 2018 Maybe, maybe not! ‘I have had it with the stream of articles about what an “AI” can do. Yes, machine learning works. It is possible to analyze key words, correlate them with other key words, do a massive amount of statistics, and find out some stuff. People cannot do that and computers can. Is this AI? It sure isn't anything people can do, and it also doesn't correspond to anything I understand about what it means to be intelligent’. - Roger Schank (@rogerschank) Source - https://www.linkedin.com/pulse/ten-questions-ai-roger-schank To help understand “AI” it helps to understand “I” Source - https://www.linkedin.com/feed/update/urn:li:activity:6438037501369212928/
  12. 12. Social Connections 14 Berlin, October 16-17 2018 Don’t believe the hype around ‘A.I.’ Source - https://twitter.com/Cennydd/status/1019594285916794880
  13. 13. Social Connections 14 Berlin, October 16-17 2018 Instead, let’s focus on augmenting humans Source - https://www.gapingvoid.com/
  14. 14. Social Connections 14 Berlin, October 16-17 2018 And how do we do that…? Source - https://unsplash.com/photos/4-EeTnaC1S4
  15. 15. Social Connections 14 Berlin, October 16-17 2018 The Premise • AI uses insights from unstructured big data • But haven’t we heard this before? • Why will Watson (or A.N.Other) succeed where others failed? • If it does, are we an endangered species
  16. 16. Social Connections 14 Berlin, October 16-17 2018 Example 1: Autonomy
  17. 17. Social Connections 14 Berlin, October 16-17 2018 Autonomy • Autonomy Corp PLC  HP Autonomy • Founded 1996, Cambridge (England) • KM tools analysing unstructured big data
  18. 18. Social Connections 14 Berlin, October 16-17 2018 Case Study • Brought in by IT • Categorisation of MS Office docs company-wide • Intended to: • Advise users of similar documents • Advise users of experts
  19. 19. Social Connections 14 Berlin, October 16-17 2018 However… • Sample content needed loading, categorising, tagging etc • Required business knowledge not IT knowledge • Required business time • Required business buy-in
  20. 20. Social Connections 14 Berlin, October 16-17 2018 Example 2:
  21. 21. Social Connections 14 Berlin, October 16-17 2018 Evolution of AI
  22. 22. Social Connections 14 Berlin, October 16-17 2018 Post-War • Turochamp chess program (1948) • Turing test (1950)
  23. 23. Social Connections 14 Berlin, October 16-17 2018 Herbert Simon, Alan Newell (1955) • The Logic Theorist • Proved theorems from Principia Mathematica, rise of heuristics
  24. 24. Social Connections 14 Berlin, October 16-17 2018 Arthur Samuel, IBM (1959) • Coined the term “machine learning”
  25. 25. Social Connections 14 Berlin, October 16-17 2018 Moravec’s Paradox “It is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of a one-year- old when it comes to perception and mobility” Moravec, Hans (1988), Mind Children, Harvard University Press
  26. 26. Social Connections 14 Berlin, October 16-17 2018 What Is This?
  27. 27. Social Connections 14 Berlin, October 16-17 2018 • Deep Blue (1997) • Watson (2011) • AlphaGo (2016)
  28. 28. Social Connections 14 Berlin, October 16-17 2018 AI = Artificial Intelligence “That’s where all AI is today – capable of finding patterns in data with astonishing detail and sensitivity, but with no real understanding of what those patterns actually mean” The Joy of AI, BBC 4.1
  29. 29. Social Connections 14 Berlin, October 16-17 2018 AI Next “Somewhere between 18 months and 2 years old, children start doing something remarkable. Show them how to do things…even just once and they start practising it for themselves. This is called ‘one shot learning’. For computer scientists …this is like the holy grail.” The Joy of AI, BBC 4.1
  30. 30. Social Connections 14 Berlin, October 16-17 2018 Artificial Without Intelligence
  31. 31. Social Connections 14 Berlin, October 16-17 2018 Alexa… https://www.digitaltrends.com/home/funny-accidental-amazon-alexa-ordering-stories/
  32. 32. Social Connections 14 Berlin, October 16-17 2018 Watson Assistant Chatbot 01Code Intents (NLP), Entities (Structured Processing) and Dialog Flow 02“Try It”, review confidences and tweak it 03Deploy it 04Review conversations for weak understanding, incorrect understanding, incorrect flows and unanticipated flows
  33. 33. Social Connections 14 Berlin, October 16-17 2018 AI = Augmented Intelligence https://www.engadget.com/2018/07/27/ibm-watson-for- oncology-unsafe-treatment-plans-report/ https://gizmodo.com/ibm-watson-reportedly-recommended- cancer-treatments-tha-1827868882
  34. 34. Social Connections 14 Berlin, October 16-17 2018 Watson for Oncology • Watson reportedly suggested the man be administered both chemotherapy and the drug “Bevacizumab.” But the drug can lead to “severe or fatal hemorrhage,” • One doctor called it “a piece of shit” • “The report puts the blame on the IBM engineers and the Memorial Sloan Kettering (MSK) Cancer Center doctors who helped train the AI” • “[recommendation] was just a part of system testing”
  35. 35. Social Connections 14 Berlin, October 16-17 2018 Watson for Oncology • “the hospital still uses Watson's recommendations…[sees] them as an extra opinion when they can't agree on a treatment” • “we have learned and improved Watson Health based on continuous feedback from clients, new scientific evidence, and new cancers and treatment alternatives” • Watson for Oncology is trained to help oncologists treat 13 cancers and is being used by 230 hospitals around the world, and has “supported care for more than 84,000 patients.” • “No technology can replace a doctor and his or her knowledge about their individual patient.”
  36. 36. Social Connections 14 Berlin, October 16-17 2018 Or Can It? • Remember AlphaGo? • What if AI recommends the correct treatment for a reason a human can’t comprehend?
  37. 37. Social Connections 14 Berlin, October 16-17 2018 AI = Augmented Incompetence
  38. 38. Social Connections 14 Berlin, October 16-17 2018 And Are YOU Safe? https://www.perforce.com/blog/qac/will-ai- replace-programmers
  39. 39. PLATINUM SPONSORS GOLD SPONSORS BRONZE SPONSORS SILVER SPONSORS SPEEDSPONSORING BEER SPONSOR

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