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Artificial Intelligence from the Business perspective

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What is AI from the Business perspective? In this presentation, Jen Stirrup discusses the 8 'C's of Artificial Intelligence from the business leadership perspective.

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Artificial Intelligence from the Business perspective

  1. 1. JenStirrup.com DataRelish.com http://bit.ly/JenStirrupRD http://bit.ly/JenStirrupLinkedIn http://bit.ly/JenStirrupMVP http://bit.ly/JenStirrupTwitter
  2. 2. WhatisAIandwhyisituseful? AI Leadership for Executives
  3. 3. •http://bit.ly/JenStirrupRD •http://bit.ly/JenStirrupLinkedIn •http://bit.ly/JenStirrupMVP •http://bit.ly/JenStirrupTwitter
  4. 4. JenStirrup.com DataRelish.com
  5. 5. http://bit.ly/JenStirrupRD http://bit.ly/JenStirrupLinkedIn http://bit.ly/JenStirrupMVP http://bit.ly/JenStirrupTwitter
  6. 6. AI • Imbuing computers with human-inspired thinking • Recognition between Marketing version of AI and AI in reality
  7. 7. deep learning at Microsoft • Microsoft Cognitive Services • Skype Translator • Cortana • Bing • HoloLens • Microsoft Research Microsoft Cognitive Toolkit
  8. 8. “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run” - Roy Amara
  9. 9. Customers Products Intelligent customer engagement Transformed products and operations Digital feedback loop People Customers ProductsData + Intelligence
  10. 10. Artificial Intelligence can offer businesses great opportunities. Ideas are developing into reality at accelerated rates.
  11. 11. What is the Red Queen’s Race? "It takes all the running you can do, to keep in the same place.Ifyou wanttogetsomewhereelse,you mustrunat leasttwiceasfastas that!"-TheRedQueen,ThroughtheLooking-Glass
  12. 12. https://www.success.com/blog/why-your-comfort-zone-is-the-most-dangerous-place-to-live
  13. 13. WhydoweneedAI?
  14. 14. Why do we need AI? • Customers • Compete • Capitalize • Create • Costs • Challenges • Calculate • Cognition
  15. 15. Conceptualizing AI • Gathering Information • What is happening now? • Understanding
  16. 16. Conceptualizing AI • Gathering Information • What is happening now? • Understanding
  17. 17. Image recognition • Deep Learning recognises objects in images • If you use technology such as Google Photos, you are likely using it every day
  18. 18. Rankbrain
  19. 19. Parsey McParseface
  20. 20. Conceptualizing AI • Gathering Information • What is happening now? • Understanding
  21. 21. Why speech recognition now? • Speech Recognition is everywhere • Increased accuracy led to increased uptake • Deep Learning has been instrumental
  22. 22. Speech recognition issues • Data representation of speech • Speech varies in speed • Process of training is iterative
  23. 23. Speech Recognition today • Requirement for high compute power • Model parallelism • Data parallelism
  24. 24. Speech recognition possibilities • Natural speech interface with computers • Translation of languages
  25. 25. Parsey McParseface • Speech Applications has impact in other domains such as search • Other players include Siri(Apple), Cortana(Microsoft), • Amazon Echo • Google Home
  26. 26. Speech recognition and AI? • Turing Test • Exploration of language
  27. 27. Machine to Human Scale Data
  28. 28. Data and The culture of now
  29. 29. NEW WAYS for new data
  30. 30. Lessons from the Human Brain
  31. 31. Deep Learning Lexicon • Scalar • Vector • Matrix • Tensor
  32. 32. Neural Networks • Neural network • Activation • Feedforward • Backpropagation • Convolved neural networks
  33. 33. App DataApp App App App App App App App App

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