Innovare la relazione con i clienti nel retail
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Gianluca Maruzzella ed Enrico Bertino Indigo http://ndg.ai
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Innovare la relazione con i clienti nel retail
- 1. The Bots Revolution and how they will change customer experiences - forever www.ndg.ai Gianluca Maruzzella g@ndg.ai
- 5. Your brand
- 6. Why is this happening?
- 8. Your brand Your brand Your brand Your brand Your brand Your brand 1 1 1 1 1 1
- 9. AI can help businesses do the talking Immediately Effortless
- 12. Experience a bot right now Go to:ndg.ai/bot Press Chat Now 1 2
- 13. How it works?
- 16. Select the store
- 17. Save money finding the best offers
- 19. Save time checking store info
- 21. Experience a bot right now Go to:ndg.ai/bot Press Chat Now 1 2
- 22. Drive to store Targeted promotions Measurable results
- 24. COMMUNICATION
- 26. Don’t forget UX Start with basic needs Focus on conversations Use personalized interactions Build emotional connections 1
- 27. Start with basic needs Focus on conversations Don’t forget UX Use personalized interactions Build emotional connections 2
- 28. Focus on conversations Use personalized interactions Build emotional connections Don’t forget UX Start with basic needs 3
- 29. Use personalized interactions Build emotional connections Start with basic needs Focus on conversations Don’t forget UX 4
- 30. Build emotional connections Focus on conversations Use personalized interactions Start with basic needs Don’t forget UX 5
- 33. AI world Artificial Intelligence Machine Learning Deep Learning
- 34. Machine learning Supervised Learning Unsupervised Learning Reinforcement Learning
- 36. Supervised Learning Classification Say a bad word 0.1 0.9
- 37. Supervised Learning Intent Classification Training Label 1 Label 2 Label 1 Label 2 Label 1
- 39. Supervised Learning Classifiers Linear classifiers Quadratic classifiers Support Vector Machine Decision trees Random forest XGBoost Neural Networks
- 40. Unsupervised Learning Clustering Distance: hair length Man Woman
- 42. Reinforcement Learning Markov decision process
- 43. Reinforcement Learning Markov decision process 0.6 0.4 Go to the toilet Hold the pee
- 44. Reinforcement Learning Markov decision process +1 0.6 0.4 Go to the toilet Hold the pee 0 -1
- 45. Reinforcement Learning Information extraction ”Improving information extraction by acquiring external evidence with reinforcement learning.” [Narasimhan, Karthik, Adam Yala, and Regina Barzilay] arXiv preprint arXiv:1603.07954 (2016).
- 47. If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the cake. We know how to make the icing and the cherry, but we don’t know how to make the cake. Yann LeCun
- 49. Some of the latest news