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Fintech Belgium Summit 2017 - Tech Impact - AI Google by Rache Karny

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Machine Learning as a catalyst for customer centricity by Rachel Karny

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Fintech Belgium Summit 2017 - Tech Impact - AI Google by Rache Karny

  1. 1. Machine learning as a catalyst for customer centricity Rachel Karny - Industry Manager Finance & Tech December 14th 2017
  2. 2. Proprietary + Confidential Large Datasets Good Models Lots of Computation Key to successful machine learning
  3. 3. Image recognition keeps getting better Chihuahua or muffin?
  4. 4. Confidential + Proprietary Google Lens
  5. 5. 5 Google Translate 5
  6. 6. Google Sheets
  7. 7. Google Photos
  8. 8. TensorFlow: Sharing our tools with researchers and developers around the world repository for “machine learning” category on GitHub #1 From: http://deliprao.com/archives/168
  9. 9. • Predictive inventory planning • Recommendation engines • Upsell and cross-channel marketing • Market segmentation and targeting • Customer ROI and lifetime value Retail • Alerts and diagnostics from real-time patient data • Disease identification and risk stratification • Patient triage optimization • Proactive health management • Healthcare provider sentiment analysis Healthcare and Life Sciences • Aircraft scheduling • Dynamic pricing • Social media – consumer feedback and interaction analysis • Customer complaint resolution • Traffic patterns and congestion management Travel and Hospitality • Customer service, chatbots • Risk analytics and regulation • Customer Segmentation • Cross-selling and up-selling • Sales and marketing campaign management • Credit worthiness evaluation Financial Services • Predictive maintenance or condition monitoring • Warranty reserve estimation • Propensity to buy • Demand forecasting • Process optimization • Telematics Manufacturing Machine Learning Use Cases • Power usage analytics • Seismic data processing • Carbon emissions and trading • Customer-specific pricing • Smart grid management • Energy demand and supply optimization Energy, Feedstock and Utilities
  10. 10. 5,000 training images for 500 cars Cloud ML: improved training performance 6x The largest real-time car auction service in Japan For 30K used car dealers The auction volume overs $3.7B every year Custom Image Classification
  11. 11. Finding ‘large loss’ car accidents ● About 7-10% of insured drivers cause a car accident every year. ● 1% of all car accidents require insurance payment over $10K ● Predict if a driver may cause a large loss case during the insurance period >$10K: 1% $100s-$1000s: 7-10% No accident: ~90%
  12. 12. Automated Customer service Building the smartest bots
  13. 13. Proprietary + Confidential News Junkie Age: 45-54 Close to Store Movie Lover Gender: Male Music Fan Travel Buff TV Lover Technophile Parent AI supporting reach of the right person, at the right moment, with the right message
  14. 14. "Kodak could not conceive of a world where someone wanted to take more than 48 pictures."
  15. 15. 15 Thank You!

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