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AI capabilities in-store

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How is AI used in the retail environment, can it increase efficiencies, prevent losses and support a better customer experience? We invite our customer to share their best practices.

Speaker:
Thierry Lefort

Veröffentlicht in: Technologie
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AI capabilities in-store

  1. 1. Human Centric Innovation Co-creation for Success © 2018 FUJITSU Fujitsu Forum 2018 #fujitsuforum
  2. 2. © 2018 FUJITSU AI capabilities in-store Thierry Lefort AI Product Manager, Fujitsu
  3. 3. 2 © 2018 FUJITSU Contents 1. Fujitsu’s global and local AI capabilities 2. What is Machine Learning? 3. Steps with clients 4. XpressWay for AI 5. Focus : Fraud Detection at the SCO
  4. 4. 3 © 2018 FUJITSU Fujitsu’s Global and local AI capabilities  Japan: • Fujitsu Labs (independent AI research) • Fujitsu Deep Learning Unit (Q3/2019)  EMEIA: • France: Centre of Excellence (CoE) for AI • Spain: Fujitsu Labs (independent AI research) • Ireland: Fujitsu Labs with a focus in drug development • Finland: Sector agnostic AI team with expertise in NLP and image recognition, among other things
  5. 5. 4 © 2018 FUJITSU 50 millions Investment 4 A joint research on Deep- learning technology with INRIA Research Center Center of Excellence focus on AI located at Ecole Polytechnique AI CoE R&D Collaboration with France’s leading technology companies Ecosystem
  6. 6. 5 © 2018 FUJITSU CoE 2 main missions Copyright 2018 FUJITSU LIMITED Develop new solutions for Fujitsu’s customers Localize Existing solutions from Fujitsu Japan 5
  7. 7. 6 © 2018 FUJITSU AI 4 Quality Control Control the quality of goods during all the manufacturing process using advanced AI technologies AI as a Service Consulting, time and material, bespoke solutions AI 4 Security Improve CCTV system to detect intrusion, accidents, aggressive behaviours, crowd movements, … AI 4 Retail Provide insights (vehicles counting and classification, people counting, heatmaps, …), purchases prediction, … 4 main Activities
  8. 8. 7 © 2018 FUJITSU Contents 1. Fujitsu’s global and local AI capabilities 2. What is Machine Learning? 3. Steps with clients 4. XpressWay for AI 5. Focus : Fraud Detection at the SCO
  9. 9. 8 © 2018 FUJITSU Data Engineering Raw Data Learning Data Test Data Algorithm Model Accuracy Machine Learning Process
  10. 10. 9 © 2018 FUJITSU  Assumption: The distribution of learning examples must be identical to the distribution of test examples (including future unseen examples).  In practice, this assumption is often violated to a certain degree  Strong violation will clearly result in poor accuracy  In order to achieve good accuracy you need a learning dataset representative of the test data  If your data are changing rapidly you’ll need to update your model accordingly Interpolation vs Extrapolation
  11. 11. 10 © 2018 FUJITSU Contents 1. Fujitsu’s global and local AI capabilities 2. What is Machine Learning? 3. Steps with clients 4. XpressWay for AI 5. Focus : Fraud Detection at the SCO
  12. 12. 11 © 2018 FUJITSU Steps with clients 1. Data strategy and engineering 2. Setting up required architectures 3. Data science 4. Make solutions consumable and actionable  What are the key business problems addressed by AI?  Where is the client today in terms of AI? How are they leveraging data?  What are the objectives?  What are the benefits of different AI solutions?  Hadoop, SQL, IoT, etc. for storing data  Goal should be up-to- date, accurate and clean data  Also includes setting up the data-flow model and end-user use cases  Data cleaning and visualization  Developing optimal AI/ML solutions in collaboration with client  Validation of achieved results  Maximize realized value for client  Ensure continued co-creation with client
  13. 13. 12 © 2018 FUJITSU Contents 1. Fujitsu’s global and local AI capabilities 2. What is Machine Learning? 3. Steps with clients 4. XpressWay for AI 5. Focus : Fraud Detection at the SCO
  14. 14. 13 © 2018 FUJITSU XpressWay for Artificial Intelligence Discover Consultation and collaboration AI roadmap and PoC proposal Prove Proof of concept Prove benefits and value Apply Integrate and pilot Deployment Evolve Continued co-creation Retain competitive edge Discover Prove Apply Evolve Understand your AI vision and strategy, as well as how that vision can be achieved Rapid development of identified AI solutions to prove viability and value to your organisation Pilot and deploy proven AI solutions and scale up similar AI solutions across the entire organisation Drive continued evolution of the identified AI services based on user and business needs Artificial Intelligence
  15. 15. 14 © 2018 FUJITSU Contents 1. Fujitsu’s global and local AI capabilities 2. What is Machine Learning? 3. Steps with clients 4. XpressWay for AI 5. Focus : Fraud Detection at the SCO
  16. 16. 15 © 2018 FUJITSU Focus : Fraud Detection at the SCO Select a usecase with a clear ROI Collect Data and Select Algorithms Integrate with existing Hardware Deploy massively
  17. 17. 16 © 2018 FUJITSU What does it look like?
  18. 18. 17 © 2018 FUJITSU How does it works? Step 1 • Integrate with existing Hardware • Add a PC with a camera inside the SCO • Capture the scan event Step 2 • Collect Data from the SCO • Every time a product is scanned take pictures Step 3 • Use Deeplearning to produce models of the visual aspects of the products Step 4 • Deploy the models inside the SCO • Every time a product is scanned apply the models to detect fraud
  19. 19. 18 © 2018 FUJITSU Contents 1. Fujitsu’s global and local AI capabilities 2. What is Machine Learning? 3. Steps with clients 4. XpressWay for AI 5. Focus : Fraud Detection at the SCO 6.Some Prototypes we are working on
  20. 20. 19 © 2018 FUJITSU Image Recognition
  21. 21. 20 © 2018 FUJITSU Queuing Analysis
  22. 22. 21 © 2018 FUJITSU Recognizing multiple products
  23. 23. 22 © 2018 FUJITSU Using OCR to Recognize Products
  24. 24. Fujitsu Sans Light – abcdefghijklmnopqrstuvwxyz ABCDEFGHIJKLMNOPQRSTUVWXYZ 0123456789 ¬!”£$%^&*()_+-=[]{};’#:@~,./<>?| ©¨~¡¢¤¥¦§¨ª«»¬- ®¯°±²³µ¶·¸¹º¼½¾¿ÀÁÂÃÄÅÇÈÆÉÊËÌÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûü ýþÿĐıŒœŠšŸŽžƒʼˆˇˉ˙˚˛˜˝·-‒–—―‘’‚“”„†‡•…‰‹›‾⁄⁰⁴⁵⁶⁷⁸⁹₀₁₂₃₄₅₆₇₈₉€™Ω→∂∆∏∑−√∞∫≈≠≤≥⋅■◊fifl Fujitsu Sans – abcdefghijklmnopqrstuvwxyz 0123456789 ¬!”£$%^&*()_+-=[]{};’#:@~,./<>?| ©¨~¡¢¤¥¦§¨ª«»¬- ®¯°±²³µ¶·¸¹º¼½¾¿ÀÁÂÃÄÅÇÈÆÉÊËÌÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúû üýþÿĐıŒœŠšŸŽžƒʼˆˇˉ˙˚˛˜˝·-‒–—―‘’‚“”„†‡•…‰‹›‾⁄⁰⁴⁵⁶⁷⁸⁹₀₁₂₃₄₅₆₇₈₉€™Ω→∂∆∏∑−√∞∫≈≠≤≥⋅■◊fifl Fujitsu Sans Medium – abcdefghijklmnopqrstuvwxyz 0123456789 ¬!”£$%^&*()_+- =[]{};’#:@~,./<>?| ©¨~¡¢¤¥¦§¨ª«»¬- ®¯°±²³µ¶·¸¹º¼½¾¿ÀÁÂÃÄÅÇÈÆÉÊËÌÍÎÏÐÑÒÓÔÕÖ×ØÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùú ûüýþÿĐıŒœŠšŸŽžƒʼˆˇˉ˙˚˛˜˝·-‒–— ―‘’‚“”„†‡•…‰‹›‾⁄⁰⁴⁵⁶⁷⁸⁹₀₁₂₃₄₅₆₇₈₉€™Ω→∂∆∏∑−√∞∫≈≠≤≥⋅■◊fifl

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