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Artificial Intelligence for Happiness of People

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n the age of IoT, sensors and network technology are being developed at a rapid pace, and through the use of wearable devices and robots, it is possible to obtain a huge volume of sensory data in a short period of time. AI has become essential for processing such volumes of data.
In the past, AI was developed for specific uses, meaning each application required specialized settings, development and optimization. Kazuo Yano led a project to develop artificial intelligence that can be used for multiple purposes: Hitachi AI Technology/H. This AI creates programs from data based on the objective set for each project, enabling it to find the optimal solution for any situation.
Yano also developed a sensor that obtains human behavioral data, and discovered that it could be used to measure people’s level of happiness. Based on the quantified happiness data, he proposed to employees behaviors at the workplace that could improve productivity, such as communication habits and time management. As such, Yano opened the door to new uses of big data for implementing improvements in the workplace. The Head Prize is awarded for his pioneering achievements in the field of AI and in expectation of further developments.

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Artificial Intelligence for Happiness of People

  1. 1. © Hitachi, Ltd. 2017. All rights reserved. Kazuo Yano Artificial Intelligence for Happiness of People PhD, IEEE Fellow Corporate Chief Scientist R & D Group, Hitachi, Ltd.
  2. 2. Changes We Face Now Demand 21st Century20th Century Supply Profit from Result Common infrastructure for life & society Diversified & short- term needs Massproduction at factory Customizationfor complex & unforeseen change Repeated standardized work for scaling Automatic customization & adaptationforscaling (byAI) 1st productivityrevolution Larger middle layer & environmental load 2© Hitachi, Ltd. 2017. All rights reserved. 2nd productivityrevolution Recoveryof middle-layer & environment
  3. 3. What We Really Need is To Face Changing, Diversified & Unforeseen Futures 3© Hitachi, Ltd. 2017. All rights reserved.
  4. 4. 4© Hitachi, Ltd. 2017. All rights reserved. From Rule-Oriented To Outcome-Oriented
  5. 5. © Hitachi, Ltd. 2017. All rights reserved. Conventional Rule-Oriented System Computer Program Code Business& Society Input Output Instruction Hypothesis Rigid Business& Society Input Output ・Sensor ・Camera ・Robot ・Wearable Big Data Automatic Learning from Facts Emerging Outcome-Oriented System Artificial Intelligence Flexible 5
  6. 6. 6© Hitachi, Ltd. 2017. All rights reserved. ・Issue 1 Start from Upper Business Objective (Outcome) ・Issue 2 Requires Limited Data ・Issue 3 Embrace the Existing Systems Business Requires
  7. 7. © Hitachi, Ltd. 2017. All rights reserved. System Existing System IT & Facility Outcome-Oriented System H A I Hitachi AI Technology Monitoring Control 7 Learns from data, adaptively grows, and gets the results ◆1 Outcome & in/out defined by humans ◆2 Without inputs of domain knowledge nor logic ◆3 Added-on to existing system
  8. 8. Demonstration
  9. 9. 動画デモ2 鉄棒
  10. 10. Learning the Intelligence from Life Alan Turing (1912-1954) John von Neumann (1903-1957) "Computing Machinery and Intelligence" (1950) "The General and Logical Theory of Automata" (1948) © Hitachi, Ltd. 2017. All rights reserved. 12
  11. 11. 13 A T G C D N A © Hitachi, Ltd. 2017. All rights reserved. 13
  12. 12. 14 Genetic Evolution Bold Neural Brain Cautious X
  13. 13. Leap Learning Input Table Function Automatic Discovery of Unexpected Factors (Patent Granted JP6067882 JP6082564) Compound Factors Seed ・Merchandize ・Shelf ・Employee Extract Important Factors Compound Factors Generation Weight Variables 1k~1M 3~1000 Seed 10~100 Input Output 15 © Hitachi, Ltd. 2017. All rights reserved. 15 Best of Both Worlds Genetic Evolution Neural Brain
  14. 14. 16 Warehouse
  15. 15. Checking & Packing Picking 17© Hitachi, Ltd. 2017. All rights reserved.
  16. 16. © Hitachi, Ltd. 2017. All rights reserved. System Existing WMS AI-Based Warehouse ManagementSystem A I Hitachi AI Technology/ H Monitoring Control 18 Learns from data, adaptively grows, and provides the results ◆1 Outcome is defined as “total work time” ◆2 No inputs of warehouse knowledge nor logic ◆3 Added-on to existing WMS system WMS = Warehouse Management System
  17. 17. 19© Hitachi, Ltd. 2017. Allrights reserved. Artificial Intelligence Helps Workers Optimize Work Orders Workers Help Artificial Intelligence Input a Variety of Data that Affect Outcome 8am 1am AI-Based Warehouse Management System Working & Learning Daily Added on Existing WMS with 8% Productivity Enhancement
  18. 18. 20
  19. 19. © Hitachi, Ltd. 2017. All rights reserved. System Existing ID-POS AI-Based Store ManagementSystem A I Hitachi AI Technology/ H Monitoring Control 21 Learns from data, adaptively grows, and provides the results ◆1 Outcome is defined as “sales per customer” ◆2 No inputs of store knowledge nor logic ◆3 Added-on to existing POS system POS = Point of Sales
  20. 20. Human vs. AI Rule: Increase customer sales based on 10-day data Artificial IntelligenceRetail Specialists(2 persons) Approach Interviewswith executive etc Use of domain knowledge Data only No domain knowledge Action POP ads for focusitems & item rearrangement Employee presence at hot spot Identified Result No sales increase confirmed Sales per customer was increased by 15% Computer with big data enhances business performance 22© Hitachi, Ltd. 2017. All rights reserved.
  21. 21. 23© Hitachi, Ltd. 2017. All rights reserved. Hot-Spot Employee Presence Enhanced Sales 100% 115%
  22. 22. 24 Railway 24© Hitachi, Ltd. 2017. All rights reserved.
  23. 23. System A I Monitoring Control Existing Railway Monitoring System AI-Based Railway Monitoring System Hitachi AI Technology/ H 25© Hitachi, Ltd. 2017. All rights reserved. Learns from data, adaptively grows, and provides the results ◆1 Outcome is defined as “Reducing Electricity” ◆2 No inputs of railway knowledge nor logic ◆3 Added-on to existing monitoring system
  24. 24. 5 10 15 20 25 30 35 40 45 50 0 50 100 150 200 250 5 10 15 20 25 30 35 40 45 50 0 1 2 3 4 5 6 7 8 9 5 10 15 20 25 30 35 40 45 50 0 50 100 150 200 250 5 10 15 20 25 30 35 40 45 50 0 1 2 3 4 5 6 7 8 9 26 AI Discovers Low-Power Operation ■Electricity 532kWh ■Occupancy 30% ■Electricity 654kWh ■Occupancy Full OperatingA OperatingB Notch OFF Distance Distance SpeedSpeed Command (Notch) Command (Notch) Optimized Operation Enables 14% Power Saving (Annual Prospect) © Hitachi, Ltd. 2017. All rights reserved.
  25. 25. PX High Pressure Pump (High Power) Pressure Monitor (Outcome) RO unit for Mixed Water RO unit UF unit Sea Water Sewage Mixed Water Desalinated Water Water Desalination System (Remix Water) 27 Water Plant: Electricity Saving 6% Saving in Electricity Cost
  26. 26. 28© Hitachi, Ltd. 2017. All rights reserved. Kabu.comutilizes Hitachi's AI for stock lending. 1000 types of data allow Hitachi'sAI for pricing as good as experts withmuch higher throughput. Stock Lending Kabu.com News Release 16.7.25
  27. 27. 29© Hitachi, Ltd. 2017. All rights reserved. Sumishin SBI Net Bankhas startedco-creation with Hitachifor credit scoring for loan. Credit Scoring for Loan News Release 16.9.30
  28. 28. 30 Fraud-TradeDetection at Tokyo Stock Exchange News Release 17.2.28
  29. 29. 31© Hitachi, Ltd. 2017. All rights reserved. ASKUL Corporation News Release 16.6.28 16.9.30E-Commerce Just-In-Time Delivery with Logistics Big Data Both by Hitachi AI Technology / H Customized Marketing with Purchase Big Data EC Marketing Lab
  30. 30. Multi-PurposeAI 14 Domains 57cases Hitachi AI Technology/H 32© Hitachi, Ltd. 2017. All rights reserved.
  31. 31. 33 Multi-PurposeAI has been Developed © Hitachi, Ltd. 2017. All rights reserved. Special-Purpose AI Multiple-Purpose AI Independent Softwareis Developed for each Problem The Same Software is Used for a Variety of Problems ・Retail Recommend Order Delivery ・Finance Recommend Sales Assignment FraudDetection EmployeeEngagement Example ・Retail Recommend ・Ads Web Search ・Telephone VoiceRecognition ・Communication MachineTranslation ・Medical Q &A ・Car Auto-Drive Example
  32. 32. 34© Hitachi, Ltd. 2017. All rights reserved. 1. Outcome (KPI) Quantified 2. AI-assisted Actions Needed 3. Data for Conditions Recorded Three Conditions
  33. 33. Evolution of AI 35© Hitachi, Ltd. 2017. All rights reserved. Level 1 Special-Purpose AI Level 2 Multiple-Purpose AI Learning Data Gathering Execution Data Storage Visualization Decision Optimization Modeling Application-Specific Data Gathering Execution Data Storage Visualization Special Purpose Learning Decision Optimization Modelling General Purpose Independent
  34. 34. 36© Hitachi, Ltd. 2017. All rights reserved. Level 3 Creative AI Special Purpose General Purpose Actuation (Drug/Software) Creation DialogScope Evolution of AI Learning Data Gathering Execution Data Storage Visualization Decision Optimization Modeling Independent Level 4 General Intelligence(AGI) Special Purpose General Purpose Learning Data Gathering Execution Data Storage Visualization Decision Optimization Modeling Independent Actuation (Drug/Software) Creation
  35. 35. 37© Hitachi, Ltd. 2017. All rights reserved. Artificial Intelligence From Rule-Oriented To Outcome-Oriented
  36. 36. 38 Physical Motion Walk E-Mail 1S 1S 2Hz 0.8Hz Wristband Sensor © Hitachi, Ltd. 2017. All rights reserved. Badge Sensor
  37. 37. 39 © Hitachi, Ltd. 2017. All rights reserved. 0 24 2009 1 2 3 4 5 6 7 8 9 10 11 12 My Life has been Recorded for over 10 Years every 50 ms
  38. 38. 40© Hitachi, Ltd. 2017. All rights reserved. My Life has been Recorded for over 10 Years every 50 ms 0 24 2009 1 2 3 4 5 6 7 8 9 10 11 12 Time 0 24 0 24 0 24 0 24 20132010 2011 2012 2014 0 24 0 24 2015 2016 0 24 0 24
  39. 39. 41 OneYear A B C D 0 24Hour 0 24Hour 0 24Hour 0 24Hour "Life Tapestry(R)" of Four Persons © Hitachi, Ltd. 2017. All rights reserved.
  40. 40. 42© Hitachi, Ltd. 2017. All rights reserved. 1,000,000 Days Collected Human-BehaviorData Last 10 Years
  41. 41. HappinessSurvey Diversity of Physical Motion R=0.94 © Hitachi, Ltd. 2017. All rights reserved. 43 5 billion records:10 organizations,468 persons,5000 man-days Diversity of Physical Motion is Happiness HappinessQuestionnaire 20 questionson last week's happiness, enjoyment, solitude, sadness, etc.
  42. 42. 44 © Hitachi, Ltd. 2017. All rights reserved. Active Non-Active Large Small Diversity of Motion Short Long Time MediumMedium Hidden Pattern behind Happy People Diversity in Motion Length (= Vitalization)
  43. 43. 45© Hitachi, Ltd. 2017. All rights reserved. Happiness of People is Measurable by Accelerometer
  44. 44. 46© Hitachi, Ltd. 2017. All rights reserved. Productive Happy Organization is
  45. 45. © Hitachi, Ltd. 2017. All rights reserved. 47 34% SalesPerHour Collective Happiness = Diversity of Motion (Daily Average) Low High 0 0.5 0.8 Call Center Store 15% SalesperCustomer(¥) Low High Development Project 17141312 5YearRevenue 0 4 8 12 PJ1 PJ2 PJ3 PJ4 Collective Happiness = Diversity of Motion (Daily Average) Collective Happiness = Diversity of Motion (First 2 Month)
  46. 46. © Hitachi, Ltd. 2017. All rights reserved. Human Empower Human A I Hitachi AI Technology/ H Monitor Assist 48 Support Organizational Learning & Growing ◆Outcome is Collective Happiness ◆DailyAdvice by AI for Better Communications
  47. 47. 49 © Hitachi, Ltd. 2017. All rights reserved. Quantify Daily Group Happiness by WearingSensors
  48. 48. 50 Daily activeness& successrate Priority list to support Supervisor comment share Recent commentsMeeting Activeness Sales Dashboard for Supervisor
  49. 49. © Hitachi, Ltd. 2017. All rights reserved. 51 Sales Success Rate 27%↑ Employee Happiness ↑
  50. 50. Bank of TokyoMitsubishiUFJ 15.9.25 AI-Based Big-DataAnalytics Assists ProductivityEnhancementin BTMU JapanAirline 15.10.5 JAL & Hitachi has Started Pilot Utilizing IoT & AI for Employee-SatisfactionEnhancement
  51. 51. Happiness AI Application 53 Activation Visualization Type Diagnosis & Advice Evidences
  52. 52. Hitachi Utilizes AI Finance, Sales, Manufacturing,HR 600 Sales Employees in Hitachi Group Use AI (2016.6.27 News Release) 54© Hitachi, Ltd. 2017. All rights reserved.
  53. 53. 55© Hitachi, Ltd. 2017. All rights reserved. Happiness Measurement by Smart Phone Attendees for Experiment in January is Welcome (Search by “Happiness Planet”) News Release, Hitachi October 3rd 2017
  54. 54. Artificial Intelligence releases you from rules, makes you bloom at the place you are placed 56© Hitachi, Ltd. 2017. All rights reserved.

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