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Building a Trustworthy Data Society

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Today our daily lives, business innovations, and evolving medical concerns all depend on data. AI is becoming ubiquitous. Data dictates AI’s algorithms and outputs. Anybody can create data, and it will be freely and commercially traded to accelerate innovations. According to IDC, there will be 163ZB of data by 2025. So how do you make sure that the results of data analysis and AIs are correct, fair, and ethical? Fujitsu Laboratories is focusing on technologies that make our society trustworthy, particularly in this new data era. In this breakout session, we will discuss how to build a genuinely trustworthy data society with our new technologies.

Speaker:
Chiseki Sagawa

Published in: Technology
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Building a Trustworthy Data Society

  1. 1. Building a trustworthy data society Fujitsu Laboratories Corporate Executive Officer and director Chiseki Sagawa November 8, 2018 Fujitsu Forum 2018 Copyright 2018 FUJITSU LABORATORIES LTD.
  2. 2. Data is the oil of 21st Century OILDATA= IDC White Paper, Sponsored by Seagate, Data Age 2025, April 2017 163ZB in 2025※ Copyright 2018 FUJITSU LABORATORIES LTD. ※ 10ZB = 1millionTB 1
  3. 3. Digital Co-creation is driven by data The real world is depicted by data in the cyber world Trustworthiness depends on data Real world Data analytics AI Cyber world 163ZB Blockchain optimization automation Real world is depicted by data Copyright 2018 FUJITSU LABORATORIES LTD.2
  4. 4. Copyright 2018 FUJITSU LABORATORIES LTD. Building blocks for a trustworthy data society 1 VPX Highly secure distributed data exchange 2 Chain Data Lineage E2E data lineage across corporations 3 Dataffinic computing Data centric computing for the distributed storage Ceph 4 Other technologies XAI, WideLearning, Dracena 3
  5. 5. Copyright 2018 FUJITSU LABORATORIES LTD. Highly secure data exchange across industries VPX Virtual Private digital eXchange1
  6. 6. Gartner, Webinar “The Next-Generation Data Center: Are you Ready for the Future of IT?”, Matthew Brisse,Nov 1, 2017, https://www.gartner.com/webinar/3816063 Where does the data go? Copyright 2018 FUJITSU LABORATORIES LTD.5
  7. 7. Copyright 2018 FUJITSU LABORATORIES LTD. More trustworthy data society by a decentralized approach Decentralized Control and security of data depends on a cloud vendor Centralized Each and every owners control their own data Internet Blockchain Cloud Internet 6
  8. 8. Blockchain comes after Cloud Copyright 2018 FUJITSU LABORATORIES LTD.7 The "great unbundling" is coming “The clouds are dispersing into the skies - sky computing spreads across blockchains.. "
  9. 9. Copyright 2018 FUJITSU LABORATORIES LTD. Find and transfer data while keeping your data on premise Data Jacket : Metadata description model designed by Prof. Ohsawa of Tokyo University VPX(Virtual Private digital eXchange) A blockchain based distributed data exchange platform Share metadata1 Set access policy Yes Yes No read Data publisher Data Jacket Find data2 Read Data publisher Data Jacket Read & get more info. Access denied read Transfer data3 Data publisher User 8
  10. 10. Copyright 2018 FUJITSU LABORATORIES LTD. P2P Communication Smart Contract API API P2P Communication Smart Contract API publish Secure data transfer Data Publisher VPX transfer request DataJacket Internet IOT System Blockchain Data Consumer Biz Analytics datadata API Data access policy Data discovery directory Data exchange management Secure P2P data transfer transfer Blockchain VPX technology highlights 9
  11. 11. ・ Overall Data Exchange Network view and Record of Trace Information ・ data user (find preferred data) ・ data provider (owner) 10
  12. 12. Copyright 2018 FUJITSU LABORATORIES LTD. Marunouchi Open Innovation Field by Mitsubishi Estate, Softbank, Tokyo University, and Fujitsu (Announced May 15, 2018) New BusinessData Blockchain Marunouchi Open Innovation Field Commerce Hotel Human flow Transportation Event Communication network Energry Environment (Weather, etc ) Government Data analysis Data analysis Building management 11
  13. 13. Chain Data Lineage Copyright 2018 FUJITSU LABORATORIES LTD. E2E data lineage across corporations 2 Booth D.06
  14. 14. How to build trustworthy systems?  Function is designed by people  Output is defined by function Function mattersRule driven  Function is designed by data  Output is defined by data Data mattersData driven Input data function Output data Input data function Output datalogic AIlogic Copyright 2018 FUJITSU LABORATORIES LTD.13
  15. 15. What makes distributed data society trustworthy?  They are: 1. E2E data traceability across companies 2. GDPR compliant personal data exchange across companies Company Z a b processed d eb d c Company X Company Y Data user Company Z Personal data Copyright 2018 FUJITSU LABORATORIES LTD. I want to know the origin of this data Data graph AI model output 14
  16. 16. E2E traceability Company Z a b processed d e Company X b d c Company Y Personal data Copyright 2018 FUJITSU LABORATORIES LTD. Chain Data Lineage  Realizing a trustworthy society managing an e2e data lineage  Capable of tracing back to the original data  Automation of transferring only consented personal data Data user Company Z Data graph AI model output I see Data of company X is the origin. a 15
  17. 17. E2E data lineage across companies  Each company data lineage is integrated into VPX Data lineage systems Blockchain (VPX) b d eb d Add Company X Data lineage Add Company Y Data lineage a c X to Yb VPX trade records VPX trade records Copyright 2018 FUJITSU LABORATORIES LTD. Company Z user output Each company data lineage is integrated into VPX Chain Data Lineage a b Update history Company X b d c Company Y Company Z d e Y to Zd Get to origin is traceable ea 16
  18. 18. d eba b d c Inter-company consented personal data management Consent (a group of people)2 Consent Proxy Personal data  Inter-company consent proxy integrated with VPX  Only consented data will be transferred by the consent proxy Copyright 2018 FUJITSU LABORATORIES LTD. b d c Company Y Company Z d e Company Z user output Transfer only data consented for Y Confirm consent1 Transfer only data consented for Z a b Update history Company X 17
  19. 19. Copyright 2018 FUJITSU LABORATORIES LTD. ・ Portal ・ Smartphone・ Data-Resource Booth D.06 18
  20. 20. Use Cases Telematics Insurance Driving habits data Driving habits data Motor Co. A Motor Co. B Data Brokerage Convert data Driving rating Map data Traffic data Driving Model AI Driver model Insurance Insurance price Price data Medical data Drug maker Food retailer College Medical record Pre scription Hospital Pharmacy Drug notes Patient Personal data is used only for the right consented purpose Diagnose Disease analysis Medication analysis New drug development New drug Ad. Healthy Food sales Copyright 2018 FUJITSU LABORATORIES LTD. Personalized telematics insurance tradetrade trade tradetrade tradeNotrade 19
  21. 21. Dataffinic Computing Copyright 2018 FUJITSU LABORATORIES LTD. Data centric computing architecture for the distributed storage Ceph 3 Booth D.02
  22. 22. A large amount of data is wasted 10 times more than today 163 ZB Video surveillance data 4 TB/year Datacenter log data 300 PB/year Copyright 2018 FUJITSU LABORATORIES LTD. 163 ZB 2025in A completely new architecture is necessary to handle huge data 21
  23. 23. From a process to data centric A typical systemToday Storage Compute Network Offloading to storage New SDS Storage Compute Network Data movements Optimum data allocation Dataffinic Computing Storage Compute Network ・・・ ・・・・ Copyright 2018 FUJITSU LABORATORIES LTD. Data movements 22
  24. 24. Contents-aware data allocation Data is divided at the fixed length Data is divided at the contents boundary  Data is optimally allocated according to contents, eliminating network traffic and enabling super scalability Copyright 2018 FUJITSU LABORATORIES LTD. Data still moves New SDS No data move Contents-aware data allocation 23
  25. 25. T0 T1 node 1 node 2TIME Node 1 high workload is predicted from the process event patterns Allocate the data process to Node2 2 3 Storage Process Copyright 2018 FUJITSU LABORATORIES LTD. Predict workloads of each node at T11 Adaptive resource control  Optimum data processing avoiding storage housekeeping processing conflicts Allocate Storage Process Storage Process Storage Process Data process 24
  26. 26. Dataffinic Computing No more wastage of data Digitalize data to shape tomorrow Copyright 2018 FUJITSU LABORATORIES LTD.25
  27. 27. Technologies to make a trustworthy data society Explainable AI WideLerning Dracena Further building blocks Copyright 2018 FUJITSU LABORATORIES LTD. 4
  28. 28. Published by Nature (Dec, 2017) Copyright 2018 FUJITSU LABORATORIES LTD. Explainable AI for Genomic Medicine Booth D.01/03
  29. 29. Copyright 2018 FUJITSU LABORATORIES LTD. Wide Learning Beyond Deep Learning Booth D.04
  30. 30. Copyright 2018 FUJITSU LABORATORIES LTD. Dracena A super-scalable event-driven private platform Booth D.08
  31. 31. Copyright 2018 FUJITSU LABORATORIES LTD. Digital Co-creation is driven by data Real world Data analytics AI Cyber world 163ZB Blockchain Real world is depicted by data optimization automation Explainable AIComplex data Wide LearningSmall data Dataffinic computingObject data DracenaEvent data Chain Data LineageLineage data VPXMeta data 30
  32. 32. Copyright 2018 FUJITSU LABORATORIES LTD. Technology Showcases Booth# Demonstrations Signage D.01 How can we make the medical coding more efficient? Fujitsu's Deep Learning-Based Coding D.02 How can you rapidly unlock ultra-high density data? With Fujitsu’s decentralized data system technology D.03 How can we explain AI results with confidence? Fujitsu Deep Tensor & Knowledge Graph technologies D.04 How can AI improve predictability and transparency? Fujitsu’s highly accurate WideLearning technology D.05 How can AI deliver service-aware network operation? Fujitsu’s intelligent “conscious” network solution D.06 How can you manage self-consent data solutions? Fujitsu’s GDPR-compliant data exchange platform D.07 How can AI & IoT deliver optimum manufacturing operation? With Fujitsu's automated virtual factory engine OPTEMILIS D.08 How can we realize next generation Smart Mobility? Fujitsu’s real-time data utilization technology D.09 How can you ensure bid assurance in business? Fujitsu AI-based digitalized bid assurance process D.10 How do you accelerate digital co-creation securely? Virtuora DX enables Data Exchange and Utilization 31
  33. 33. Building a trustworthy data society Copyright 2018 FUJITSU LABORATORIES LTD. Making sure our R&D directions aim for a trustworthy data society 32

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