DLT analytics and AI workshop 13 march 2019

1. Workshop #3: Private Blockchains | Use Cases & Advanced Analytics 13 March 2018 Stavros Zervoudakis, Dean Karakitsos, Aleksey Studnev, Yamiz Bachkhaz, Qi Zhang, Enterprise Solutions – IBM Stephen Luedtke, Blockchain - Splunk DLT, Analytics and AI https://www.meetup.com/Blockchain-Analytics-AI/

2. https://www.meetup.com/Blockchain-Analytics-AI/

3. AGENDA 1. Welcome and Introduction (Stavros, Dean, Yamiz) 2. Designs of Hyperledger Fabric, a permissioned blockchain. Experiences and lessons learned from various real-world enterprise blockchain use cases. 3. Overview of the Hyperledger “Fabric-Samples” repository for developers available via Docker compose and containers. 4. Integrating Splunk to instantly enable analytics and insights to a Hyperledger Fabric environment Break and Networking 5. Showcase analytics use cases in Splunk by generating transactions and failure scenarios within a Hyperledger Fabric deployment. 6. Bonus - Advanced Data Integrity using Blockchain, Splunk for Ethereum, Cross-chain Analytics 7. Conclusion (Dean, Stavros, Yamiz) https://www.meetup.com/Blockchain-Analytics-AI/

4. MANY THANKS TO https://www.meetup.com/Blockchain-Analytics-AI/ and

5. Questions Join our Meetup Group hello@bloxy.info Workshop Series https://www.meetup.com/Blockchain-Analytics-AI/

6. Qi Zhang IBM Research, NY, USA q.zhang@ibm.com Enterprise Blockchain: Design, Use cases, and Cognitive Analytics Blockchain for Business Shared, replicated, permissioned ledger

7. Hyperledger Fabric

8. Business Networks, Wealth and Markets • Business Networks benefit from connectivity • Participants are customers, suppliers, banks, partners • Cross geography and regulatory boundary • Wealth is generated by the flow of goods and services across business network in transactions and contracts • Markets are central to this process: • Public (fruit market, car auction), or • Private (supply chain financing, bonds)

9. Enterprises Need Private Blockchain Append-only distributed system of record shared across business network Business terms embedded in transaction database & executed with transactions All parties agree to network verified transaction Ensuring appropriate visibility; transactions are secure, authenticated & verifiable Privacy Shared Ledger Smart Contract Consensus • Blockchains for business are generally permissioned and private, and prioritize – Identity over anonymity – Selective endorsement over proof of work – Assets over cryptocurrency

10. The Hyperledger Project • An implementation of blockchain technology that is a foundation for developing blockchain applications • Emphasis on ledger, smart contracts, consensus, confidentiality, resiliency and scalability. • V1.4 released 2018 Q4 • Includes significant confidentiality and service discovery improvements • IBM is one of the many contributing organizations

11. Hyperledger Fabric Fabric blockchain architecture overview Execute Order Validate Fabric blockchain transaction flow

12. Hyperledger Fabric Blockchain developer Smart Contract submitsdevelops develops recorded accesses event emits emits D Ledger ‘get’, ‘put’, ‘delete’ Client Application SDK ! ! World state block txn txn txn Blockchain Peer event

13. Transaction Flow E0 E1 E2 Client Application SDK Endorser Ledger Committing Peer Application Ordering Node Smart Contract (Chaincode) Endorsement Policy Hyperledger Fabric Network Ordering-Service O O O OP P4P3 A B A B A B A D

14. Use cases

15. Food Trust

16. Food Ecosystem Today Data sharing limited to ‘one up, one down’ without end-to-end transparency Multiple data formats & sources Lack of trusted, easily auditable records Incomplete information & inability to effectively communicate with the end consumer

17. The IBM Food Trust Solution Future IBM Modules Future 3rd Party Modules / Capabilities §Manage Recalls §Recall Post-Analysis §Trace-forward & back §Recall Simulator Trace & Recall §Version Control §Authenticity §Automated lifecycle management §Real-time Sharing Certificate Management IBM Blockchain Platform Hyperledger Fabric § Permissioned Data Access & Entry § IBM Blockchain Provenance Engine § Secure Document Storage § API Integration Data Entry & Access IBM Food Trust Solution Core

18. TradeLens

19. Cost of Global Trade

20. A Better Way For Global Trade

21. Energy

23. Electric cars Household batteries

24. Identity

25. The Different Dimensions of Our Identity 1. Me as an individual: 2. How I am represented: 3. How I interact: • Identity: Unique traits associated with an individual; the owner of personal identification information. • Identity Renderings: Digital or physical (paper/plastic) instrument as defined by providers. • Identity Interactions: Situational usage such as pay, identify, participate, enter.

26. The Facts 175M records breached in 2017 that exposed millions of people’s identities1 1339 breaches of data stores of individual names, Social Security, drivers license number, medical record, or financial records in 2017 in the US alone.1 Cyber attacks cost businesses as much as $400 billion a year.2 Banks spend $1 billion a year on identity management solutions2 It could have been your identity. [1] http://www.idtheftcenter.org/images/breach/2017Breaches/DataBreachReport_2017.pdf [2] https://www.wired.com/beyond-the-beyond/2017/07/global-cybercrime-costs-trillion-dollars-maybe-3/ [3] https://www.accenture.com/_acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/Dualpub_9/Accenture-Future-Identity-Banking.pdf

27. Decentralized Identity Owner/Holder Acquires, Stores, Presents Verifier Requests, Verifies Issuer Issues Issues Credentials Presents Credentials Decentralized Identifiers (DIDs) Permissioned Blockchain Signs Credentials Countersigns Credentials Verifies Signatures • All interactions between entities are point to point • The ledger serves as the distributed root of trust instead of CAs • Credentials are accumulated over time through every peer to peer relationship

28. Congnitive Blockchain

29. Cognitive Blockchain 1.Ingest Regulation 2.Kick off Bot 3.Obtain Permissions 4.Check Blockchain Records Compliance

30. Kimberley Diamond Certification Regulatory Document

46. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY. During the course of this presentation, we may make forward-looking statements regarding future events or the expected performance of the company. We caution you that such statements reflect our current expectations and estimates based on factors currently known to us and that actual events or results could differ materially. For important factors that may cause actual results to differ from those contained in our forward-looking statements, please review our filings with the SEC. The forward-looking statements made in this presentation are being made as of the time and date of its live presentation. If reviewed after its live presentation, this presentation may not contain current or accurate information. We do not assume any obligation to update any forward-looking statements we may make. In addition, any information about our roadmap outlines our general product direction and is subject to change at any time without notice. It is for informational purposes only and shall not be incorporated into any contract or other commitment. Splunk undertakes no obligation either to develop the features or functionality described or to include any such feature or functionality in a future release. Splunk, Splunk>, Listen to Your Data, The Engine for Machine Data, Splunk Cloud, Splunk Light and SPL are trademarks and registered trademarks of Splunk Inc. in the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2017 Splunk Inc. All rights reserved. Forward-Looking Statements

51. © 2018 SPLUNK INC. FOR INTERNAL USE ONLY. Advanced Data Integrity Uses public or private blockchains to prevent tampering of data in Splunk Infrastructure Monitoring Monitor and analyze logs and metrics from Ethereum or Hyperledger Fabric Transaction Analytics Analyze transaction performance and the distributed ledger data itself Splunk and Blockchain

DLT analytics and AI workshop 13 march 2019

DLT analytics and AI workshop 13 march 2019

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DLT analytics and AI workshop 13 march 2019