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Blockchain with Machine Learning Powered by Big Data: Trimble Transportation Enterprise

  1. 1 © Hortonworks Inc. 2011–2018. All rights reserved Trimble Transportation Enterprise Solutions Customer Webinar: Big Data powering Blockchain with Deep Learning to revolutionize the transportation and logistics industry “Hortonworks helped Trimble to be the first through new applications of existing technologies and applying them in ways we never considered before.” Timothy Leonard, EVP Operations & CTO Trimble Transportation Enterprise Solutions
  2. 2 © Hortonworks Inc. 2011–2018. All rights reserved • Introduction • Transportation Industry • Trimble Overview & Challenges • Trimble Use Case(s) • Trimble Business Value • Connected Data Platforms • Questions and Answers Today’s Webinar Agenda
  3. 3 © Hortonworks Inc. 2011–2018. All rights reserved Webinar Presenters • Former Executive at General Motors and CTO/VP of Information Management at US Xpress Inc, Timothy has over 30 years’ experience in configuration management planning for Information Management Systems, Operational Data Stores and Order Entry Systems. His expertise includes delivery/implementation of mechanisms to identify, control, and track changes during project rollouts across functional teams. • Showcased in over 30 media outlets such as BeyeNETWORK, Bloomberg BusinessWeek, Computer Weekly, ComputerWorld UK, Information Management and TechTarget. Recognized by Information Week as one of the 2011 Top 25 Information Managers and by Informatica as a winner of two 2012 Innovation Awards in the Best of the Best and Megatrends: Big Data, Cloud, Social Media categories. • In 2017, Leonard was a recipient of the Hortonworks’ Data Visionary Award for his work in business intelligence. ● Donnie has a devotion for business intelligence , data integration, and data science. Working for 12 years with TMW optimization and business intelligence divisions, he has experience in delivering real time transportation optimization solutions to improve transportation operations and profitability. ● Recently focusing on near real time analytics using Apache NiFi, Donnie has experience providing actionable business intelligence with the Hadoop platform, implementing data warehouses, and delivering transportation optimization. The architecture designed using the Hortonworks Data Flow Platform has provided the Trimble Freight Visibility Data Service the capacity to analyze and process hundreds of millions of transactions each day.
  4. 4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Safe Harbor Notice The information presented is for informational purposes only and should not be relied upon in making a purchasing decision. Trimble is under no legal obligation to deliver any future products, features or functions within any specified time frame, if at all. Release dates and content are subject to change at Trimble’s sole discretion.
  5. 5 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Industry Transformation Digital supply chains respond 25% faster due to real-time information and complete data visibility Boston Consulting Group Connected Truck growth of 13.5% CAGR through 2022 Frost & Sullivan 91% of carriers operate fleets of 6 vehicles or less, causing fragmentation and delayed decision-making Motor Carrier Management Information Systems (MCMIS)
  6. Blockchain Patents 631 patent families (1853 patents), of which roughly 75% (465 patent families) have been granted* 5 Potential Patents - Proof-of-Freight - Connected Ledger - Blockchain-based Appointment Scheduler - Block Lens - Freight Bidding Process * https://clarivate.com/blog/overview-blockchain-patent-landscape/
  7. 7 © Hortonworks Inc. 2011–2018. All rights reserved BENEFITS OF DATA and BLOCKCHAIN In today’s competitive world, logistics professionals are faced with many problems. Should they focus on improving operational efficiency? Should they work on minimizing logistics cost? Should they focus on building strategic partnership? What strategy is right for business? Unfortunately, to be successful, logistics professional have to consider all of the above and we believe Blockchain can help them with the strategy. WHAT TO CONSIDER? RECORD PROVENANCE Capturing logistics events in a Blockchain ledger allows professionals to understand when an event happened, what triggered it, who did it, and thus providing full record provenance. ORGANIZATIONAL VISIBILITY Storing business critical information in a decentralized ledger allows connected downstream applications to gain real-time access and provide end-to-end supply chain visibility to not only a business unit but to an entire organization. SECURITY Based on the recent data breaches, we can’t stress enough of the importance of cybersecurity. Data stewardship and governance is an important aspect of every organizational strategies. Storing information in a secure shared ledger using cryptographic keys makes the system harder to hack. FASTER PAYMENTS Most of us agree that logistics process is highly disjointed. It takes anywhere between seven to forty five days to get payments for the delivery. We believe storing key events and proof-of-delivery information in a shared ledger will help cut down payment period tremendously.
  8. 8 © Hortonworks Inc. 2011–2018. All rights reserved Business Overview
  9. 9 © Hortonworks Inc. 2011–2018. All rights reserved BLOCKCHAIN $ INTERNET OF THINGS GPS, Temperature, and Engine sensors, RFID tags, Smart labels & pallets, etc. ANALYTICS Hours of Service, Fuel Tax, Drive Behavior data, Shipper, Carrier and Driver rating and reviews, etc. VEHICLE DATA Parts Warranty, Maintenance Service Records, Service Centers, Technicians, Etc. FINANCIAL PLANNING Driver Pay, Invoicing, Settlements, Fuel Cards, and many others LOGISTICS PLANNING & EXECUTION RFP, Bid, Commitments, EDI Transactions, Proof-of-delivery, signature, photos, Etc. Applications of Blockchain in Transportation
  10. 1 0 © Hortonworks Inc. 2011–2018. All rights reserved Business Case: 85% of the $700B in annual US and Canadian freight volume is moved under contract. Contract freight is typically re-bid annually via a spreadsheet driven RFP/Bid/Award process. Carriers spend a significant amount of time and effort in determining prices for each lane (depending on their density, contractual agreements with other shippers). Tracking of the award all is manual – Did either side honor the agreement? EXAMPLE OF APPLICATION OF BLOCKCHAIN IN TRANSPORTATION Trimble Contract Freight RFP/Bid/Award/Commitment Tracking Today’s 100% Manual Process • Shipper creates spreadsheet with 100s-1000s of rows (lanes), 10s of columns (data elements) • Shipper emails spreadsheet to 100s of carriers. • Carriers review and fill-out spreadsheet with their bid information, not all rows (lanes) are populated, not all columns filled-in. • Carriers return completed spreadsheets to Shipper via email. • Shipper awards freight (partial or complete, by lane carrier, by carrier). • Contracts compliance (volumes, lanes) are still not 100% enforceable either side can’t track all the touchpoints, contract compliance rarely exists and contracts may be underutilized. • No ties back into the Operational (TMS/ERP) Systems • No History of old contracts, pricing. performance
  11. 1 1 © Hortonworks Inc. 2011–2018. All rights reserved Business Case: 85% of the $700B in annual US and Canadian freight volume is moved under contract. Contract freight is typically re-bid annually via a spreadsheet driven RFP/Bid/Award process. Carriers spend a significant amount of time and effort in determining prices for each lane (depending on their density, contractual agreements with other shippers). Tracking of the award all is manual – Did either side honor the agreement? EXAMPLE OF APPLICATION OF BLOCKCHAIN IN TRANSPORTATION Trimble Contract Freight RFP/Bid/Award/Commitment Tracking Tomorrow’s Blockchain Process • The freight contract becomes a smart contract in the Blockchain system, with all commitments inside the RFP and Bid centralized and tracked. • Shipper tenders a load for shipment, smart contract looks for the best contract in place, extracts the necessary information, such as rate per mile, penalty cost, accessorial charges, detention rules, etc. and auto-populating them on the freight record eliminating error prone manual entry. • In addition, the smart contract could offer the load tender to a list of pre-selected carriers. If carrier A rejects, the system would automatically send notifications to the next carrier in the list, and the process continues until a carrier accepts the load. • Real world benefit – A “Technology Partner” Carrier discovered its sales people are taking more loads than agreed in the contract missing an opportunity to reposition its fleet in a red hot spot market. With slight adjustments, customer repositioned assets and improved profit by $70,000 a week => $3.5 million/year.
  12. 1 2 © Hortonworks Inc. 2011–2018. All rights reserved How to elevate freight bidding process to the next level using blockchain? CURRENT STATE FUTURE STATE P 1 P 2 P 3 P 4 P 5 P 6 P 7 RFP ENGAGE.BID CURRENT FUTURE Communication File- based. Use experience is not at its best due to the use of spreadsheets to exchange data. Data will be exchanged via blockchain network requiring very little to no data manipulations. Data Storage Data is typically stored in files and desperate systems providing zero visibility. Data will be stored in a decentralized ledger offering full transparency. Record Provenance Not all events and user actions are logged resulting in lack of accountability. Provides full audit capability. Automation Most actions are performed manually. Certain functions could be automated using smart contracts. A 50% reduction in manual work is a significant savings to the company. Integration Proprietary Any authorized user can join the network and use industry standard integration models. Cryptocurrencies No support for cryptocurrencies. Integrate with financial blockchain systems to support several cryptocurrencies. Trimble Coin Offering Forces Trimble clients to use Trimble coins. # SHIPPER VIEW CARRIER VIEW
  13. 1 3 © Hortonworks Inc. 2011–2018. All rights reserved TTES Presents Block View assisting Farm To Fork models Transforming the way the world buy products Summary Detail Product ID : 1234 Description: Product description Loaded at OKC, OK Temp – 34o 2017-02-19 03:00:00 CST In Transit St. Louis, MO Temp – 38o 2017-02-19 07:00:00 CST In Transit Chicago, IL Temp – 36o 2017-02-19 17:00:00 CST - Provided by Trimble Transportation
  14. 1 4 © Hortonworks Inc. 2011–2018. All rights reserved A Quick Glance at Technology
  15. 1 5 © Hortonworks Inc. 2011–2018. All rights reserved TTES HOSTED APP NETWORK TTES BLOCKCHAIN NETWORK BLOCKCHAIN APPS DATA PROVIDERS/ CONSUMERS TRIMBLE IDENTITY & AUTHORIZATION TRIMBLE VAULT HORTONWORKS ANALYTICAL DOMAIN ENTERPRISEMESSAGEBUS DATA LAKE OPERATIONAL DOMAIN EVENT STORE D R T C O A MICROSERVICES CONTAINERS API GATEWAY MACHINE LEARNING MODELS 1 2 N CLIENT BLOCKCHAIN NETWORK 1 NODE SHARING CLIENT APPLICATIONS 1 2 N API INTERFACING 3rd PARTY BLOCKCHAIN NETWORK 1 2 N1 PARTICIPANT SYNCHRONIZATIONSERVICE 1 2 N INTERNAL 1 2 3 N TTES ENTERPRISE ARCHITECTURE
  16. 1 6 © Hortonworks Inc. 2011–2018. All rights reserved How to enable blockchain in your existing applications? TRUCKMATE Kafka CLIENT NETWORK TRIMBLE TRANSPORTATION NETWORK Data Collector API Gateway Message Queue Data Flow Data Store TRIMBLE TRANSPORTATION PERMISSIONED BLOCKCHAIN NETWORK 1 2 N TRIMBLE VAULT 1 Blockchain API Connection Blockchain Network Connection SUITE INNOVATIVE Hortonworks Data Flow (HDF)
  17. Entity Resolution in Master Data Management for Blockchain 1 2 N Database THE FUTURE TMW HIVE DATA LAKE RAW DATA OPERATIONAL DATABASE { “cluster_id”: 834723, “cluster_name": "HOME DEPOT 123 ", “rank": 304.42, "address": “999 N Some St, New Town, LA 73253", "distance(miles)": 1.91, " "hierarchy": [ "HOME DEPOT 123 ", "THE HOME DEPOT INC" ], "lat": 33.948475, "long": -89.08651, "quality_score": 1, "query_score": 0.3114, distance_score": 0.8306, } Business 1 Business 2 Business 3 DATA STEWARDS ONGOING DATA GOVERNANCE MACHINE LEARNING CLUSTERING PREPROCESSING GOLDEN RECORDS Search Engine Update Merge Split Verification Rating JSON API RESPONSE API MENU CLIENT APPLICATIONS BLOCKCHAIN SMART CONTRACTS SOURCE OF RECORD User Ratings
  18. 1 8 © Hortonworks Inc. 2011–2018. All rights reserved Enterprise Data View
  19. 1 9© Hortonworks, Inc. 2011-2018. All rights reserved. | Hortonworks confidential and proprietary information. Modern Data Architecture DATA CENTER Machine Learning/ Artificial Intelligence Telemetry – Connected Devices Time Series Databases Stream Analytics Deep Historical Analysis Exception Monitoring Legacy/ Operational Data Sensors, Control Systems Cyber Security Edge Analytics Social Mobile IoT IoT CLOUD Geo Location
  20. 20 © Hortonworks Inc. 2011 – 2018. All Rights Reserved Capture streaming data Deliver perishable insights Combine new & old data Store data forever Access a multi-tenant data lake Model with machine learning DATA AT REST (Hortonworks Data Platform) DATA IN MOTION (Hortonworks DataFlow) ACTIONABLE INTELLIGENCE Perishable Insights Historical Insights A Connected Data Strategy Solves for All Data HORTONWORKS DATAPLANE SERVICE Manage, Secure, Govern MULTIPLE CLUSTERS AND SOURCES MULTIHYBRID
  21. 2 1 © Hortonworks Inc. 2011–2018. All rights reserved Question and Answer Session