Blockchain + Big Data + AI + IoT Integration

2. ©2018 Xanadu Big Data, LLC All Rights Reserved Contents -Blockchain Components -Blockchain Reference Architecture -Blockchain Platforms: Ethereum -Blockchain Platforms: Hyperledger -Blockchain Use Cases -Blockchain 3.0 -Emerging Blockchain Technology -Big Data Introduction -Big Data Analysis Flow -Big Data Use Cases -IoT Introduction -IoT Use Cases -IoT Analytics -Challenges of IoT Big Data Analytics Applications

3. ©2018 Xanadu Big Data, LLC All Rights Reserved -Artificial Intelligence Overview -Artificial Intelligence Revolution -Deep Learning Introduction -Deep Learning Use Cases -Automated Skin Cancer Classification -Automated Diabetic Retinopathy Classification -Portable Ultrasound Devices -Big Data in IoT & Deep Learning -The Fourth Industrial Revolution? -AI Investment -Blockchain ICO -IoT Startups by Industry & Patents -AI Startups by Industry & Patents -Blockchain Startups by Industry & Patents

4. ©2018 Xanadu Big Data, LLC All Rights Reserved -Blockchain + IoT Integration -Blockchain + IoT Use Cases: IIoT & SCM -Blockchain + AI Integration -Blockchain + AI Integration Demo -Blockchain + Big Data Integration -Blockchain + Big Data + AI+ IoT Integration -Xanadu based Blockchain + Big Data + AI+ IoT Integration -Xanadu Functionality -Xanadu based Big Data Archive -Xanadu Performance BMT -Xanadu Commodity Storage System Use Case -Xanadu Cloud Computing Use Case -Xanadu + Hadoop + Deep Learning Integration Demo -Xanadu based Medical CBIR System -Xanadu based Medical CBIR System Demo for Diabetic Retinopathy Diagnosis -Advantage of Xanadu + Blockchain Integration -Xanadu + Blockchain Integration Demo

7. ©2018 Xanadu Big Data, LLC All Rights Reserved Blockchain Platforms: Ethereum source: Building Blockchain Apps using Ethereum & Hyperledger@Udemy source: Blockchain Applications: A Hands-On Approach@A. Bahga & V. Madisetti

9. ©2018 Xanadu Big Data, LLC All Rights Reserved Blockchain Use Cases How blockchain can streamline healthcare: Link Restart Energy Democracy - Blockchain Infrastructure for Energy Supply: Link Walmart's food safety solution using IBM Food Trust built on the IBM Blockchain Platform: Link Blockchain Insurance Industry Initiative: Link Blockchain 3D printing 'Smart Manufacturing': Link Blockchain's Vast Potential To The World Of Music: Link

12. ©2018 Xanadu Big Data, LLC All Rights Reserved Alibaba Group founder and executive chairman Jack Ma: “The era of Data Technology (DT) is here and it will surpass the Information Technology era.” Lots of data is being collected and warehoused: Web data, E-commerce, Bank/Credit Card transactions, Social Networks Google processes 20 PB a day (2008) Facebook has 2.5 PB of user data + processes 15 TB/day (2009) eBay has 6.5 PB of user data + 50 TB/day (5/2009) CERN’s Large Hydron Collider (LHC) generates 15 PB a year Key enablers growth of Big Data: Increase of low cost storage capacities Increase of high performance processing power Availability of data Big Data Introduction

15. ©2018 Xanadu Big Data, LLC All Rights Reserved A. IoT Components IoT devices: Devices that can sense/recognize their surrounding environments (including position/movement/identification) and communicate with other devices Networks: Connecting/communicating medium/infrastructure that can interconnect devices and connect devices to the internet IT systems: Back-end or embedded systems that can process information (data) obtained by the IoT devices (e.g. cloud computing/big data analytics) and provide the value added services exploiting the information B. IoT Application Value Propositions Automation: Providing various automation services for the customers’ job to be done (e.g., order the out of stock product automatically; self-driving car) Care: Caring for customers (e.g., monitor person’ s body status and provide various health care services; control customer’s home cooling and heating/ lighting system for energy savings) Business/Industry Intelligence: Providing better working/production tools/environments (e.g., analyze customers’ shopping behavior for proactive promotion/advertisement; industrial assets management) Entertainment: Providing fun to customers (e.g., augmented reality games) Internet of Things Innovation: Link IoT Introduction

16. ©2018 Xanadu Big Data, LLC All Rights Reserved According to Industrial Internet Insights Research Report from GE and Accenture, the Industrial Internet — the combination of Cloud Big Data, AI with the Internet of Things — will produce huge opportunities for companies in Aviation, Oil and Gas, Transportation, Power Generation and Distribution, Manufacturing, Healthcare and Mining industries. Big Data with the Internet of Things will help manufacturing sector to design new business models and facilitate cost effective operation and supply chain solutions. IoT Use Cases

18. ©2018 Xanadu Big Data, LLC All Rights Reserved How to provide interoperability among heterogenious IoT data streams in formats, velocities, and semantics? How to provide data reliability by taking into account noisy and incomplete nature of IoT data streams? How to process nearly real-time streaming IoT data? How to deal with temporal and special dependences of IoT data? How to comply with security and privacy requirements of IoT data? Challenges of IoT Big Data Analytics Applications

20. ©2018 Xanadu Big Data, LLC All Rights Reserved Artificial Intelligence Revolution AI Research Trends Large-scale machine learning Deep learning Reinforcement learning Computer vision Natural Language Processing Robotics Internet of Things (IoT) Collaborative autonomous systems AI BY DOMAIN TRANSPORTATION Smarter cars Self-driving vehicles Transportation planning On-demand transportation Interacting with people HOME/SERVICE ROBOTS Vacuum cleaners Home robots HEALTHCARE The clinical setting Healthcare analytics Healthcare robotics Mobile health Elder care EDUCATION Teaching robots Intelligent Tutoring Systems (ITS) and online learning Learning analytics PUBLIC SAFETY AND SECURITY EMPLOYMENT AND WORKPLACE ENTERTAINMENT

21. ©2018 Xanadu Big Data, LLC All Rights Reserved Deep Learning Introduction Convolutional Neural Networks (CNNs): image/video analysis Source: Deep Learning A-Z™: Hands-On Artificial Neural Networks by SuperDataScience@udemy Recurrent Neural Networks (RNNs):time series analysis Reinforcement Learning (RL): automatically determine the ideal behaviour within a specific context, in order to maximize its performance for a specific goal Source: Reinforcement Learning in Python by Lazy Programmer Inc.@udemy

23. ©2018 Xanadu Big Data, LLC All Rights Reserved Dermatologist-level classification of skin cancer with deep neural networks by Stanford University researchers Train Inception v3 CNN using a dataset of 129,450 clinical consisting of 2,032 different diseases: Test its performance against 21 board-certified dermatologists on biopsy-proven clinical images with two critical binary classification use cases: malignant carcinomas versus benign seborrheic keratoses; and malignant melanomas versus benign nevi. The deep learning CNN outperforms the average of the dermatologists at skin cancer classification . Automated Skin Cancer Classification source: https://cs.stanford.edu/people/esteva/nature/

24. ©2018 Xanadu Big Data, LLC All Rights Reserved Google's Research In Artificial Intelligence Helps In Preventing Blindness Caused by Diabetes Google Brain has collaborated with doctors in India and US to help them diagnose DR. The team has collected over 128,000 images that were each evaluated by 3-7 ophthalmologists from a panel of 54 ophthalmologists. These images were fed to a deep learning algorithm for creating a model to detect Diabetic Retinopathy. The predictions from Google Brain’s neural network algorithm were so close that it is considered to be on par with the diagnosis of experienced ophthalmologists. Automated Diabetic Retinopathy Classification source: https://www.youtube.com/watch?v=oOeZ7IgEN4o

26. ©2018 Xanadu Big Data, LLC All Rights Reserved Big Data in IoT & Deep Learning Big Data IoT Deep Learning Volume: Size of Data Very large volumes of data from sensors and connected devices Increase in algorithm complexity and computing time Velocity: Data Processing Speed Real time streaming data of very shot time scales, high frequencies, high ingestion rates Difficulty in data learning process in a timely manner Variety: Different Types of Data Heterogeneous datasets from geographically distributed diverse IoT sensors and connected devices Increase in data processing diversity for different data characteristics and behavior Veracity: Truthfulness of Data Noisy & incomplete data which are characterized by uncertainty; Data security issues Significant increase in pre-processing of data

27. ©2018 Xanadu Big Data, LLC All Rights Reserved What is happening now in technological breakthroughs? Self-learning machines can analyze big data from business & from digitized real world (IoT) rapidly and objectively than human beings (AI) to create additional value (Big Data). The Fourth Industrial Revolution? Industry 4.0 Industrial Internet

35. ©2018 Xanadu Big Data, LLC All Rights Reserved Ocean, Decentralized Data Exchange Protocol to Unlock Data for AI Overview of Ocean Protocol: Link Cortex, Decentralized AI Computing System AI On the Blockchain: Link SingularityNET, Decentralized Global AI Network SingularityNET is building the world's first AI-as-a-Service platform: Link Blockchain + AI Integration

40. ©2018 Xanadu Big Data, LLC All Rights Reserved Xanadu enables competitive big data management in the Clouds or Enterprises Xanadu Functionality K AnyTypes&SizeofData NoSQL Database Data De-duplication Data Replication Massively Scalable Fault Tolerance Data Store NoSQL Database ACID Compliance High Throughput Low Latency Data Access

41. ©2018 Xanadu Big Data, LLC All Rights Reserved Deduplication functionality reduces the actual storage footprint by recognizing duplicate data and maintaining only as many copies as it needs to assure its availability. Time stamping functionality provides inherent (built-in) backup of the database. ACID compliance guarantees reliable and consistent data update even in the face of the storage failure. Xanadu enables a high speed data querying archive system with massive scalability. Xanadu provides database for real time big data analytics. Xanadu provides intra/inter enterprise collaborative data sharing platform. Xanadu based Big Data Archive

45. ©2018 Xanadu Big Data, LLC All Rights Reserved CNN/RNN architecture in DeepLearning4J (DL4J) on CPUs/GPUs Xanadu file system/Hodoop adapter is used to store and load data directly from DL4J Local Machines & AWS Clusters Deep Learning using Xanadu Big Data Archive: Customized deep learning for specific applications/dataset Xanadu + Hadoop + Deep Learning Integration Demo

46. ©2018 Xanadu Big Data, LLC All Rights Reserved For some diseases, assessment of historical records in the database is sufficient for quick and accurate diagnosis. By comparing a new medical images to similar images available in the database, it becomes easier for the doctors to diagnose a patient. As the number of records in the database increases, the database can become comprehensive and exhaustive resulting into an improvement in accuracy of a diagnosis based on the database. Xanadu based CBIR system provides a scalable and efficient architecture that enables archiving of such large number of records that allows quick retrieval of relevant records on demand at a low cost. Xanadu based Medical CBIR System

48. ©2018 Xanadu Big Data, LLC All Rights Reserved High throughput/High transaction rate (millions per second) Xanadu ‘s ACID compliant enables to avoid hard forks at an API level by only accepting a new transfer block when the current owner block is verified to be the immediate precursor. In Xanadu timeline store there is only a “latest” block along the linear timeline, so the new transfer block must link to just this latest one without any intervening block. At any time the current owner of a digital asset can sign a transfer block to any other user, and the Xanadu database’s role is to act as a fault tolerant recording system of these transactions. An asset management system built on top of aXanadu is able to cope with many thousands of asset ownership changes per second, while still providing the tamper-proof semantics of a distributed ledger. Inherently auditable trails of ownership or business actions/transformations, with complex querying possible using Xanadu not available to pure blockchain implementations. Advantage of Xanadu + Blockchain Integration

49. ©2018 Xanadu Big Data, LLC All Rights Reserved This demo shows the status of a digital asset called "Ford Prefect 999", which has a history of ownership changes. A transfer of ownership like this requires the signature of the current owner (and knowing their private key), and the transfer blocks all the way from the creation block of the asset can be traced and verified. Inside Xanadu the timeline data model holds all the transaction history (which is a cryptographically securely signed blockchain) under a simple "Key" that is the name of the asset (in this case "Ford Prefect 999"). If you need to verify things, then you pull all the data blocks out of Xanadu and simply recompute the SHA256 signatures using the public keys of owners at any link in the chain. A potential application can be a medical image data market place for sharing, transaction, exploration for AI in relation to Xanadu Based CBIR System for automated diseases classification & diagnosis. Xanadu + Blockchain Integration Demo

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