• Artificial Intelligence and Big Data Sciences

    Fremont Main Library, Fukaya Room B

    4:00 P.M. - 4:30 P.M. Networking/Introduction 4:30 P.M. - 5:10 P.M. Session 1 Title: Deep Chain Learning by Collusions over Networks Speaker: Ayush Sarkar, Software Architect and Student at University of Illinois, Urbana Champaign Abstract: AI models can be distributed over nodes in a network for identification processes through collusions. Models can be trained, transported and then used in blockchain smart contracts for identification process over various objects, images, signatures, hand-writings, texts etc. existing in forms and documents. There will be brief discussions about future collusions for more general deep learning and AI over Wireless wide area networks, Internet area networks, Metropolitan area networks involving TV, Mobile phones, IoTs, drones, robots, humans etc. with database support. Speaker Bio: Ayush Sarkar is a software researcher / developer with experience in mathematical modeling and analysis. He is a computer engineering senior at University of Illinois, Urbana Champaign. He has multiple patents and publications. 5:10 P.M. - 5:15 P.M. Q/A 5:15 P.M. - 5:55 P.M. Session 2 Title: Simplifying the streaming analytics world Speaker: Gaurav Bhatnagar, Enterprise Big Data Solutions Architect, Imply. Abstract: Simplifying the streaming world using Druid database with highly tunable, customizable and massively scalable clusters for real-time analytics. Takeaway - quick start guide for every participant. Speaker Bio: Gaurav Bhatnagar is Enterprise Big Data Solutions Architect at Imply. He has 17 years of IT experience with Fortune 100 companies, successfully delivering and managing multiple, complex, transformational IT initiatives from idea to benefit realization, navigating strong relationships with stakeholders and delivering value. He is a Technical Architect specialized in Big Data, Data Governance, application modernization and data modeling technologies. 5:55 P.M. - 6:00 P.M. Q/A Food and Drinks will be avaailable.

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  • Hands-on RPA Lab with Automation Anywhere

    Hacker Dojo

    You’ve heard about Robotic Process Automation, yes? If not, then you need to know this. Software robotics is the fastest growing technology that is disrupting the way we work. And according to trusted sources like the KeyBanc Capital Markets, there’s a $100B opportunity for developers to capitalize on. Developers can now build on Automation Anywhere - the world’s widely deployed intelligent automation platform that brings data analytics and machine learning with Robotic Process Automation. We’re inviting all RPA (and non-RPA) developers, enthusiasts and students to come and take a sneak peek at RPA in action. Agenda: Networking and snacks a) A quick overview of the exciting world of Robotic Process Automation. b) Introduction to Automation Anywhere – the only intelligent RPA platform there is. c) Build Your Bot – see the power of automation at work! What we will cover in this session: 1. Create tasks using the Bot Creator interface (taskbots) 2. Create tasks using web recorder and smart recorder 3. Understand command structures 4. Learn about AI and bot analytics d) More advanced concepts for technical developers for a deeper dive into RPA. e) Questions. Bring your laptops (we’ll have you install the community edition if you don’t already have the Automation Anywhere software installed). Please note that the Community Edition works on Windows only. So, if you have a Mac OS, please let us know and we will provide a laptop. Speakers and Lab Crew: Mukund Srigopal - Head of Global Developer Advocacy, Automation Anywhere https://www.linkedin.com/in/mukundsrigopal/ Srinidhi Nuggehalli - Cognitive and RPA Expert, Automation Anywhere https://www.linkedin.com/in/srinidhinuggehalli/

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  • Chatbots – An Introduction to Conversational Design

    453 W San Carlos St

    What is Conversational Design? /ˌkänvərˈsāSH(ə)nal/ /dəˈzīn/ The craft of imparting in a machine those human-like capabilities that enable the machine to interact with humans conversationally, on their terms – not on the machine’s. What Does This Mean? This means understanding written and spoken natural language, adjusting the interaction based on tone/syntax and visual cues, and abstracting/simplifying complex processes. Why is This Important? So that the user does not lose confidence in the interaction if the chatbot sounds dumb and doesn’t parse the info. And the conversational designers understand how users talk to the chatbot and build conversational interactions that respond in kind. Don McInnes from Oracle is going to share the conversational design strategies, tactics, and examples. He will touch on the NLP capabilities that need to be considered for every chatbot when formulating the design principles. He will talk about all the necessary ‘plumbing’ required like data, integration and other backend systems that need to come together. And of course, he will talk about what conversational designers do and what their DNA is to make ‘intelligent chatbots.’ About Don McInnes: https://www.linkedin.com/in/don-mcinnes/

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  • Hands on Lab - Test Drive an Autonomous Data Warehouse Powered by AI/ML

    Oracle Building 4, SCA 23, Room # 1740

    An autonomous database is a cloud database that uses machine learning to eliminate the human labor associated with database tuning, security, backups, updates, and other routine management tasks traditionally performed by database administrators (DBAs). Autonomous Data Warehouse is built around the market leading database and comes with fully automated data warehouse specific features that deliver outstanding query performance. This lab walks you through the steps to get started using the Autonomous Data Warehouse (ADW). You will learn: 1) Learn how to deploy a data warehouse in a matter of minutes. Run workloads with only a few clicks without any manual tuning. 2) Scale storage and compute resources independently with database services running and with no downtime. 3) Run faster analytics on diverse data sets and have power for things like faster visual analytics and predictive pattern management. This hands-on workshop is for all machine learning experts, data scientists, DBAs, and developers who want to learn how a self-driving, self-repairing, and a self-securing data warehouse works on highly performant infrastructure. Bios of our workshop crew: Nicole Bordwell is a Solution Engineer supporting Cloud Trials at Oracle. Nicole helps SMB to Enterprise customers with architecture plans for POCs and supports customers getting started with Oracle cloud for all PaaS and IaaS. Nicole holds an Industrial Engineering Degree from California Polytechnic, in San Luis Obispo. She spends her free time with her family, dancing, traveling, volunteering, and event coordinating. Sai Valluri -Sai Valluri is a Product Marketing Manager with the DB Product Marketing Group at Oracle. In his previous roles, Sai donned multiple hats including Business Development, Alliances, Program Management and Pre-Sales. Sai holds a Master's in Analytics from Saint Mary’s College of California and Project Management Certificate from University of California, Los Angeles. He spends his spare time with his family, photography, and volunteers with a couple of non-profits in the Bay Area.

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  • Building, Deploying, Monitoring Cloud Native Apps using Big Data, AI and ML

    Oracle Building 4, SCA 23, Room # 1740

    This event is sponsored by Oracle. ========================================================= 6:00 P.M. - 6:30 P.M. NETWORKING / INTRODUCTION 6:30 P.M. - 7:15 P.M. Session 1 Manish Kapur, Director of Product Management at Oracle This session will provide an overview on building and deploying cloud-native apps intelligently using the DevOps tool stack. It will also touch on Oracle's Container Engine for Kubernetes apart from CI/CD, monitoring, and testing tools. 7:15 P.M. - 7:25 P.M. Q/A 7:25 P.M. - 7:55 P.M. Session 2 Shyam Sarkar, Founder and CEO, Ayushnet In this session, Shyam will talk about "Multi-chain economic model". This talk will involve Blockchain, Deep learning on image/audio/video in economic processes, cloud based deep learning/machine learning on big data for intelligent services and discovering economic models from distributed ledgers collected from economic processes. There will be discussions on possibilities for integration of AI and Relational DBMS. This talk will be based on following theme : http://www.globalbigdataconference.com/santa-clara/global-data-science-conference-98/speaker-details/shyam-sarkar-62218.html . 7:55 P.M. - 8:00 P.M. Q/A =========================================================

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  • Workshop: Build Your First AI-Powered Intelligent Chatbot as Digital Assistant

    Oracle Building 4, SCA 23, Room # 1740

    Chatbots are one of the first widespread uses of Artificial Intelligence and Natural Language Processing. They enable end users to interact with data or a service in the most natural way possible: through natural languages and a conversational UI. In this hands-on lab, you will get your hands dirty with this new technology that is set to transform the way we interact with enterprise services. You will develop and train the chatbot by defining intents, utterances, and entities. You will then design the conversation flow, connect the chatbot to a back-end APIs, and expose the chatbot in Facebook Messenger. The session also covers ways to surface the chatbot to other messaging applications such as WeChat and Line, voice assistants such as Alexa and Siri, and custom clients that can run inside a mobile app or web app. Attendees must have a Facebook account to participate. Students will learn about conversational design, asynchronous messaging, and conversational analytics. Who this workshop is for: Tech enthusiasts and developers are encouraged to join--no development experience required. What you will learn: Introduction to different conversational interfaces Introduction to building a typical chatbot and best practices Agenda: Welcome and Intro to Chatbots Build your First Chatbot Questions, Closing, and Networking What to bring: Your laptop and charger. Why you should learn to create chatbots: Chatbots are unlike any other communication method or marketing channel because brands now have a direct, one-to-one line to customers. Conversational data is unprecedented because we can understand what users want because they tell us exactly what they think using their own words, images, or emojis. The bot ecosystem opens up new job opportunities with the need for developers, conversational experience designers, and more!

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  • Deep Learning and Blockchain Smart Contracts

    Fremont Main Library, Conference Room Fukaya A

    3:00 P.M. - 3:30 P.M. Networking/Introduction 3:30 P.M. - 4:30 P.M. Session 1 Title: Deep Learning and Blockchain Smart Contracts Speakers: Dr. Shyam Sarkar, Big Data Science Organizer and Ayush Sarkar, AyushNet Abstract: Models can be trained separately, transported and then used in blockchain smart contracts for AI from various objects, images, signatures and texts in documents. Models can also be distributed over nodes in a blockchain for identification processes through collusion. Database support along with a new model for AI will also be discussed. Speaker Bios: Dr. Shyam Sarkar is an entrepreneur in Big Data industry. He has thirty years of experience in database research and development. He has multiple patents and publications. Ayush Sarkar is a software researcher / developer with experience in mathematical modeling and analysis. He is a computer engineering senior at University of Illinois, Urbana Champaign. 4:30 P.M. - 4:40 P.M. Q/A

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  • Big Data Science @ DataWorks Summit, 2018

    McEnery Convention Center

    6:00 P.M. - 6:30 P.M. NETWOKING / INTRODUCTION 6:30 P.M. - 7:00 P.M. Session 1 Title: Five applications of AI powered Document Processing Speaker: Shanti Subramanyam, Co-founder and CEO of Orzota Abstract: In many industries such as Legal, Finance and Insurance, a lot of process workflows are driven by documents. In addition to taking up a lot of time, effort and cost, ensuring accuracy and consistency is a real concern. One of the key promises of AI is to automate manual process and increase accuracy. Join us for this session where we look at five different industry use cases of applying AI techniques to document processing workflows. Speaker Bio: Shanti Subramanyam is the Founder and CEO of Orzota, Inc. Shanti has decades of experience in building distributed applications and scalable systems having worked in companies such as Yahoo! and Sun Microsystems before founding Orzota. She is a technical leader and consultant, architecting Big Data and AI solutions for bleeding-edge startups as well as large enterprises. 7:00 P.M. - 7:05 P.M. Q/A 7:05 P.M. - 7:35 P.M. Session 2 Title: Deep Learning and Blockchain Smart Contracts Speakers: Dr. Shyam Sarkar, Big Data Science Organizer and Ayush Sarkar, AyushNet Abstract: There will be discussions on deep learning with images using Keras and TensorFlow. Convolutional neural networks, different types of layers, weights, optimizations and classifications will be discussed for creating, saving and reusing models in Keras. There will be discussions on python support for Ethereum and HyperLedger. Models can be trained separately, transported and then used in blockchain smart contracts for AI from various objects, images, signatures and texts in documents. Models can also be distributed over nodes in a blockchain for identification processes through collusion. Database support along with a new model for AI will also be discussed. Speaker Bios: Dr. Shyam Sarkar is an entrepreneur in Big Data industry. He has thirty years of experience in database research and development. He has multiple patents and publications. Ayush Sarkar is a software researcher / developer with experience in mathematical modeling and analysis. He is a computer engineering senior at University of Illinois, Urbana Champaign. 7:35 P.M. - 7:40 P.M. Q/A This event is sponsored by DataWorks Summit.

  • Big Data Science and Modern Revolutionary Storage

    Conference Center

    This event is sponsored by pavilion data systems (http://www.paviliondata.com/) 1 P.M. - 1:30 P.M. Networking 1:30 P.M. - 1:45 P.M. Introduction 1:45 P.M. - 2:45 P.M. Session 1 and session 2 Topic: Impact of Modern Revolutionary Storage on Data and Analytics by Pavilion Data Systems Abstract: While the demands for processing an increasing amount of data increases, little attention is paid to how new technology is making it possible to re-architect big data applications and simplify the procurement and operation of the supporting hardware required. With the advent of NVMe and NVMe-Over-Fabric, large-scale infrastructure used to host big data applications can be re-thought in fundamental ways since the compute resources can now be separated from storage. Savings in power, cooling, hardware costs, and operational costs can be realized when deploying Pavilion with HADOOP/HDFS, Spark, Cassandra, MongoDB, Clustered MYSQL, and other parallel high-scale big data applications like Machine Learning, AI, Deep Learning and High Performance Computing. Speaker: Sanjay Sabnis, Director Of Technology , Data and Applications Speaker Bio: Sanjay is passionate about data-intensive technologies and he has worked as a solutions architect on many big data projects. He has experience using applications in Pavilion’s focus area and has performed large data infrastructure design and setup at companies like Datastax, BestBuy, Apple, Verizon, Arrayent for IoT/Retail/Telco and for financial use cases at Visa. He has seen firsthand the challenges involved in the infrastructure procurement and deployment in data centers for big data projects, where performance is critical but often the infrastructure used to run applications is a second thought. Implemented large scale data analytics platforms in enterprises, a technology evangelist and adviser. AND Speaker: Jeff Sosa , Head of Products Speaker Bio: Jeff is in charge of Product Marketing and Management at Pavilion Data Systems, and brings over a decade of enterprise storage product experience to Pavilion. Jeff comes from Western Digital, where he ran the HGST PCIe/NVMe SSD business. In this role, along with his prior roles at Virident (Western Digital) and Fusion-io, Jeff focused on low latency storage products that powered some of the largest scale-out database deployments in the world. Jeff also held Senior Product Management and Marketing roles at DataDomain (EMC), PathScale (QLogic), NetApp, and Brocade. Jeff spent many years in engineering prior to transitioning to Marketing, including eleven years at Tandem Computers (HP NonStop). 2:45 P.M. - 3:00 P.M. Q/A 3:00 P.M. - 4:00 P.M. Networking Snacks and Beverages are provided and there is plenty of Parking.

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  • Big Data Science@Global AI Conference, 2018

    Santa Clara Convention Center, Room 203