6th Annual Global Big Data Conference Santa Clara August 2018
from Tuesday, August 28, 2018 10:00AM to Thursday, August 30, 2018 8:00PM
Ticket Information
Event Details
Global Big Data Conference, the leading vendor agnostic conference for the Big Data (Hadoop, Apache Spark, IoT, Security, NoSQL, Data Science, Machine Learning, Artificial Intelligence & Predictive Analytics) community, is now announcing its fourth annual event (Aug 28 - Aug 30 2018). The 6th Annual Global Big Data Conference is extended to three days based on feedback from participants. The event will feature many of the Big Data thought leaders from the industry. Annual Global Big Data Conference is an event acclaimed for its highly interactive sessions. Speakers will showcase successful industry vertical use cases, share development and administration tips, and educate organizations about how best to leverage Data (Big Data, Smart Data, Fast Data, Little Data) as a key component in their enterprise data architecture. It will also be an excellent networking event for Executives( CXO's, VP, Directors), Managers, developers, architects, administrators, data analysts, data scientists, statisticians and vendors interested in advancing, extending or implementing Big Data. Managing Big Data has become a major competitive advantage for many organizations and hence maintaining a proper analytics platform is vital for an organization's survival. This conference provides insights and potential solutions to address Big Data issues from well known experts and thought leaders through panel sessions and open Q&A sessions. What you will learn You'll get up to speed on emerging techniques and technologies by analyzing case studies, develop new technical skills through in-depth workshop, share emerging best practices in big data (Hadoop, Spark, IoT, Security, NoSL, Data Science, Deep Learning, Machine Learning, Artificial Intelligence, Chatbots, Predictive Analytics, Docker, Containers, Microservices), and future trends. The depth and breadth of what's covered at the 5th annual Global conference requires multiple tracks. You can either follow one track from beginning to end or pick the individual sessions that most interest you. 1. Industry Vertical Use Cases 2. Hadoop & Beyond 3. Spark & Beyond 4. Artificial Intelligence, Deep Learning, Machine Learning, Data Science & Predictive Analytics 5. IoT 6. Security 7. Containers 8. Microservices 9. Cognitive Computing 10. Chatbot 11 NLP 12. Computer Vision 13. Home Assistant 14. Robotics 15. Neural networks 16. Data Mining and Data Analytics 17. Speech Recognition, Image processing, Unsupervised Learning 18. Workshops Conference Highlights 1000+ attendees 100+ Speakers 80+ Sessions Great Networking opportunity Workshops Keynote Sessions Startup Pitch Event Info:http://globalbigdataconference.com/105/santa-clara/6th-annual-global-big-data-conference/event.html Speakers:http://www.globalbigdataconference.com/santa-clara/6th-annual-global-big-data-conference/speakers-105.html Agenda:http://www.globalbigdataconference.com/santa-clara/6th-annual-global-big-data-conference/schedule-105.html 6th Annual Global Big Data Conference Day -1 ( Aug 28 8:00AM- 7:30PM ) 8:00 AM - 9:00 AMRegistration 9:00 AM - 9:40AM General Keynote Session: AI And The Power Of Storytelling (Miguel Campo, SVP, Fox) (Room 203) 9:40 AM - 10:20AM Keynote - Blockchain Track: Blockchain, AI, And Augmented Finance (Haden Kirkpatrick, VP Marketing, Esurance) ( Room 203) Big DataTrack: Best Practices in Data Warehousing in the Cloud (Aaron Werman, Lead Data Strategy, EDW.Cloud) (Room 212) AI Track: In Search Of Better Recommendation Systems Based On Neural Networks (SK Reddy, Chief Product Officer AI & ML, Hexagon) (Room 201) AI Use Case Track: Petabyte Scale AI Platform & Data Applications (Ganesh Harinath, VP of Engineering AI Platform & Applications, Oath A Verizon Company) (Room 209) 10:20AM -10:40AMMorning Break 10:40 AM - 11:20AM Blockchain Track: How blockchain will disrupt the enterprise (Rishi Yadav, CEO, Zettabytes)(Room 203) Finance Track: Deep Learning Techniques For Customer Service Optimization (Rajesh Munavalli, Senior Data Scientist, PayPal) (Room 201) Keynote - AI Track: One Smooth Stone: How To Beat Goliath With Quality Training Data (Jennifer Prendki, VP AI and Machine Learning, Figure Eight) (Room 209) Big Data Track: Using AI to Solve the Big Data Problem (Christopher Rafter, COO & CTO, Inzata) (Room 212) 11:20AM - 12:00PM Blockchain Track : Manufacturing Blockchain (Jeremy Goodwin, CEO, SYNCFAB CO.) (Room 203) AI Track: Keeping up with the news: Tips and Tricks (Olya Gurevich, Natural Language Scientist, Marvelous AI) (Room 212) AI Track: Real-Time, Multi-Cloud ML/AI with PipelineAI, TensorFlow, GPU, TPU, Spark, Kafka (Chris Fregly, Founder and Research Engineer, PipelineAI) (Room 201) AI Use case Track: How Machine Learning Powers On-Demand Logistics At DoorDash (Raghav Ramesh, Data Scientist, DoorDash) (Room 209) 12:00 PM - 1:00PMLunch Break 1:00PM - 1:40PM Blockchain Track: Blockchain Track: A Framework for Analyzing ICOs (Glenn Gow, Head of Blockchain, Clear Ventures) (Room 209) AI Track: Discovery In Commerce Search (Dr. Anjan Goswami, Director Data Science, Salesforce) (Room 203) E-Commerce/Retail Track: Big Data In Retail And E-Commerce With Emphasis On Personalization @ Scale (Ken Fenyo, Executive Leader, Fuel by McKinsey) (Room 201) 1:40PM - 2:20PM Blockchain Track: Real Time Management Of IoT Data Using The Blockchain And A Distributed Network (Anoop Mohan, Executive Advisor, AnyLog) (Room 212) AI Track: Big Data And Deep Learning: A Tale Of Two Systems (Zhenxiao Luo, Software Engineer, Uber) (Room 203) E-Commerce/Retail Track: Powering Customer Experiences through Data Science -Machine Learning, Statistical Modeling and Beyond (Tanumoy Ghosh, Director, Gap) (Room 209) AI Track: Conversational AI: What We’ve Learned From Millions Of AI Conversations For Thousands Of Customers (Dr. Sid J Reddy, Chief Scientist, Conversica) (Room 201) 2:20PM - 3:00PM Keynote Panel : AI & Blockchain from Investment perspective ( Room 203) Lee Chang, (VP, Baidu Ventures) Sanjit Dang (Investment Director, Intel) Kartik Gada (Executive Director, Woodside Capital) - Moderator AI Track: Architecture Lifecycle Integrity Of Reactive Metadata Models In Association To The Cognitive Contextualization (Vikas Shah, Director, Ernst & Young) (Room 201) AI Track: The Unspoken Truths Of Deploying And Scaling ML In Production (Nisha Talagala, Chief Technology Officer, ParallelM) (Room 212) E-Commerce/Retail Track: Data Science and Enterprise Engineering (Michael Finger, Director, Overstock.com) (Room 209) 3:00PM -3:30PMAfternoon Break 3:30PM - 4:10PM Blockchain Track : Blockchain Use Cases And Analytics (Karen Hsu, VP, BlockCypher) (Room 201) AI Track: Powering Business Intelligence With NLP (Nikki Hallgrimsdottir, Co-Founder, Algomus) (Room 212) E-Commerce/Retail Track: Cisco eCommerce: Building AI powered chatBOTs, leveraging deep learning algorithms and OCR (Dharmesh Panchmatia, Sr. Director Director of eCommerce & Gaurav Goyal, Principal Architect, Cisco) (Room 203) General Track: The Journey From A Satisfied Stakeholder To A Sponsor (Ramkumar Ravichandran, Director & Sofia de Santos Huerta, Industry Analyst, Visa) (Room 209) 4:10PM - 4:50PM Blockchain Track : Blockchain In Commodity Trading And Transportation (Alexander Varvarenko, CEO, ShipNEXT) (Room 212) AI Track: How Artificial Intelligence Can Deliver Value To Companies (Krishnan Venkata, VP, LatentView Analytics Corporation) (Room 209) E-Commerce/Retail Track: The Future Of Experiential Retail With IoT, Big Data, And Augmented Reality (Gary Nakanelua, Managing Director, Blueprint Technologies) (Room 201) Keynote Panel: Women in AI & Blockchain (Room 203) Tammy Camp (CEO, Stronghold) Karen Hsu (VP, BlockCypher) Nikki Hallgrimsdottir (Co-Founder, Algomus) Jennifer Prendki (VP AI and Machine Learning, Figure Eight) Nisha Talagala (Chief Technology Officer, ParallelM) Aarthi Srinivasan (Director, Target) - Moderator 4:50PM - 6:00PM Keynote Panel: The Future of Blockchain ( Room 209) Tammy Camp (CEO, Stronghold) Haden Kirkpatrick (VP Marketing, Esurance) Karen Hsu (VP, BlockCypher) Michael Slinn (CTO, Micronautics Research Corp) Keynote Panel: Solving Business Problems with AI ( Room 203) Prakash Muppirala (CTO & President, Restoration Hardware) Aarthi Srinivasan (Director, Target) Tanumoy Ghosh (Director, Gap) Ramkumar Ravichandran (Director, VISA) Mahesh Kumar (CEO, Tiger Analytics) - Moderator 4:50PM - 5:30PM AI Track: How To Cost Effectively And Reliably Build Infrastructure For Machine Learning (Osman Sarood, Member Technical Staff, Mist Systems) (Room 201) General Track: Creating A Successful Analytics Program (Dewayne Washington, CIO & CTO, The Business of Intelligence) (Room 212) 5:30PM - 6:00PM General Track: The Collision Course Between Big Data, Privacy, Ethics And Regulations (Ashwin Krishnan, Advisor) (Room 212) Big Data Use Case Track: SAS Techniques To Handle Big Data Execution Time (Kaiqing Fan, Developer Advocate, PNC Bank) (Room 201) 6:00PM - 7:30PM PM Reception Workshop - Conference Room 207 8:00 AM - 9:00 AMRegistration 9:00 AM - 12:00PM Workshop : Visualizing Geospatial Data On GPUs With MapD (Veda Shankar, Lead Developer Evangelist, MapD) 12:00 PM - 1:00PMLunch Break 1:00 PM - 2:00PM Workshop : Visualizing Geospatial Data On GPUs With MapD (Veda Shankar, Lead Developer Evangelist, MapD) (Contd..) 2:00PM - 6:00PM Workshop : IoT Prototyping Workshop (Sam Tawfik, Director, Level) Day - 1 (Aug 28th Exhibit Hours) 9AM-7:00PM (Room 210) Office Hours with Executive Speakers- Room 206 8:00 AM - 8:30 AMRegistration 8:30 AM - 12:00PM Office Hours with Executive Speakers 12:00 PM - 1:00PMLunch Break 1:00PM - 6:00PM Office Hours with Executive Speakers Day -2 (Aug 29 8:30AM- 6:00PM ) 8:30 AM - 9:00 AMRegistration 9:00 AM - 9:40AM General Keynote Session : Why Healthcare is Hard: A Data Scientist's Perspective (Patrick McNamara, Director, Aetna) (Room 203) 9:40 AM - 10:20AM Blockchain Track: Evaluating Blockchain Companies (Michael Slinn, CTO, Micronautics Research Corp) (Room 203) Healthcare Track: Classification Of Diabetic And Non-Diabetic Retinopathy From Optical Coherence Tomography Images Using Transfer Learning (Roberto Reif, Data Scientist, Metis) (Room 201) Autonomous Vehicles Track: The future of Mobility (Sheetal Patil, Product Management, Visteon) (Room 212) AI Track: The Power of Monotonicity to make ML Make Sense (Sen Zhao, Data Scientist, Google) (Room 209) 10:20AM -10:40AMMorning Break 10:40 AM - 11:20AM Blockchain Track: How Blockchain Transforms B2B Transactions (Payson Johnston, CEO, Crowdz) (Room 201) AI Track: Is The Market Predictable? (Shankar Vaidyanathan, CEO, Noonum) (Room 212) Keynote - Autonomous Vehicles Track: Are We There Yet? The Trends and Opportunities of Automotive IoT (Vince Socci, VP, National Instruments) (Room 203) AI Track: The Faces Behind The Data Points: Combating AI Bias In Product Development (Diana Saafi, Data Scientist, Viacom) (Room 209) 11:20 AM - 12:00PM Blockchain Track : The Blockchain Train - Is It Time To Get On Board? (Paul Heirendt, Founder, BLOCK id) (Room 212) AI Track: Deep Learning And Natural Language Processing For Product Title Summarization (Joan Xiao, Data Scientist, Figure Eight) (Room 201) Autonomous Vehicles Track: Unpredictable Predictions Of Self-Driving Cars AI. Handling Inference In Anomalous Ever Changing Environment (Stepan Pushkarev, Chief Technology Officer, Hydrosphere.io) (Room 209) AI Track: Accelerated Spark On Azure: Seamless And Scalable Hardware Offloads In The Cloud (Yuval Degani, Director Engineering, Mellanox Technologies) (Room 203) 12:00 PM - 1:00PMLunch Break 1:00PM - 1:40PM Blockchain Track : Alignment Of Interest In Token Economies (Steve Beauregard, Partner, Bloq) (Room 201) Autonomous Vehicles Track: Connected and Autonomous Vehicles: Big Data Challenges and Opportunities (Jason Conley, President & CEO, OmniAir Consortium) (Room 209) AI Track: Implementing AutoML Techniques At Salesforce Scale (Matthew Tovbin, Principal, Salesforce) (Room 203) Big Data Track: Big Data And ML Ties Together To Deliver Customer 360 And Leverage Technologies Like Hadoop, NoSql And Cloud (Neeraj Sabharwal, Head of Technology, Xavient) (Room 212) 1:40PM - 2:20PM Blockchain Track : ICO Landscape (Mark Javier, Manager, Ambisafe) (Room 201) Keynote - AI Track: Improve Customer Experience Through Multi-Arm Bandit Subtitle: A Reinforcement Learning-Based Optimization (Anando Sen, Product Management & Jeremy Gu, Data Scientist Uber) (Room 203) Big Data Use Case Track: Migrating On Prem Big Data Systems To The Cloud (AWS) (Nicholas Berg, Director, Seagate Technology) (Room 209) Security Track: Applying Machine Learning In Cybersecurity (Walid Daboubi, Data Scientist, Richemont) (Room 212) 2:20PM - 3:00PM Big Data Use Case Track: How HP Megatrends Influence The Focus On Big Data (Christine Hawkins, Director, HP Inc) (Room 201) AI Track: Recent Advances In Deep Learning And Tensorflow (Sourabh Bajaj, Software Engineer, Google Brain) (Room 203) Autonomous Vehicles Track: Safe probabilistic computing (Jonathan Moore, Director, exida) (Room 209) Security Track: Malware Detection using Deep Neural Network (Nahid Farhady, R&D Technology Associate Manager, Accenture Cyber Labs) (Room 212) 3:00PM -3:30PMAfternoon Break 3:30PM - 4:10PM Blockchain Track: Driving Supply Chain Innovation Using Blockchains (Sharad Malhautra, Senior Manager, EY) (Room 201) AI Track: Hidden Wins In Data Engineering (Juhi Singh, Data Engineer, Coursera) (Room 203) Big Data Track: Big Data for the Development of the Next Generation Mobility Experience (Moritz von Grotthuss, CEO, Gestigon - a VALEO brand) (Room 212) Autonomous Vehicles Track: Coverage and claims trends in a connected-car world (Sandee Perfetto, Director, Verisk Analytics) (Room 209) 4:10 PM - 4:50 PM AI Track: How Azure Databricks and Pyspark helped make IOT Analytics a Reality (Prasad Mecheri Chandravihar, Data Science Team Lead, Lennox International)(Room 201) AI Track: Spreadsheets To Self-Describing Smart Data (Bryon Jacob, CTO & Founder, data.world) (Room 212) AI Use Case Track : Building Computer Vision Tools To Study And Evaluate The Development Of Visual Attention In Infants (Qazaleh Mirsharif, Data Scientist, Figure Eight) (Room 209) Autonomous Vehicles Track: Autonomous vehicles in multi modal transportation including Ride Sharing and Last Mile shuttles (Gaurav Agarwal, Head of Business Development & Strategy, Autonomous Vehicles, Ola) (Room 203) 4:50 PM - 6:00 PM Keynote Panel: The Future of Autonomous Vehicles (Room 203) Sandee Perfetto (Director, Verisk Analytics) Gaurav Agarwal (Head of Business Development & Strategy, Autonomous Vehicles, Ola) Vince Socci (VP, National Instruments) Stepan Pushkarev (CTO, Hydrosphere.io) Jonathan Moore (Director, exida) ICO Pitch Competition 4:50PM - 5:30PM AI Track: How To Rebuild Data And ML Platform Using Kinesis, S3, Spark, MLlib, Airflow And Upwork (Thanh Tran, Director, Upwork) (Room 201) Big Data Track: Plot Big Data Using SAS (Kaiqing Fan, Developer Advocate, PNC Bank) (Room 212) 5:30PM - 6:00PM AI Track: Analytics Powered By Conversation (Adrien Schmidt, CEO, Bouquet) (Room 201) AI Track: Data Science In 15 Mins & The Real Problems In Data Science (Nathaniel Tucker, Author, Data Talks) (Room 212) Workshop 1 - Meeting Room 207 9:00AM - 12:30PM Workshop: Two DL Workflows on AWS Sagemaker - Design, Training, and Deployment (Miro Enev, Data Scientist, Nvidia) ( Room 207) 1:00PM - 3:00PM Workshop: Getting Started With TensorFlow (Hans Hyttsten, Software Engineer, Google)( Room 207) 3:30PM - 6:00PM Workshop: Getting Started With TensorFlow (Hans Hyttsten, Software Engineer, Google) (Contd..) ( Room 207) Day - 2 (Aug 29th Exhibit Hours) 9AM-6:00PM (Room 210) Office Hours with Executive Speakers - Room 206 8:00 AM - 8:30 AMRegistration 8:30 AM - 12:00PM Office Hours with Executive Speakers 12:00 PM - 1:00PMLunch Break 1:00PM - 6:00PM Office Hours with Executive Speakers Day - 3 ( Aug 30 8:30AM- 7:00PM ) 8:30 AM - 9:00 AMRegistration 9:00 AM - 9:40AM General Keynote Session : Best and Worst Practices for Creating a AI/ML Practice: The Ten Labors of a Data Scientist (Ali Arsanjani, VP AI & ML, 8x8 Global Cloud Communication & Ex-CTO, IBM) (Room 203) 9:40 AM - 10:20AM Blockchain Track: Using Blockchain Technology To Make Your Data Trustworthy (Paul Snow, CEO, Factom) (Room 201) Keynote - Marketing Track: The State Of AI Marketing (Federico Gobbi, General Partner, AIMA - AI Marketing Association) (Room 203) AI Track: Scaling Unsupervised Machine Learning in Cloud Environment (Yuhao Zheng, Director, DataVisor) (Room 212) AI Track: AI Use Cases For The Manufacturing Industry (Karpagam Narayanan, Founder, eKryp) (Room 209) 10:20AM -10:40AMMorning Break 10:40 AM - 11:20AM Blockchain Track: Identity Data Exchanges Leveraging Blockchain Technology (Dmitry Barinov, Chief Technology Officer, SecureKey)(Room 201) Marketing Track: Artificial Intelligence In Sales & Marketing (Adnan Boz, Founder, Move to AI) (Room 212) Big Data Track: Enabling Real-Time Insight Over A Data Lake At Scale (Sanhita Sarkar, Director Engineering, Western Digital) (Room 203) AI Track: Best Practices For Deploying Machine Learning In The Enterprise (Robbie Allen, CEO, Infinia ML) (Room 209) 11:20 AM - 12:00PM Blockchain Track: Financial Inclusion Through Blockchain (Mir Haque, CEO, Aphaea Capital) (Room 201) Big Data Track: Connecting Silos: How HR Analytics Helps Win More Business And Breaks Down Barriers (Joseph Frank, Manager, Washington University in St. Louis) (Room 209) AI Track: Product Management Of AI Products (Manjeet Singh, Product Management, Servicenow) (Room 203) Big Data Track: Metadata And The Rise Of Big Data Governance: Emerging Solutions From Active Open Source Initiatives (John Mertic, Director, ODPi (The Linux Foundation)) (Room 212) 12:00 PM - 1:00PMLunch Break 1:00PM - 1:40PM Blockchain Track: Identity In The Digital World (Armin Ebrahimi, CEO, ShoCard) (Room 201) Healthcare Track: Start Of The Art Natural Language Understanding In Healthcare (David Talby, Chief Technology Officer, Pacific AI) (Room 209) AI Track: Applications Of Mixed Effect Random Forests (Sourav Dey, Founder, Manifold) (Room 212) Keynote - AI Track: A practical example of enabling Machine Learning functions in your enterprise (Hanlin Fang, Director, Workday) (Room 203) 1:40PM - 2:20PM Blockchain Track: Proof of Intelligence (Will Murphy, CEO, Cognifyd) (Room 209) Big Data Track: Starting Up In A Big Data World (Seema Khandkar, Senior Product Manager, CloudCar) (Room 201) AI Track: Role Of Open Industry Standards In Delivering AI In Enterprise Environments (Mark Rabkin, Director, Software AG) (Room 203) AI Track: Crowdsourcing Human Behaviors For Conversational Social Robot (Phoebe Liu, Machine Learning Engineer, Figure Eight) (Room 212) 2:20PM - 3:00PM Blockchain Track: ICO Platform On Blockchain (Tomoaki Sato, CEO, Starbase PTE) (Room 209) Big Data Track: Low Hanging Fruit, Making Your Basic MongoDB Installation More Secure (Tom Spitzer, VP Technologies, EC Wise) (Room 201) AI Track: Development And Optimization Of AI Based Video Analytics IoT End To End Systems (Harsh Kumar, Director, Intel) (Room 203) AI Track: Predictive Models For Integrated Care Engagement And Management (Eric Fiolkoski, Director, DaVita) (Room 212) 3:00PM -3:30PMBreak 3:30PM - 4:10PM Blockchain Track: How Humans Networked To Build A Blockchain Of Governance, Privacy, Cryptonomic Stability, And Personality (Bryan Doreian, Community Architect, PIVX) (Room 201) Big Data Track: How Big Data Transforms Wi-Fi Connectivity For Companies And Consumers (Tomasz Magdanski, Director, Ipass) (Room 212) AI Track: An Efficient ML-Based Algorithm For Mining Substitute Products (Amir Meimand, Data Scientist, Zilliant) (Room 209) AI Track: Using Deep Learning To Identify And Engage Selective, High-Value Audiences Of Digital Content (SK Sharma, Executive VP, Ingrooves) (Room 203) 4:10PM - 4:50PM Keynote - Autonomous Vehicles Track: Location Intelligence – Boosting Data-Driven Outcomes (Rajeev Rajan, VP, HERE Technologies) (Room 203) Blockchain Track: The Energy Blockchain In 20 Minutes (Garrett MacDonald, Chief Technology Officer, Energy Web Foundation) (Room 212) General Track: Age is not a barrier for Entrepreneurship (Taarini Dang, CEO, Dang Capital) (Room 201) AI Track: A Containerized Approach To Data Science (Rachel Silver, Product Management, MapR) (Room 209) 4:50PM - 6:00PM Keynote Panel: The Future of AI (Room 203) Rajeev Rajan (VP, HERE Technologies) Hanlin Fang (Director, Workday) Harsh Kumar (Director, Intel) SK Sharma (Executive VP, Ingrooves) ICO Pitch Competition Workshop 1 - Meeting Room 207 9:00AM - 12:00PM Workshop: Intro to Artificial Intelligence Workshop by Latinx in AI Coalition (Laura Montoya, CEO, Accel.ai) - ( Room 207) 1:00PM - 2:00PM Workshop: Intro to Artificial Intelligence Workshop by Latinx in AI Coalition (Laura Montoya, CEO, Accel.ai) - ( Room 207) 2:00PM - 6:00PM Workshop: Self Driving Cars (Bhairav Mehta, Manager, Apple) ( Room 207) Office Hours with Executive Speakers - Room 206 8:00 AM - 8:30 AMRegistration 8:30 AM - 12:00PM Office Hours with Executive Speakers 12:00 PM - 1:00PMLunch Break 1:00PM - 6:00PM Office Hours with Executive Speakers NOTE: Agenda and speakers subject to change without notice Refund Policy No refunds will be given for cancellations NOTE: Agenda and speakers subject to change without notice If you have any questions concerning 6th Annual Global Big Data Conference, please do not hesitate to contact [email protected] or Call 408-400-3769
Santa Clara Convention Center
5001 Great America Parkway Santa Clara CA USType: Eventbrite