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2nd Annual Global Data Science Conference, March 7-9, Santa Clara


2nd Annual Global Data Science conference features sessions on sharing real world experiences, how to create a balanced big data science team, interesting panels, keynotes by top experts, and a workshop. Use code KDNUGGETS to save.



Global Data Science conference, March 7-9 2016, Santa Clara

Global Big Data Conference, the leading vendor agnostic conference, is organizing its 2nd Annual Global Data Science conference on March 7-9 2016 at Santa Clara Convention Center. Global Data Science Conference emphasizes on sharing real world experiences, how to create a balanced big data science team, Panel Sessions, Keynote Sessions and workshop.

Who’s Speaking?

  • Random Forests: How a Chance Driven Learning Machine Does So Spectacularly Well on Marketing Datasets (Dan Steinberg, CEO, Salford Systems)
  • Big-Data analytics misconceptions (Irad Ben-Gal, Chairman, Stanford University)
  • Create impact at scale by data-driven applications (Leo Li, Analytics Leader, LinkedIn)
  • How Comcast uses Data Science and Machine Learning to improve the Customer Experience (Jan Neumann, Data Science Team Lead, Comcast)
  • Solving Fundamental Data Science Problems @Scale in Retail (Vijay Agneeswaran, Director -Data Sciences,Tally Analytics)
  • Hunting Criminals with Hybrid Analytics (David Talby, Chief Technology Officer, Atigeo)
  • Using Analytics to Drive Change in the Workforce (Genetha Gray, Data Scientist, Intel)
  • Structuring Data for Self-Serve Customer Insights (Jim Porzak, Data Scientist, DS4CI)
  • Detect Sensitive Data in Hadoop Clusters (Benoy Antony, Founder, DataApps)
  • Case studies in connecting Devices to cloud - experience of an Indian Startup (Janakiram Dharanipragada, Senior Researcher, IIT, Madras)
  • Introduction to Machine Learning & Predictive Analytics using R - Workshop (Sudhir Wadhwa, Chief Technology Officer, DataTiles.Io)
  • Predicting The Future: Surprising Revelations From Truly Big Data (Pushpraj Shukla, Principal Data Scientist, Microsoft)
  • Detecting Anomalies in Streaming Data, Evaluating Algorithms for Real-world Use (Alexander Lavin, Research Engineer, Numenta)
  • Building a Predictive Intelligence Engine (Viral Bajaria, Chief Technology Officer, 6sense)
  • How to Build a Better Network of Community Care Providers Using Data (Mohamed Elmallah, Manager, Children's Hospital of Los Angeles)
  • User behavioral predictive analytics through deep learning-based emotion recognition (Jr Alaoui, CEO, Eyeris)
  • Hybrid Artificial Intelligence (Manuel Ebert, CEO, Summer.ai)

Panel Discussions:

  • The Future of Data Science
  • Solving Business Problems With Data Science

Who Should Attend

Data Scientist, Statistician, CEO, SVP/VP, C-Level, Director, Global Head, Manager, Decision-makers,  Business Executives, Analysts, Project managers, Analytics managers, Sales, Marketing, human resources, Engineers, Developers, Architects,  Professional Services, Data Analyst, BI Developer/Architect, QA, Performance Engineers, Data Warehouse Professional, Sales, Pre Sales, Technical Marketing, PM, Teaching Staff,  Delivery Manager and other line-of-business executives

Please register ASAP to take advantage of discount. Seats are limited (up to $200 discount )
Use Promotional code KDNUGGETS and register

Agenda | Speakers | Register


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