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

Tags: CA, Data Science, Global Big Data Conference, 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 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