Biplav Srivastava

Distinguished ACM Speaker, IBM Research, New Delhi, India

Biplav Srivastava

Dr. Biplav Srivastava, Senior Researcher & Master Inventor, IBM Research and an ACM Senior Member and Distinguished Speaker, is based out of New Delhi, India. His research deals with enabling people to make rational decisions despite real world complexities of poor data, changing goals and limited resources. His expertise is in Artificial Intelligence, Services and Sustainability, where he has proven track record of high-quality innovation in the global business environment. Biplav’s current focus is on open APIs and data, and their real world usage in enterprise integration. As part of this, he represented IBM at W3C’s working group on Government Linked Data and is active in open data and AI circles. Previously, he had explored influential web services techniques in this space.

 Biplav received Ph.D. in 2000 and M.S. in 1996 from Arizona State University, USA and B.Tech. in 1993 from IIT-BHU, India, all in Computer Science. He has 19 years of experience in industrial and academic research as well as commercial, deadline-oriented, software development in both India and US. He has 100+ research papers published including all top fora in his fields, 30 US Patents issued and 40+ applications.  Biplav actively participates in professional services globally including running the ‘AI in India’ virtual Google group, organizing conference tracks, workshops and as a Program Committee member for more than 50 events. More details can be found at:

Title: Big, Open, Data and Semantics for Real-World Application Near You

State-of-the-art Artifical Intelligence (AI) and data management techniques have been demonstrated to process large volumes of noisy data to extract meaningful patterns and drive decisions in diverse applications ranging from space exploration (NASA’s Curiosity), game shows (IBM’s Watson in Jeopardy™ ) and  even consumer products (Apple’s SIRI™ voice-recognition). However, what stops them from helping us in more mundane things like fighting diseases, eliminating hunger, improving commuting to work, or reducing financial frauds and corruption? Consumable data! 

In this talk, Biplav will demonstrate and discuss how large volumes of data (Big), made available publicly (Open), can be  productively used with semantic weband analytical techniques to drive day-to-day applications. One important source of this type of data is government open data  which is from governments and free to be reused.

Big Open Data is leading to early examples of “open innovations” – a confluence of open data (e.g.,,, accessible via API techniques (e.g., Open 311), annotated with semantic information (e.g., W3C ontologies, and processed with analytical techniques (e.g., R, Weka) to drive actionable insights.  The talk will illustrate how this can help bring increased benefits to citizens and discuss research issues that can accelerate its pace. It is increasingly being adopted by progressive businesses and governments to drive innovation that matters.