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White Paper

TCS Big Data Conclave

 

Big Data is a significant arena of competitive differentiation. At TCS Research, we see two fundamental aspects to Big Data: harnessing and harvesting. Unstructured data has to be converted into consumable structured form for useful interpretation.

The TCS Big Data Conclave convened at Santa Clara held discussions about emerging trends in this area. There were four keynotes from academic researchers, as well as five breakout sessions. We bring you some excerpts.

Session Anchors: 

  • Dr. Gautam Shroff, Vice President and Chief Scientist, TCS
  • Kevin Mulcahy, Head, Business Analytics Solutions, Consulting, North America, TCS
  • Ajay Bhargava, Director, Analytics & Big Data, TCS
  • Pratik Dhebri, Strategy & Business Development Lead, NextGen Solutions, TCS
  • Dr. Santosh Mohanty, VP, Head of Components Engineering, TCS

Keynote Address: 

  • Professor Jerry Friedman, Dept. of Statistics, Stanford University
  • Professor Ram Akella, University of California
  • Professor Hellerstein, Computer Science Professor, UC of California- Berkeley
  • Professor Jeff Ullman, Emeritus Professor, Stanford University

Inaugurating the event, Dr Satya Ramaswami, Global Head, Mobility Solutions and Big Data CoE, TCS, observed that Big Data brings an interplay between analytics, mobility, social media and cloud computing.

  • In the opening session – Big Data Analytical Techniques v/s Traditional, we discussed the role of data scientists in detail, with a focus on the role of collaboration in data analytics.
  • How can Big Data improve top-line revenue formed the integral part of the discussion during the session on the Business Impact of Big Data Analytics. 
  • In the next session, Next Generation Enterprise Analytics Organization, Big Data maturity, we discussed linking silos, exploring industry academia links. It was pointed out that demand for data scientists would shoot up to 50-60% higher than today’s requirement.
  • The Big Data Technology Landscape and Segmentation session highlighted security issues, pricing performance concerns, hardware upgrade challenges, etc.
  • The concluding session focused on Big Data and Traditional DW/BI.

These sessions were interspersed with interesting case studies.