Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Deepak Ramanathan
Chief Technology Office, SAS Asia Pacific

Website | @deepak

Deepak in his role as Chief Technology Officer, has been advising customers across the region on their
analytical strategies. Now in his 11th year at SAS, Deepak works with customers across industries in
identifying business issues which could benefit from an analytical outlook and helps these organizations in
rolling out these analytical solutions. Deepak also doubles up as an analytical evangelist, familiarizing
customers with analytical lifecycles, support structures for deploying, maintaining these initiatives and
developing an ecosystem which would sustain the framework.

Deepak current area of focus is around High Performance Analytics, working with clients to build use cases
and deploying it within the organization. He has been working with customers in Financial Services,
Manufacturing, Retail and Loyalty Optimization and Communications customers to identify and build the
appropriate business cases.

Deepak is based in Singapore and has been working with customers across the Asia Pacific region for the
last 7 years in what has been a thoroughly enjoyable experience.

Sessions

9:50am–9:55am Wednesday, 12/02/2015
Sponsored
Location: Summit 1-2
Deepak Ramanathan (SAS Asia Pacific)
Average rating: ***..
(3.15, 40 ratings)
Join this keynote presentation to get tips from the future and hear about key patterns emerging from a wide cross section of corporate and institutional Hadoop journeys. Perhaps they’ll inspire yours. Read more.
11:00am–11:40am Wednesday, 12/02/2015
Sponsored
Location: 333
Deepak Ramanathan (SAS Asia Pacific)
Average rating: **...
(2.75, 4 ratings)
With Hadoop becoming the chosen Data Platform across enterprises, analytical lifecycles are now being powered with Hadoop being the centrepiece for discovery and deployment. During this talk, attendees will get insights from organisations that are building and deploying thousands of analytical models into their operational environments. Read more.