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Hema Reddy
Program Director, IBM Systems Big Data and Analytics Portfolio Marketing, IBM

Hema Reddy is a Program Director with IBM Systems Unit, driving worldwide portfolio marketing for Big Data and Analytics offerings. She has 14 years of experience in development, strategic alliances creation, business development and marketing across IBM Power Systems, Storage, z Systems and Systems Software. Hema has a Bachelors and Masters in Computer Science and an Executive MBA Certification in Managerial Leadership from McCombs School of Business, UT Austin.

Big data trends: The top eight analytics lessons for business

Big data trends: The top eight analytics lessons for business

September 21, 2015 | by Hema Reddy, Program Director, IBM Systems Big Data and Analytics Portfolio Marketing, IBM
Big data and analytics technology is driving business forward, the newest natural resource in the ever-changing world of computing. Yet even in a constantly evolving industry, certain trends stand out. Take a look at what’s on the horizon for big data and analytics, and find out how it could affect...
Unlocking business value through enterprise Hadoop adoption

Unlocking business value through enterprise Hadoop adoption

June 12, 2015 | by Hema Reddy, Program Director, IBM Systems Big Data and Analytics Portfolio Marketing, IBM
Hadoop has opened the doors to applications that must handle extremely high volumes of data across hundreds or thousands of clusters to generate some very valuable insights on which today’s businesses depend in their quest to stay competitive and drive revenue.
Building better healthcare outcomes on solid infrastructure and analytics

Building better healthcare outcomes on solid infrastructure and analytics

May 8, 2015 | by Hema Reddy, Program Director, IBM Systems Big Data and Analytics Portfolio Marketing, IBM
Healthcare has evolved into a process of highly sophisticated technology and computing infrastructure to capitalize on years of analysis and historical data. It requires a robust ecosystem comprising big data and analytics; cognitive, cloud and mobile computing; social tools; and more.