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Delivering on the Promise of Big Data

Sponsored
Ballroom F
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The real promise of big data isn’t about merely doing analytics cost-effectively and at scale; it’s about discovery. Data discovery means uncovering hidden patterns from disparate sources without needing to know which questions to ask or the data relationships in advance.

In this presentation, you will gain knowledge from a number of diverse use cases: a large cancer research organization is using a systems biology approach to model the growth of cancer cells at the molecular level; a government organization is heightening its security efforts to detect cyber-threats; financial organizations are augmenting their analytics to better measure risk and maximize gains; even a major sports team is optimizing their performance by clustering groups of players based on the similarity of their attributes.

Attend this session to learn more about these examples and how to access unknown insights and important but unpredictable relationships in your own data.

This session is sponsored by Yarcdata

Photo of Arvind Parthasarathi

Arvind Parthasarathi

President, YarcData

Arvind Parthasarathi serves as President of YarcData, a Cray company, focused on delivering business solutions for the growing Big Data market. Mr. Parthasarathi joined Cray from Informatica Corporation where he was Senior Vice President and General Manager of the company’s Master Data Management business unit. There he led a global team delivering business-focused data management solutions for life sciences, financial services, retail, manufacturing, healthcare and government. Previously, he served as Vice President of Product Management for Informatica’s data quality products, and as Senior Director responsible for data migration and data integration solutions. Prior to joining Informatica in 2005, Mr. Parthasarathi was Director of Product Management at i2 Technologies where he was responsible for data-centric supply chain applications including RFID and Event Management. Mr. Parthasarathi holds a bachelor’s degree in computer science from the Indian Institute of Technology and a master’s degree in computer science from the Massachusetts Institute of Technology.