Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Data risk intelligence in a regulated world

Uma Raghavan (Integris Software)
1:15pm–1:55pm Thursday, 09/29/2016
Average rating: ***..
(3.50, 2 ratings)

What you'll learn

  • Understand how to evaluate your existing data risk exposure
  • Explore US and international laws that can impact your ability to do business
  • Learn strategies on managing risk associated with how you use your customers’ data
  • Description

    Uma Raghavan explains why you’re about to see companies whose business models depend on using their customers’ data, like Facebook, Google, and many others, scramble to keep up with the flood of new and evolving laws on data privacy. Whether using your customers’ data, buying third-party data, or mashing it up to make derivative data to better market to customers, create better products and services, or provide customer support, you could be in violation of emerging data privacy laws from around the world that carry stiff fines (up to 5% of revenue) or even jail time for violations of the use of people’s personal data. Ultimately, using customer data is a balance between what your business needs to do to run efficiently and effectively and what the brand, regulatory, and legal risks are if you get caught in violation of the law. Join Uma to learn what’s needed to manage your data risk effectively.

    Photo of Uma Raghavan

    Uma Raghavan

    Integris Software

    Uma Raghavan is the cofounder and CTO of Integris Software, an early-stage enterprise data privacy startup. Prior to Integris, Uma was director of data infrastructure at eBay, where she was in charge of Oracle, SAN, the Oracle data access software layer, the NoSQL stack, cloud database platforms built on OpenStack, messaging and streaming technologies, and all the BI/analytics platforms that powered the eBay website and its internal applications. She is a 22-year veteran of the technology industry with successful track record of designing, building and operating complex large web-scale software systems that intersects with big data, analytics, and machine learning with cloud and distributed computing technologies. Previously, Uma was director of software development for Amazon’s outbound fulfillment systems worldwide during Amazon’s explosive growth phase, led Amazon’s global catalog systems, helped launch Amazon in Italy, Spain, and Japan, and helped build Arizona—Amazon’s CRM technology—Amazon’s wireless store, and Amazon’s Auctions platform and 3P initiatives; she also worked at Microsoft, Walmart, and Daimler Chrysler. Uma holds a master’s degree in computer science from Wayne State University.