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

Health care conference sessions

Leading companies that are getting the most out of their data are not focusing on queries and data lakes; they are actively integrating analytics into their operations. Jack Norris reviews three customer case studies in ad/media, financial services, and healthcare to show how a focus on real-time data streams can transform the development, deployment, and future agility of applications.
While other industries have embraced the digital era, healthcare is still playing catch-up. Kaiser Permanente has been a leader in healthcare technology and first started using computing to improve healthcare results in the 1960s. Taposh Roy, Rajiv Synghal, and Sabrina Dahlgren offer an overview of Kaiser’s big data strategy and explain how other organizations can adopt similar strategies.
Companies making data-driven decisions must consider critical legal obligations that may apply to the collection and use of data. Failing to do so has landed many tech stars and startups in hot legal water. Attorneys Kristi Wolff and Crystal Skelton discuss privacy, data security, and other legal considerations for using data across several industry types.
Nitin Kaul and Richard Baumgartner demonstrate how Merck applies descriptive, predictive, and prescriptive analytics leveraging parallel distributed libraries and the predictive modeling capabilities of Revolution R deployed on a secure Hadoop cluster to identify the various factors for product temperature excursions and predict and prevent future temperature excursions in product shipments.
The need to find efficiencies in healthcare is becoming paramount as our society and the global population continue to grow and live longer. Navdeep Alam shares his experience and reviews current and emerging technologies in the marketplace that handle working with unbounded, de-identified patient datasets in the billions of rows in an efficient and scalable way.
Joanne Chen explores how data science powers business at Truveris, a health IT startup disrupting the prescription benefits industry, and discusses Truveris's OneRx National Drug Index, the first index that provides a real-time holistic view of prescription drug prices.
Healthcare, a $3 trillion industry, is ripe for disruption through data science. However, there are many challenges in the journey to make healthcare a truly transparent, consumer-centric, data-driven industry. Sriram Vishwanath shares some myths and facts about data science's impact on healthcare.
Crystal Valentine explains how the large graph-processing frameworks that run on Hadoop can be used to detect significantly mutated protein signaling pathways in cancer genomes through a probabilistic analysis of large protein-protein interaction networks, using techniques similar to those used in social network analysis algorithms.