Creating value from data requires a new mind-set. It’s hard to escape silos, whether they are technical or conceptual. To exploit fully the opportunity of Big Data tools and architectures, we need a new way of think- ing that frames data as a raw material of business. The answer is to focus not on the functional components— what you do to data—but on business outcomes and how they can be achieved—what you do with data. This new approach can be cultivated through looking at the data value chain.

The bad reputation of enterprise search will change as more powerful technology allows the extension of search to many enterprise data sources. Once enterprises have done the ground work of indexing all or most of their data, they can do things they had never thought of before, such as easily and rapidly developing Search Based Applications (SBAs) to meet user needs. This talk will present several of the SBAs that populate the AstraZeneca "AppStore" on top of the Sinequa platform.

Opening the second day of Data Summit 2015, our illustrious panel addresses the main issues facing data scientists, Big Data analysts, business strategists, and technology aficionados. Is Hadoop to be dumped? Will we drown in data lakes? Are we virtualizing to the max? What’s on the data horizon? Big Data gets lots of attention these days. From a business and a technology perspective, how can we get the most benefit out of Big Data?

The culmination of Data Summit involves both a look back at what we’ve learned and a look forward toward best use cases for data-driven environments. Big Data holds much promise for innovative forward thinking, while at the same time disrupting some time-honored business practices and beliefs. Big Data changes how we interact with information and encourages a reimagining of how we think about our data and what we can do with it.