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Discover how the industrial revolution in data will affect your business. Learn about the new opportunities and challenges that big data and analytics provide, hear from successful data-driven businesses, and plan for the impact on your organization's infrastructure and personnel.
by Hilary Mason
Data science is evolving rapidly. I'll talk about our current and slightly future technical and philosophical challenges, including realtime vs non-realtime analysis, streams of data vs traditional databases, and some of the opportunities we have to learn amazing things about the world through our data and what this means for those of us who are immersed in working with it.
The new data centricity drives that we have to rethink how we collect, store, manage, analyze and share our data, as all these processes now require limitless resources. This talk will focus on the changes in infrastructure requirements to support the new world and how innovations are removing barriers for companies to be successful.
by Alasdair Allan, Rob Lancaster, Jonathan Seidman and Samy Bengio
Can machines help us make better decisions? In this panel, real-world practitioners from the travel, finance, and energy industry give us an inside look at how they’re applying machine learning to their industries, optimizing the use of resources and helping with decision support.
by Scott Yara
A defining characteristic of modern life is the incredible proliferation of digital information. The Economist estimates that the amount of information created each year is growing at a 60% compounded rate. According to the Harvard Business Review, we humans generated more data last year than in all of previous human history.
by Julie Steele, Ian White, Peter Marney, Moe Khosravy and Dennis Yang
Does information really want to be free? While the Internet is full of open data, there's plenty of data companies are willing to pay handsomely for -- particularly if it's timely and well aggregated. As a result, data marketplaces are a burgeoning business. This panel will look at the market for data, and where it's headed.