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.
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.
1st–3rd February 2011