9:00am- 5:00pm, Tuesday, March 6, 2018
From banking to biotech, retail to government, nonprofit to energy, every business sector is changing in the face of abundant data. Driven by competitive pressures and rising consumer expectations, firms are getting better at defining business problems and applying data solutions.
The road to a data-driven business is paved with hard-won lessons, painful mistakes, and clever insights. We’re introducing a new Tutorial Day track packed with case studies, where you can hear from practitioners across a wide range of industries. We call this track Data Case Studies. In a series of 12 half-hour talks aimed at a business audience, you’ll hear from household brands and global companies as they explain the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further.
Taylor Martin, is principal learning scientist at O’Reilly Media, where she helps a team of data scientists and engineers mix in just the right amount of data-driven learning engineering to personalize the learning experience across various forms of published media. Taylor’s research focuses on understanding how people learn, and she’s particularly interested in how adaptive and personalized learning can best be used to help people reach their learning goals faster. As an established academic and thought leader in the learning sciences, Taylor has spearheaded data-centric approaches to developing learning environments and measuring how people learn science, math, engineering, and computer science in environments that include online games, online programming environments (e.g., scratch.mit.edu), internship programs, Maker spaces, and engineering design labs.
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