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Analytics>Forward 2016 was March 12, 2016

Session 1: 9:30am - 10:20am

  • Weather Alerts with R (Ian Cook)

  • Uses of national medical care data (Stephen Villavicencio)

  • But what is data science? A panel discussion. (Mark Hutchinson)

  • Numpy Basics (Chris Calloway)

Session 2: 10:30am - 11:20am

  • Reproducible Research Workflow (Brian Fannin)

  • The math isn’t that hard (Melinda Thielbar)

  • Actuarial Science with Julia (Rock Pereira)

  • Your data is cursed: Dimensionality Reduction (Lucia Gjeltema)

Session 3: 11:30am - 12:20pm

  • Chasing cats on subways (James Whisnant)

  • JMP Graph Builder Tutorial (Xan Gregg)

  • Agile/RAD Data Development (Mark Hutchinson)

  • NC Data 4 Good: What was done, impact, and what do we want to do going forward (Zeydy Ortiz)

Keynote: 1:30pm-2:30pm

  • Exploiting the Fit: Using Statistical Models for Profiling, Optimization, and Robust Process Engineering (John Sall)

Session 4: 2:40pm - 3:30pm

  • Scalable Machine Learning with Apache SystemML (Phillip Rhodes)

  • ELI5: Trees & Neural Nets (Dan Kelly)

  • New Generation Data Hub: Data-as-a-Service – Transformation, Analysis, Mapping (Ian Henshaw)

  • Artificial Intelligence and Arms Control: The case for banning killer robots (Mark Gubrud)

Session 5: 4:00pm - 4:40pm

  • What? So What? Now What? Using Metrics to influence co-workers, executives, stakeholders (Larry Maccherone)

  • The math isn’t that hard (Melinda Thielbar)

  • Sports Analytics: Tech, Data, Analysis (Walt DeGrange)

  • Your data is cursed: Dimensionality Reduction (Lucia Gjeltema)

Analytics Forward 2016 was sponsored by:

Gold Sponsors: