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Analytics>Forward 2019 was March 9, 2019

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

  • Stacking Audience Models (Alice Broadhead)

  • Federated Learning (Ian Cook)

  • From Anecdote to Analysis (Ian Henshaw) slides 1 slides 2 youtube

Session 2: 10:35am - 11:25am

  • Geohashing - What/Why/How (Mark Hutchinson)

  • Introduction to Autoencoders and IoT Analytics (Scott Gerard) slides

  • Blockchain: Clearing the Fog (Marc Huddle)

  • Marketing, Collaboration, Data Obsession (Rick Pack) slides

  • Observable JavaScript Notebook Demo (Xan Gregg)

Session 3: 11:40am - 12:30pm

  • Statistical Inference with Buzz and Doris (Gerald Belton)

  • Intro to Quantum Algorithms (Kevin Lubitz)

  • Classification with Naive Bayes (Kevin Feasel)

  • Location Analytics (Nathan Webster and Stephen Mistler)

  • Stringr and Regex in R (Aaron Stearns)

Keynote: 1:30pm - 2:30pm

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

  • Domain Expertise in Data Analysis (Greg Frazier)

  • AI Unwanted Bias (Melinda Thielbar)

  • Will They Stay or Will They Go? (Zeydy Ortiz)

  • Intro to Keras, A Simple Deep Learning Framework (Dhruv Sakalley)

  • Use USACE Flood Data and Property Parcel Data to Examine Hurricane Florence (Jim McManus)

Session 5: 3:50pm - 4:40pm

  • Practical Guide to Comparing Apples and Oranges (Julia Kuznetsova)

  • Drone Usage for Emergency Response, Data Collection and Privatized Deliveries (Alberto Quiroga)

  • Deep Learning, Transfer Learning and Neural Network Synthesis (Steve Geringer)

Analytics Forward 2019 was sponsored by:

Platinum Sponsors:

Gold Sponsors​:

Supporting Sponsor:

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