Analytics>Forward 2019 was March 9, 2019
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Session 1: 9:30am - 10:20am
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Stacking Audience Models (Alice Broadhead)
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Federated Learning (Ian Cook)
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From Anecdote to Analysis (Ian Henshaw) slides 1 slides 2 youtube
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Session 2: 10:35am - 11:25am
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Geohashing - What/Why/How (Mark Hutchinson)
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Introduction to Autoencoders and IoT Analytics (Scott Gerard) slides
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Blockchain: Clearing the Fog (Marc Huddle)
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Marketing, Collaboration, Data Obsession (Rick Pack) slides
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Observable JavaScript Notebook Demo (Xan Gregg)
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Session 3: 11:40am - 12:30pm
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Statistical Inference with Buzz and Doris (Gerald Belton)
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Intro to Quantum Algorithms (Kevin Lubitz)
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Classification with Naive Bayes (Kevin Feasel)
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Location Analytics (Nathan Webster and Stephen Mistler)
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Stringr and Regex in R (Aaron Stearns)
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Keynote: 1:30pm - 2:30pm
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Kaggle in the Real World (Jordan Meyer - @JordanCMeyer) slides youtube
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Session 4: 2:40pm - 3:30pm
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Domain Expertise in Data Analysis (Greg Frazier)
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AI Unwanted Bias (Melinda Thielbar)
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Will They Stay or Will They Go? (Zeydy Ortiz)
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Intro to Keras, A Simple Deep Learning Framework (Dhruv Sakalley)
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Use USACE Flood Data and Property Parcel Data to Examine Hurricane Florence (Jim McManus)
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Session 5: 3:50pm - 4:40pm
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Practical Guide to Comparing Apples and Oranges (Julia Kuznetsova)
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Drone Usage for Emergency Response, Data Collection and Privatized Deliveries (Alberto Quiroga)
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Deep Learning, Transfer Learning and Neural Network Synthesis (Steve Geringer)
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Analytics Forward 2019 was sponsored by:
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Blue Cross and Blue Shield of North Carolina, who graciously donated the event space.
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Platinum Sponsors:​
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Gold Sponsors​:
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Supporting Sponsor: