Mar 15–18, 2020

Schedule: Data, Analytics, and AI Strategy sessions

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1:30pm5:00pm Monday, March 16, 2020
Location: LL20C
Robert Horton (Microsoft), Mario Inchiosa (Microsoft), John-Mark Agosta (Microsoft)
This workshop introduces the fundamental concepts of ML to business and healthcare decision makers and software product managers so that they will be able to make more effective use of machine learning results, and be better able to evaluate opportunities to apply ML in their industries. The optional exercises require a web browser and Microsoft Excel. Read more.
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11:50am12:30pm Tuesday, March 17, 2020
Location: LL21 E/F
Shubhankar Jain (SurveyMonkey), Aliaksandr Padvitselski (SurveyMonkey), Manohar Angani (SurveyMonkey)
Every organization is leveraging machine learning (ML) to provide increasing value to their customers and understand their business. You may have created models too. But, how do you scale this process now? In this case study, you will learn how to pinpoint inefficiencies in your ML data flow, how SurveyMonkey tackled this, and how to make your data more usable to accelerate ML model development. Read more.
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1:45pm2:25pm Wednesday, March 18, 2020
Location: LL21A
Secondary topics:  Culture and Organization
Dave Stuart (Department of Defense )
A look into how the US Intelligence Community uses Jupyter and Python to harness subject matter expertise of analysts in a DIY analytic movement. This talk covers the technical and cultural challenges encountered to find success at a large scale, and addresses the strategies used to mitigate the challenges. Read more.
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4:15pm4:55pm Wednesday, March 18, 2020
Location: LL21B
Kelly Zhiling Wan (LinkedIn), Chih Hui Wang (LINKEDIN), Lili Zhou (LINKEDIN), Emily Huang (LinkedIn)
Studies have proven that providing good customer services accelerates customers’ cohesion toward the product, which increases product engagement and revenue spending. Traditionally, we have been using customer surveys to measure how customers feel about our services and products. At LinkedIn, we have developed and deployed an innovative Data Product to measure Customer Happiness. Read more.

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