Mar 15–18, 2020

Schedule: BI, Interactive Analytics and Visualization sessions

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9:00am5:00pm Monday, March 16, 2020
Location: LL20A
Jeffrey Vah (Dell Technologies), Gayathri Rau (Dell Technologies), Shuo Xiang (Robinhood), Grace Lu (Robinhood), Maureen Teyssier (Reonomy), Aaron Williams (OmniSci), Sriram Ravindran (Adobe Inc), Deepak Pai (Adobe), Shubranshu Shekhar (Carnegie Mellon University), Sherin Thomas (Lyft), Dan Gifford (Getty Images), Shondria Lopez-Merlos (Lakeland Regional Health), Sandhya Raghavan (Virgin Hyperloop One), Patryk Oleniuk (Virgin Hyperloop One), Ian Beaver (Verint), Aryn Sargent (Verint), Ryan Hum (National Energy Board, Canada)
From banking to biotech, retail to government, every business sector is changing in the face of abundant data. Get better at defining business problems and applying data solutions at Strata Data & AI. Read more.
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9:00am5:00pm Monday, March 16, 2020
Location: LL20B
Alistair Croll (Solve For Interesting), Erich S. Huang, MD, PhD (Duke Forge), Michael Dulin (University of North Carolina at Charlotte | Gray Matter Analytics), Sheila Talton (Gray Matter Analytics), Kasie Richards (American Red Cross), Cathy Tanimura (Strava), Yue Cathy Chang (TutumGene), Prashant Warier (Qure.ai), Jozo Dujmovic (San Francisco State University), Shilpa Arora (Atlan), Lutz Finger (Google)
Dive into health, technology, and data in a day-long series of curated talks. Health Data Day at Strata Data and AI takes a closer look at how algorithms, sensors, and big data are changing healthcare forever. Read more.
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11:50am12:30pm Tuesday, March 17, 2020
Location: LL21A
Shankar Venkitachalam (Adobe), Megahanath Macha Yadagiri (Carnegie Mellon University), Deepak Pai (Adobe)
Identifying customer stages in a buying cycle enables you to perform personalized targeting based on the stage. Shankar Venkitachalam, Megahanath Macha Yadagiri, and Deepak Pai identify ML techniques to analyze a customer's clickstream behavior to find the different stages of the buying cycle and quantify the critical click events that help transition a user from one stage to another. Read more.
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2:35pm3:15pm Tuesday, March 17, 2020
Location: LL21 D
Barr Moses (Monte Carlo)
Ever had your CEO or customer look at your report and tell you the numbers look way off? Barr Moses defines data downtime—periods of time when your data is partial, erroneous, missing, or otherwise inaccurate. Data downtime is highly costly for organizations, yet is often addressed ad hoc. You'll explore why data downtime matters to the data industry and how best-in-class teams address it. Read more.
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11:50am12:30pm Wednesday, March 18, 2020
Location: LL20A
Tomer Shiran (Dremio), Jacques Nadeau (Dremio)
Data lakes are hot again; with S3 from AWS as the data lake storage, the modern data lake architecture separates compute from storage. You can choose from a variety of elastic, scalable, and cost-efficient technologies when designing a cloud data lake. Tomer Shiran and Jacques Nadeau share best practices for building a data lake on AWS, as well as various services and open source building blocks. Read more.
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11:50am12:30pm Wednesday, March 18, 2020
Location: LL21A
Claudiu Barbura (Blueprint)
Claudiu Barbura exposes a tech stack for BI tools and data science notebooks, using live demos to explain the lessons learned using Spark (CPU), BlazingSQL and Rapids.ai (GPU), and Apache Arrow in the quest to exponentially increase the performance of the data virtualizer, which enables real-time access to data sources across different cloud providers and on-premises databases and APIs. Read more.
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2:35pm3:15pm Wednesday, March 18, 2020
Location: LL21B
ravi krishnaswamy (Autodesk)
Today’s applications interact with data in a distributed and decentralized world. Using graphs at scale, you can infer communities and your interaction by tracking access to common data across users and applications. Ravi Krishnaswamy displays a real-world product example with millions of users that uses the combined powers of Spark and graph databases to gain insights into customer workflows. Read more.
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2:35pm3:15pm Wednesday, March 18, 2020
Location: LL21A
Kshitij Wadhwa (Rockset), Dhruba Borthakur (Rockset)
Rockset is a serverless search and analytics engine that enables real-time search and analytics on raw data from Amazon DynamoDB—with full featured SQL. Kshitij Wadhwa and Dhruba Borthakur explore how Rockset takes an entirely new approach to loading, analyzing, and serving data so you can run powerful SQL analytics on data from DynamoDB without ETL. Read more.

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