Sep 23–26, 2019

Schedule: Case studies sessions

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9:00am5:00pm Tuesday, September 24, 2019
Location: 1A 08
Alistair Croll (Solve For Interesting), Jennifer Yang (Wells Fargo ECS), Nitzan Mekel-Bobrov (Capital One), Dan Barker (RSA Security), Rochelle March (Trucost), Catherine Gu (Stanford University), elva fernandez (American Express), Moto Tohda (Tokyo Century (USA) Inc.), Mikheil Nadareishvili (TBC Bank), Jennifer Kloke (Ayasdi)
From analyzing risk and detecting fraud to predicting payments and improving customer experience, take a deep dive into the ways data technologies are transforming the financial industry. Read more.
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9:00am5:00pm Tuesday, September 24, 2019
Location: 1A 06
Richard Evans (Statistics Canada), Rosaria Silipo (KNIME), Leah Xu (Spotify), Arup Nanda (Priceline), Victoriya Kalmanovich (Navy), Shreya Sharma (Expedia Inc.), Martin Mendez-Costabel (Bayer Crop Science), Gloria Macia (Roche AG), Gwen Campbell (Revibe Technologies, Inc)
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. Read more.
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1:15pm1:55pm Wednesday, September 25, 2019
Location: 1E 12/13
Secondary topics:  BI, Interactive Analytics and Visualization, Cloud Platforms and SaaS, Streaming and IoT
Felipe Hoffa (Google), Bob Bradley (Geotab)
Geotab is a world's leading asset tracking company, with millions of vehicles under service every day. In the first part of this talk we are going to review their challenges and solutions to create an ML and GIS enabled petabyte scale data warehouse leveraging Google Cloud. Then we are going to review their process to publish open, how to access it, and how cities are using it. Read more.
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2:55pm3:35pm Wednesday, September 25, 2019
Location: 1E 12/13
Secondary topics:  Streaming and IoT, Telecom, Transportation and Logistics
Tim McKenzie (Pitney Bowes)
Planning 5G network rollout and associated services requires a good understanding of location based data. Accurate addressing and linking consumers to property parcels or points of interest allows data enrichment with property attributes, demographics and social data. Companies use location to organize and analyze network and customer data in order to understand where to target new services. Read more.
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4:35pm5:15pm Wednesday, September 25, 2019
Location: 1E 12/13
Secondary topics:  Text and Language processing and analysis
Vlad Eidelman (FiscalNote)
While regulations affect your life every day, and millions of public comments are submitted to regulatory agencies in response to their proposals, analyzing the comments has traditionally been reserved for legal experts. In this talk, we show how natural language processing and machine learning can be used to automate the process by analyzing over 10 million publicly released comments. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 12/13
Secondary topics:  Data, Analytics, and AI Architecture, Health and Medicine
Thiago Ribeiro (Griaule)
Brazil deployed a national biometric system to register all Brazilian voters using multiple biometric modalities and to ensure that a person does not enroll twice. This session highlights how a large-scale biometric system works, and what are the main architecture decisions that one has to take in consideration. Read more.
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5:25pm6:05pm Wednesday, September 25, 2019
Location: 1E 14
Secondary topics:  Data quality, data governance and data lineage, Ethics, Health and Medicine
Brindaalakshmi K (Independent Consultant)
There is a lack of standard for the collection of gender data. This session takes a look at the implications of such a lack in the context of a developing country like India, the exclusion of individuals beyond the binary genders of male and female and how this exclusion permeates beyond the public sector into private sector services. Read more.
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2:05pm2:45pm Thursday, September 26, 2019
Location: 1E 12/13
Secondary topics:  BI, Interactive Analytics and Visualization, Telecom
Alex Yoon (T-Mobile)
T-Mobile successfully improved the quality of voice calling by analyzing crowd sourced big data from mobile devices. In this session, you will learn how engineers from multiple backgrounds collaborated to achieve 10% improvement in voice quality and why the analysis of big data was the key to the success in bringing a better voice call service quality to millions of end users. Read more.
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3:45pm4:25pm Thursday, September 26, 2019
Location: 1E 12/13
Secondary topics:  Text and Language processing and analysis, Transportation and Logistics
Madhu Gopinathan (MakeMyTrip), Sanjay Mohan (MakeMyTrip)
At MakeMyTrip, India’s leading online travel platform, customers were using voice or email to contact agents for post sale support. In order to improve the efficiency of agents and improve customer experience, MakeMyTrip developed a chatbot Myra using some of the latest advances in deep learning. In this talk, we will discuss the high level architecture and the business impact created by Myra. Read more.

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