Schedule: Case studies sessions: Data science + business analytics training: Strata Data Conference

9:00am–5:00pm Tuesday, September 24, 2019

Location: 1A 08

Findata Day

Alistair Croll (Solve For Interesting), Jennifer Yang (Wells Fargo ECS), Brian Lynch (TD Bank Group), Dan Barker (RSA Security), Rochelle March (Trucost), Catherine Gu (Stanford University), Karan Jaswal (Cinchy), Moto Tohda (Tokyo Century (USA)), Viridiana Lourdes (Ayasdi), Peter Swartz (Altana Trade), Mikheil Nadareishvili (TBC Bank)

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.

9:00am–5:00pm Tuesday, September 24, 2019

Location: 1A 06

Data Case Studies

David Boyle (Audience Strategies), Richard Evans (Statistics Canada), Rosaria Silipo (KNIME), Leah Xu (Spotify), Arup Nanda (Capital One), Victoriya Kalmanovich (Navy), Tusharadri Mukherjee (Lenovo), David Boyle (Audience Strategies), Richard Evans (Statistics Canada), Leah Xu (Spotify), Victoriya Kalmanovich (Navy), Moise Convolbo (Rakuten), Martin Mendez-Costabel (Bayer Crop Science), gloria macia (F. Hoffmann-La Roche AG), Gwen Campbell (Revibe Technologies), Moise Convolbo (Rakuten), Muhammed Idris (Capria VC | TeraCrunch)

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.

1:15pm–1:55pm Wednesday, September 25, 2019

Location: 1E 12/13

Turning petabytes of data from millions of vehicles into open data with Geotab

Secondary topics: BI, Interactive Analytics and Visualization, Cloud Platforms and SaaS, Streaming and IoT

Felipe Hoffa (Google), Bob Bradley (Geotab)

Geotab is a world-leading asset-tracking company with millions of vehicles under service every day. Felipe Hoffa and Bob Bradley examine the challenges and solutions to create an ML- and geographic information system- (GI)S enabled petabyte-scale data warehouse leveraging Google Cloud. And they dive into the process to publish open, how you can access it, and how cities are using it. Read more.

2:55pm–3:35pm Wednesday, September 25, 2019

Location: 1E 12/13

Enabling 5G use cases through location intelligence

Secondary topics: Streaming and IoT, Telecom, Transportation and Logistics

Tim McKenzie (Pitney Bowes)

Tim McKenzie examines why planning 5G network rollout and associated services requires a good understanding of location-based data. Accurate addressing and linking consumers to property or points of interest allows data enrichment with attributes, demographics and social data. Companies use location to organize and analyze network and customer data to understand where to target new services. Read more.

4:35pm–5:15pm Wednesday, September 25, 2019

Location: 1E 12/13

What does the public say? A computational analysis of regulatory comments

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. Vlad Eidelman outlines how natural language processing (NLP) and machine learning can be used to automate the process by analyzing over 10 million publicly released comments. Read more.

5:25pm–6:05pm Wednesday, September 25, 2019

Location: 1E 12/13

How Brazil deployed a 160 million-person biometric identification system: Challenges, benefits, and lessons learned

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.

5:25pm–6:05pm Wednesday, September 25, 2019

Location: 1E 14

Looking beyond the binary: How data for development impacts gender justice?

Secondary topics: Data quality, data governance and data lineage, Ethics, Health and Medicine

Brindaalakshmi K (Independent Consultant)

There's a lack of standard for the collection of gender data. Brindaalakshmi K 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.

2:05pm–2:45pm Thursday, September 26, 2019

Location: 1E 12/13

T-Mobile's journey to turn crowdsourced big data into actionable insights

Secondary topics: BI, Interactive Analytics and Visualization, Telecom

Alex Yoon (T-Mobile)

T-Mobile successfully improved the quality of voice calling by analyzing crowdsourced big data from mobile devices. Alex Yoon walks you through 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.

3:45pm–4:25pm Thursday, September 26, 2019

Location: 1E 12/13

Migrating millions of users from voice- and email-based customer support to a chatbot

Secondary topics: Text and Language processing and analysis, Transportation and Logistics

Madhu Gopinathan (MakeMyTrip), Sanjay Mohan (MakeMyTrip)

At MakeMyTrip customers were using voice or email to contact agents for postsale 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. Madhu Gopinathan and Sanjay Mohan explain the high-level architecture and the business impact Myra created. Read more.