Sep 23–26, 2019

Findata Day

Tuesday, September 24, 2019 | Location: 1A 08

Finance is information. From analyzing risk and detecting fraud to predicting payments and improving customer experience, data technologies are transforming the financial industry. And we're diving deep into this change with a new day of data-meets-finance talks, tailored for Strata Data Conference events in the world's financial hubs. Bringing together bankers, analysts, entrepreneurs, financiers, and technologists, it's a can't-miss day for anyone working in the financial sector.

Tuesday, 09/24/2019

9:00am

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9:00am–9:05am Tuesday, 09/24/2019
Tutorial
Secondary topics:  Financial Services
Alistair Croll (Solve For Interesting)
Alistair Croll, Findata Host and Strata Data Conference Program Chair, welcomes you to the day-long tutorial. Read more.

9:05am

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9:05am–9:30am Tuesday, 09/24/2019
Findata
Case studies
Secondary topics:  Data quality, data governance and data lineage, Financial Services
Jennifer Yang (Wells Fargo ECS)
Traditional rule based data quality management methodology is costly and hard to scale in the big data environment. It requires subject matter experts within business, data and technology domains. Machine learning technique based data quality management methodology enables a cost-effective and scalable way to manage data quality for a large amount of data. Read more.

9:30am

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9:30am–10:00am Tuesday, 09/24/2019
Findata
Secondary topics:  Financial Services, Streaming and IoT
Nitzan Mekel-Bobrov (Capital One)
Capital One's Card Machine Learning lead will provide a framework for how enterprises can use real-time machine learning to provide long-term, recurring relationships with customers, with a focus on leveraging longitudinal omni-channel context, enhanced capabilities able to infer state from this new scale of data, and real-time personalization based on streaming data ecosystems. Read more.

10:00am

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10:00am–10:30am Tuesday, 09/24/2019
Findata
Secondary topics:  BI, Interactive Analytics and Visualization, Financial Services
Jennifer Kloke (Ayasdi)
Jennifer Kloke will discuss how banks and financial enterprises can adopt and integrate actual risk models with existing systems to enhance the performance and operational efficiency of the financial crimes organization. In doing so, she will explain how actual risk models can reduce segmentation noise, utilize unlabeled transactional data, and spot unusual behavior more effectively. Read more.

11:00am

11:00am–11:30am Tuesday, 09/24/2019 TBC

11:30am

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11:30am–12:00pm Tuesday, 09/24/2019
Dan Barker (RSA Security)
Sometimes if you build it, no one comes. What do you do if your data and tools aren't being leveraged as expected. It's a massive shift in thinking, but the payoff can be even bigger. Let me show you how we took the National Association of Insurance Commissioners, a 150-year-old non-profit, into the data age, and how you can do it too. Read more.

12:00pm

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12:00pm–12:30pm Tuesday, 09/24/2019
Rochelle March (Trucost)
S&P’s Trucost Senior Analyst, Rochelle March, is migrating a product that quantitatively measures company performance on UN Sustainable Development Goals from Excel to Python. Her team cut multi-day workflows to a few hours, delivering rich, 27-page interactive reports. Learn about modern techniques to design, build, and deploy a data visualization and reporting framework in your organization. Read more.

1:30pm

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1:30pm–2:00pm Tuesday, 09/24/2019
Catherine Gu (Stanford University)
With the emergence of cryptoeconomy, there is a real demand for an alternative form of money. Major cryptocurrencies such as Bitcoin and Ethereum have thus far failed into mass adoption. In this talk, I will examine the paradigm of algorithmic design of stablecoins, focusing on incentive structure and decentralized governance, to evaluate the role of stablecoin as a future medium of exchange. Read more.

3:30pm

3:30pm–4:00pm Tuesday, 09/24/2019 Secondary topics:  Privacy and Security
TBC

4:00pm

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4:00pm–4:30pm Tuesday, 09/24/2019
Findata
Case studies
Secondary topics:  Financial Services
Moto Tohda (Tokyo Century (USA) Inc.)
Tokyo Century was ready for a change. Credit risk decisions were taking too long and the home office was taking notice. A full-stack data solution was needed to increase the speed of loan authorizations, and it was needed quickly. In this session you will learn how we put data at the center of our credit risk decision making and removed tribal knowledge from the process. Read more.

4:30pm

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4:30pm–5:00pm Tuesday, 09/24/2019 Secondary topics:  Financial Services
TBC Bank recently shifted to a new way of doing analytics: embedding data scientists directly in business which they are working for, along with staff dedicated to connecting them to data and business. Moreover, we made sure all projects had clear measures of success. This shift unlocked value of analytics for us: in one project, we were able to improve profit of a major loan product four-fold. Read more.

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