Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Findata Day

Tuesday, September 11, 2018
New York, NY

Alistair Croll, Strata Conference Chair and Findata Day Host

Findata Day

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, 09/11/2018

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9:00am
Location: 1A 08
Secondary topics:  Financial Services
Alistair Croll (Solve For Interesting)
Program Chair, Alistair Croll, welcomes you to Findata Day. Read more.
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9:30am
Location: 1A 08 Level: Beginner
Secondary topics:  Health and Medicine
Amro Alkhatib (National Health Insurance Company - Daman)
Processing claims is central to every insurance business. We present a successful business case for automating claims processing from idea to production. The machine learning based claim automation model uses NLP methods on non-text data and allows auditable automated claims decisions to be made. Read more.
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10:00am
Location: 1A 08 Level: Intermediate
Secondary topics:  Ethics and Privacy, Financial Services
Mridul Mishra (Fidelity Investments)
Currently, most of the ML (specifically deep learning) models work like a black box and a key challenge in their adoption is the need for explainability. In this talk, we will explore the reason for the need of explainability, current state and provide a framework to think for these needs and the potential solution options. Read more.
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11:00am
Location: 1A 08 Level: Non-technical
Secondary topics:  Financial Services
Patrick Angeles (Cloudera)
The financial crisis of 2008 exposed systemic issues in the financial system that resulted in the failures of several established institutions and a bailout of the entire industry. In the aftermath, banks and regulators are turning to big data solutions in order to avoid a repeat of history. Read more.
12:00pm TBC
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1:30pm
Location: 1A 08 Level: Beginner
Andreas Kohlmaier (MunichRe)
MunichRe is increasing client esilience against economic, political and cyber risks while setting and shaping trends in the insurance market. Recently MunichRe successfully launched a data catalog as the driver for analyst adoption of a data lake. Cataloging new data encouraged users to effectively and collaboratively explore new ideas, develop new business and enhance customer service. Read more.
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2:00pm
Location: 1A 08 Level: Non-technical
Secondary topics:  Financial Services
Paul Lashmet (Arcadia Data)
Artificial intelligence and deep learning are used to generate and execute trading strategies today. Meanwhile, regulators and investors demand transparency into investment decisions. The challenge is that the decision-making processes of machine learning technologies are opaque. The opportunity is that these same machines generate data that can be visualized to spot new trading opportunities. Read more.
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2:30pm
Location: 1A 08 Level: Beginner
Secondary topics:  Data preparation, governance and privacy, Ethics and Privacy
Laura Eisenhardt (iKnow Solutions)
Data brings unprecedented insights to industries about customer behavior & personal data is being harvested. We know more about our customers and neighbors then at any other time in history but need to avoid "crossing the creepy line". Governance and Security experts from Cloudera, Mastercard and iKnow solutions discuss how ethical behavior drives trust especially in today's IoT age Read more.
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3:30pm
Location: 1A 08 Level: Intermediate
Secondary topics:  Financial Services, Recommendation Systems
Robin Way (Corios)
This session will present case study examples of next best offer strategies, predictive customer journey analytics, and behavior-driven time-to-event targeting for mathematically-optimal customer messaging that drives incremental margins. Read more.
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4:00pm
Location: 1A 08 Level: Beginner
Secondary topics:  Temporal data and time-series analytics
Theresa Johnson (Airbnb)
How Airbnb builds its next generation end to end Revenu Forecasting Platform leveraging Machine Learning, Bayesian Inference, Tensorflow, Hadoop, and Web technology. Read more.
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4:30pm
Location: 1A 08
Secondary topics:  Financial Services
Jane Tran (Unqork)
Data’s role in financial services has been elevated. However, often times the rollout of data solutions fail when an organization’s existing culture is misaligned with its capabilities. With Unqork, we’re increasing adoption by honoring existing capabilities. This discussion will explore methods to finally implement data solutions through both qualitative and quantitative discoveries. Read more.