Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Schedule: FinData sessions

9:05am–9:30am Tuesday, 09/27/2016
Location: 1 E 14
Michael Casey (MIT Media Lab)
Average rating: ***..
(3.60, 5 ratings)
We're headed toward a decentralized economy, where our finances are managed by investment algorithms, big data analytics, IoT-linked devices, and crowdfunding marketplaces. But its potential won't be realized until we overcome a core obstacle: trust. Michael Casey explains why blockchain technology, with its decentralized trust architecture, is the platform that makes everything else possible. Read more.
9:30am–10:00am Tuesday, 09/27/2016
Location: 1 E 14 Level: Non-technical
Jeff McMillan (Morgan Stanley)
Average rating: ****.
(4.60, 5 ratings)
Jeff McMillan explores how he has used intelligent systems and predictive modeling at Morgan Stanley to fundamentally change the client service model from merely “selling” things to one that focuses on finding the things that customers want or need to invest in. Read more.
10:00am–10:30am Tuesday, 09/27/2016
Location: 1 E 14
Anand Sanwal (CB Insights)
Average rating: ****.
(4.33, 6 ratings)
Anand Sanwal explores the trends, technologies, and business models that will disrupt financial services. Read more.
11:00am–11:30am Tuesday, 09/27/2016
Location: 1 E 14 Level: Beginner
Diane Chang (Intuit)
Average rating: ***..
(3.25, 4 ratings)
Almost 700,000 small businesses fail each year—many because they cannot secure critical financing when they need it. Banks would lend more if they could better distinguish the good risks from the bad. Diane Chang explains how a small team used big data to turn a 70% loan rejection rate into a 70% acceptance rate and solve a critical problem for small businesses. Read more.
11:30am–12:00pm Tuesday, 09/27/2016
Location: 1 E 14
Giannina Segnini (Journalism School, Columbia University), Mar Cabra (International Consortium of Investigative Journalists)
Average rating: ****.
(4.25, 4 ratings)
Offshore leaks, Lux leaks, Swiss leaks, Bahamas leaks, and the Panama Papers—all have one thing in common: they were all uncovered by the International Consortium of Investigative Journalists. Giannina Segnini and Mar Cabra explain how this global network of muckrakers uses technology to deal with big data and find cross-border stories that have worldwide impact. Read more.
12:00pm–12:30pm Tuesday, 09/27/2016
Location: 1 E 14
Robert Passarella (Alpha Features)
Average rating: ****.
(4.33, 3 ratings)
With the emergence of the Internet, social media, and the IoT, the nature of analysis for investment decisions has shifted from linear analysis to nonlinear techniques. Robert Passarella offers a survey on how we arrived at this point in finance, where we came from, and where we're going, as we leave the world of model-driven finance and enter into the world of data-driven finance. Read more.
1:30pm–2:00pm Tuesday, 09/27/2016
Location: 1 E 14
Michelle Bonat (Data Simply)
Average rating: **...
(2.50, 4 ratings)
You need to think about financial data differently to solve the most pressing challenges for your organization. But how do you get to data-driven finance and risk using unstructured data? Michelle Bonat explains how unstructured data (words and text) can be used to solve critical challenges in finance and unlock opportunities. Read more.
2:00pm–2:30pm Tuesday, 09/27/2016
Location: 1 E 14
Juan Huerta (Goldman Sachs Consumer Lending Group)
Average rating: ***..
(3.20, 5 ratings)
The release of Hadoop fundamentally changed the ability of financial enterprises to address velocity, variety, and volume in data. Ten years later, Juan Huerta describes the most significant data-oriented technical challenges the industry currently faces and the promising confluence of technologies and modeling paradigms that will drive the evolution of data technologies during the next decade. Read more.
2:30pm–3:00pm Tuesday, 09/27/2016
Location: 1 E 14
Susan Woodward (Sand Hill Econometrics)
Average rating: ****.
(4.25, 4 ratings)
Susan Woodward discusses the venture capital funnel (as seen from the VentureSource database with additional research on failed companies from Sand Hill Econometrics) and analyzes the extent of stale pricing in venture values (and buyout fund values) in reports to investors. Did FAS 157, effective 2008, make any difference? Not much, as Susan explains. Reported values are still quite stale. Read more.
3:30pm–4:00pm Tuesday, 09/27/2016
Location: 1 E 14 Level: Non-technical
Tanvi Singh (Credit Suisse)
Average rating: ****.
(4.50, 4 ratings)
Private banking is a very traditional business and is in the midst of a major crisis regarding compliance, regulatory requirements, and investigations. Tanvi Singh highlights how the compliance function can be strengthened using data science to create a risk-based approach for assessing the health of the various divisions of the bank. Read more.
4:00pm–4:30pm Tuesday, 09/27/2016
Location: 1 E 14
Kelley Yohe (Swift Capital)
Average rating: ****.
(4.00, 3 ratings)
Kelley Yohe explores utilizing analytics to map a customer’s journey and understand the customer experience gaps and potential business drivers lurking behind the scenes of your data, waiting to be tapped for growth. With this knowledge, businesses can target the right features, measure the results toward growth, and ensure a proper foundation for selecting the right data, tools, and platforms. Read more.