Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Data-driven Business conference sessions

Charting the rise of adaptive, data-driven organizations that make better decisions, faster, in order to rewrite the rules of their industries.

Tuesday, September 29

9:00am–5:00pm Tuesday, 09/29/2015
Location: 1 E14 / 1 E15
Alistair Croll (Solve For Interesting), Farrah Bostic (The Difference Engine), Mark Madsen (Third Nature), krish venkataraman (Syncsort), Amy OConnor (Cloudera), Bill Franks (Teradata Corporation), Jake Kendall (Bill & Melinda Gates Foundation), Tricia Wang (Constellate Data ), Cécile Barbaroux (Schibsted Classified Media), Kristi Marotta (Allstate), Adam Devine (WorkFusion), Rahel Jhirad (Hearst), Alexander White (Next Big Sound), Jana Eggers (Nara Logics), Vincent Dell'Anno (Accenture), Fredrik Backner (Telia Company ), Bill Moschella (Evariant), Florin Trandafir (Nokia)
Average rating: ****.
(4.20, 5 ratings)
All-day: For business strategists, marketers, product managers, and entrepreneurs, Data-Driven Business looks at how to use data to make better business decisions faster. Packed with case studies, panels, and eye-opening presentations, this fast-paced day focuses on how to solve today's thorniest business problems with big data. It's the missing MBA for a data-driven, always-on business world. Read more.
9:00am–5:00pm Tuesday, 09/29/2015
Location: 1 E18
Roger Magoulas (O'Reilly Media), Roger Chen (.), Ari Gesher (Palantir Technologies), Hilary Mason (Fast Forward Labs), Eva Ho (Susa Ventures), Matthew Tamayo-Rios (Kryptnostic), Ann Johnson (Interana), Gary Marcus (Geometric Intelligence), Shivon Zilis (Bloomberg Beta), Jacomo Corbo (QuantumBlack), Peter Brodsky (HyperScience), Cack Wilhelm (Scale Venture Partners), Alex Rice (HackerOne), Chris Wake (Spire Global, Inc.), Harper Reed (Modest), Dennis Mortensen (x.ai), Rajiv Maheswaran (Second Spectrum), Jessica Stauth (Quantopian)
Average rating: ***..
(3.93, 14 ratings)
This is a day to learn about the data innovations that have the potential to blindside even the most careful organizations. Aimed at decision makers, the Innovation + Growth program focuses on how data-oriented startups, academics, and venture capitalists approach innovation and the potential to disrupt incumbent business models. Read more.
1:30pm–5:00pm Tuesday, 09/29/2015
Location: 3D 05/08 Level: Intermediate
Scott Kurth (Silicon Valley Data Science), Edd Wilder-James (Google)
Average rating: ***..
(3.53, 17 ratings)
Big data and data science have great potential for accelerating business, but how do you reconcile the opportunity with the sea of possible technologies? Conventional data strategy has little to guide us, focusing more on governance than on creating new value. In this tutorial, we explain how to create a modern data strategy that powers data-driven business. Read more.
2:05pm–2:20pm Tuesday, 09/29/2015
Location: 1 E14/1 E15
Rahel Jhirad (Hearst)
Average rating: **...
(2.62, 8 ratings)
Rahel Jhirad, Director, Data Science Hearst Read more.

Wednesday, September 30

11:20am–12:00pm Wednesday, 09/30/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Billy Newport (Goldman Sachs)
Average rating: ***..
(3.85, 34 ratings)
The combination of data, technology, and analytics creates previously impossible business intelligence opportunities. How well companies can capture and manage their data so that it can be easily and consistently queried will be a key differentiator in deriving commercial value from data. Learn how Goldman is developing an enterprise platform to unify and manage data across the firm. Read more.
1:15pm–1:55pm Wednesday, 09/30/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Tags: media
Claudia Perlich (Dstillery)
Average rating: ****.
(4.15, 20 ratings)
This talk takes a provocative stand: many metrics we cherish lose their value because the granularity of modern data collection enables us to identify and optimize toward hidden signals that used to be noise, and now come to the forefront. One such metric is the click-through rate in advertising, but the mechanism is ubiquitous and we should pay close attention to the mechanism at work. Read more.
2:05pm–2:45pm Wednesday, 09/30/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Joe Caserta (Caserta Concepts), Elliott Cordo (Caserta Concepts, LLC)
Average rating: ****.
(4.00, 7 ratings)
A global record company and a force in the music business partnered with award-winning data innovation consulting firm Caserta Concepts to re-architect its core data platform, with a data framework based on AWS, EMR, Redshift, and other big data technologies. This session presents the architecture, technologies, and techniques used to achieve an agile data ingestion and analytics platform. Read more.
2:55pm–3:35pm Wednesday, 09/30/2015
Location: 1 E10 / 1 E11
Michael Dauber (Amplify Partners), Shivon Zilis (Bloomberg Beta), Matthew Ocko (Data Collective), Roger Chen (.), Jerry Chen (Greylock)
Average rating: ***..
(3.78, 9 ratings)
To anticipate who will succeed and invest wisely, investors spend a lot of time trying to understand the longer-term trends within an industry. In this panel discussion, we’ll consider the big trends in big data, asking top-tier VCs to look over the horizon and discuss the visions they have two or more years in the future. Read more.
4:35pm–5:15pm Wednesday, 09/30/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Tags: media
Adam Kelleher (Buzzfeed)
Average rating: ***..
(3.20, 10 ratings)
At BuzzFeed, a technology and media company, the question of “virality of content via sharing” dominates. Now, for the first time since the company was founded in 2006, data scientists can identify ways pieces of content spread across multiple social networks. In this paper, we present a close look into the way BuzzFeed defines and analyzes the virality of content. Read more.
4:35pm–5:15pm Wednesday, 09/30/2015
Location: Hall B
David Boyle (MasterClass)
Average rating: ***..
(3.00, 4 ratings)
Drawing lessons from successes and failures in the music industry, book publishing and TV, David Boyle will share five lessons that are essential if you’re to use data to make a difference in creative businesses. Read more.
5:25pm–6:05pm Wednesday, 09/30/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Moderated by:
Michael Abbott (Kleiner Perkins Caufield & Byers)
Panelists:
Jooseong Kim (Pinterest), Sven Junkergård (Zephyr Health), Calvin French-Owen (Segment), Peter Reinhardt (Segment), Andrew First (Lean Plum), Shiva Shivakumar (Urban Engines)
Average rating: ***..
(3.88, 8 ratings)
Most people are familiar with the basic principles driving today’s hottest big data and enterprise companies. But what’s really going on underneath the hood? In this session, Kleiner Perkins Caufield & Byers General Partner Michael Abbott unboxes a variety of startups in the space to examine the technology, architecture, and innovations they’ve harnessed to deliver superior products and services. Read more.

Thursday, October 1

11:20am–12:00pm Thursday, 10/01/2015
Location: 1 E10 / 1 E11 Level: Non-technical
Jeremy King (Walmart Global eCommerce)
Average rating: ****.
(4.33, 15 ratings)
Two years ago Walmart eCommerce moved from a small Hadoop cluster to a big one (250 modes) and has since used Hadoop to consolidate 10 different websites, including Sam’s Club online, into one website. Walmart eCommerce stores use all the incoming data in one central Hadoop cluster, which is driving the company’s focus to provide personalized, best-in-class customer experiences. Read more.
1:15pm–1:55pm Thursday, 10/01/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Tags: health
Joe Klobusicky (Geisinger Health System), Ali Habib (Northwestern Feinberg School of Medicine), Ekaterina Volkova (Cornell University)
Average rating: **...
(2.80, 5 ratings)
Pharmaceutical companies follow a highly structured process for the approval of medications. From a financial viewpoint, the binary occasion of a drug’s passage offers a rare scientific opportunity: a well-defined, recurrent, and critical event spanning over multiple companies. We will show that integrating multiple datatypes uncovers how drug passage influences the market, and vice versa. Read more.
2:05pm–2:45pm Thursday, 10/01/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Vivek Farias (Celect)
Average rating: ***..
(3.33, 9 ratings)
How can a retailer discover that expensive handbags have a large upside in Lancaster, PA, a fact that doesn't fit demographic stereotypes? The answer lies in understanding customer choice, that what a customer buys is constrained and influenced by what they're offered. Explore a new approach to machine learning, which models customer choice patterns and preferences from sparse transactional data. Read more.
2:55pm–3:35pm Thursday, 10/01/2015
Location: 1 E10 / 1 E11 Level: Intermediate
Karen Rubin (Quantopian)
Average rating: ****.
(4.20, 5 ratings)
Karen Rubin has spent the last nine months exploring “What would happen if you invested in women CEOs?" In doing so, she has developed an investment algorithm that invests in the women-led companies of the Fortune 1000. Based on a simulation run from 2002-2014, this algorithm would have outperformed the S&P 500 by more than 200%. In this talk she will share her algorithm and results. Read more.
4:35pm–5:15pm Thursday, 10/01/2015
Location: 1 E10 / 1 E11 Level: Non-technical
Micha Gorelick (Fast Forward Labs)
Average rating: **...
(2.71, 7 ratings)
It's 2015. We understand the technology - how to build functional data pipelines, analytics, and reporting. We have algorithms. We understand the culture issues of how to build a data-driven organization. This talk is about how to use these assets to imagine and create previously impossible products. Read more.