Presented By O'Reilly and Cloudera
Make Data Work
March 28–29, 2016: Training
March 29–31, 2016: Conference
San Jose, CA

Data-driven Business conference sessions

Tuesday, March 29

9:00am–12:30pm Tuesday, 03/29/2016
Location: LL20 B
Marie Beaugureau (O'Reilly Media, Inc. )
Average rating: ****.
(4.33, 12 ratings)
Data 101 introduces you to core principles of data architecture, teaches you how to build and manage successful data teams, and inspires you to do more with your data through real-world applications. Setting the foundation for deeper dives on the following days of Strata + Hadoop World, Data 101 reinforces data fundamentals and helps you focus on how data can solve your business problems. Read more.
9:00am–5:00pm Tuesday, 03/29/2016
Location: Hilton, Almaden Ballroom
Average rating: ***..
(3.40, 5 ratings)
Learn about the data innovations that have the potential to blindside even the most careful organizations. Aimed at decision makers, the Emerging Technology program focuses on how data-oriented startups, academics, and venture capitalists approach innovation and the potential for innovative technology to disrupt incumbent business models. Read more.
1:30pm–5:00pm Tuesday, 03/29/2016
Location: LL21 C/D
Edd Wilder-James (Google), Scott Kurth (Silicon Valley Data Science)
Average rating: ***..
(3.59, 22 ratings)
Big data and data science have great potential for accelerating business, but how do you reconcile the business opportunity with the sea of possible technologies? Conventional data strategy has little to guide us, focusing more on governance than on creating new value. Edd Dumbill and Scott Kurth explain how to create a modern data strategy that powers data-driven business. Read more.
4:20pm–4:40pm Tuesday, 03/29/2016
Location: 210 D/H
Sara Ahmadian (Seamless Planet)
Average rating: ***..
(3.00, 7 ratings)
Travel industry experts agree, personalization and smart data use are no longer luxuries—they're expected. Sara Ahmadian explains how big data allows better recommendations and a wider range of potential travel experiences for travelers, giving them the ability to truly personalize their travel preparations and experiences. Read more.

Wednesday, March 30

11:00am–11:40am Wednesday, 03/30/2016
Location: LL21 C/D
Denise McInerney (Intuit)
Average rating: ***..
(3.50, 12 ratings)
The most valuable people in your organization combine business acumen with data savviness. But these data heroes are rare. Denise McInerney describes how she has empowered business users at Intuit to make better decisions with data and explains how you can do the same thing in your organization. Read more.
11:50am–12:30pm Wednesday, 03/30/2016
Location: LL21 C/D
Lior Abraham (Interana)
Average rating: **...
(2.18, 11 ratings)
Lior Abraham explores how Tinder reinvented its behavioral analytics approach with Interana to tune matchmaking and business operations. Lior discusses strategies for behavioral analytics and explains how they can be applied at your company to increase conversion, improve engagement, and maximize retention. Read more.
1:50pm–2:30pm Wednesday, 03/30/2016
Location: LL21 C/D
Michael Dauber (Amplify Partners), Shivon Zilis (Bloomberg Beta), Cack Wilhelm (Scale Venture Partners), Roseanne Wincek (Institutional Venture Partners), Kristina Bergman (Ignition Partners)
Average rating: ***..
(3.87, 15 ratings)
In a panel discussion, top-tier VCs look over the horizon and consider the big trends in big data, explaining what they think the field will look like a few years (or more) down the road. Join us as Shivon Zilis, Cack Wilhelm, Michael Dauber, Kristina Bergman, and Roseanne Wincek talk about trends that everyone is seeing and areas for investment that they find exciting. Read more.
2:40pm–3:20pm Wednesday, 03/30/2016
Location: LL21 C/D
Jin Zhang (CA Technologies), Jerry Overton (DXC), Michele Chambers (Continuum Analytics)
Average rating: ***..
(3.14, 7 ratings)
Data has become a hot career choice, but some fear that a career in data is highly stressful or simply boring. Jin Zhang, Jerry Overton, and Michele Chambers give an overview of the field and its various specializations with the hope that this understanding will eliminate any fear and empower attendees to pursue a career in data. Read more.
4:20pm–5:00pm Wednesday, 03/30/2016
Location: LL21 C/D
Andreas Schmidt (Blue Yonder)
Average rating: ***..
(3.67, 6 ratings)
While many companies struggle to adopt big data, a number of industry leaders are leapfrogging big data adoption by going straight to automating core business processes. Andreas Schmidt presents examples from leading European companies that have overcome cultural, technical, and scientific challenges and unlocked the potential of big data in an entirely different way. Read more.
5:10pm–5:50pm Wednesday, 03/30/2016
Location: LL21 C/D
Benedikt Koehler (DataLion)
Average rating: ****.
(4.00, 5 ratings)
Benedikt Koehler offers approaches to analyzing and visualizing bitcoin data—accessing and downloading the blockchain, transforming the data into a networked data format, identifying hubs and clusters, and visualizing the results as dynamic network graphs—so that typical patterns and anomalies can quickly be identified. Read more.
5:10pm–5:50pm Wednesday, 03/30/2016
Location: 230 A
Steven Totman (Cloudera), Nick Curcuru (Mastercard), Robert Bagley (ClickFox), LORI BIEDA (Bank of Montreal)
Average rating: ***..
(3.75, 8 ratings)
In a panel discussion, Cloudera's Steve Totman talks about the practicalities and realities of big data-based customer 360 with big data experts Lori Bieda, Nick Curcuru, and Robert Bagley. Attend if you have challenges implementing big data-based customer 360 or just want to learn from the panel's real-world experiences. Read more.

Thursday, March 31

11:00am–11:40am Thursday, 03/31/2016
Location: LL21 C/D
Adam Sugano (Autodesk)
Average rating: ***..
(3.83, 6 ratings)
Autodesk's transition to a subscription business model has caused the company to rethink how it interacts with and engages its customers. Adam Sugano details how, in a short period of time, Autodesk has executed numerous data science projects that have enhanced its capabilities to acquire, retain, and provide more value to its customers. Read more.
11:50am–12:30pm Thursday, 03/31/2016
Location: LL20 C
Jeremy Howard ( | USF | and
Average rating: ****.
(4.00, 7 ratings)
In his 20+ years of applying machine learning and data analysis to a wide range of industries, Jeremy Howard never felt that his work really changed anyone's life in a deep and positive way, so he spent a year researching ways he might effect real change. Jeremy outlines the impact that deep learning is going to make on the world and explains how you too can make a difference. Read more.
11:50am–12:30pm Thursday, 03/31/2016
Location: LL21 C/D
Jeffrey Shmain (Cloudera), Mohammad Quraishi (Cigna)
Average rating: ****.
(4.67, 3 ratings)
How do you implement Apache Hadoop in a large healthcare company with a mature data-analysis infrastructure? Jeffrey Shmain and Mohammad Quraishi describe Cigna's journey toward big data and Hadoop, including an overview of new Hadoop capabilities like heterogeneous data integration and large-scale machine learning. Read more.
1:50pm–2:30pm Thursday, 03/31/2016
Location: LL21 C/D
Linus Liang (Embrace), Brad Allen (Silicon Valley Data Science)
Average rating: ****.
(4.29, 7 ratings)
Linus Liang and Brad Allen explain how big data is helping Embrace save millions of babies around the world. Embrace invented the world's most affordable infant incubator, but the data it collects—from the hardest to reach and most rural parts of the world—will actually save more lives than the device will. Read more.
2:40pm–3:20pm Thursday, 03/31/2016
Location: LL21 C/D
Tags: media
Christopher Berry (Canadian Broadcasting Corporation)
Average rating: ****.
(4.00, 4 ratings)
The Canadian Broadcasting Corporation broadcasts a lot of digital content. And Canadians create a huge amount of data about that content. So how does a public broadcaster, of all entities, broadcast its data exhaust? Christopher Berry details the CBC's early experiments with importing a variant of the lean startup into a 79-year-old institution. Read more.
4:20pm–5:00pm Thursday, 03/31/2016
Location: LL21 C/D
Tags: telecom
John Belchamber (Telefónica), Arturo Canales (Telefónica)
Average rating: ***..
(3.00, 6 ratings)
Increasing competition and technological change is impelling the telco industry toward a new model of analytics. Telefónica has been at the front of this change, driving business transformation to a digital telco. John Belchamber and Arturo Canales tell the story of that transformation and detail the pitfalls and challenges faced by teams looking to follow a similar journey. Read more.