Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA

Strata Business Summit

Make data work for business.

Tailored for executives, business leaders, and strategists, Strata Business Summit is the missing MBA for data-driven business.

From banking to biotech, retail to government, entertainment to energy—every sector is changing in the face of abundant data. And fundamentally, data should serve the strategic imperatives of the business.

At Strata Business Summit, learn how some of the world’s leading companies build modern data strategies. You’ll discover game-changing technologies and their business applications—and how to move your enterprise forward to bridge the gap. You'll also receive a hand-picked lineup of executive briefings on key issues such as: predictive analytics and machine learning, Cloud strategy, governance security and privacy, IoT, and artificial intelligence, and more.

In just 3 days, you’ll have the intel you need to build strategies and data-driven business models that deliver customer insight, drive efficiency and innovation in products & services, modernize architecture, reduce costs, and lower risk.

Tailored for executives, business leaders, and strategists, Strata Business Summit is the missing MBA for data-driven business. Build strategies and business models that deliver customer insight, increase efficiency and innovation, and modernize architecture.

All Strata + Hadoop World Gold and Silver passes have access to Strata Business Summit on Tues-Thurs. Strata + Hadoop World Platinum and Bronze passes have access to Strata Business Summit on Wed-Thurs.

Tuesday March 14: Tutorials (Gold & Silver passes)
Location: LL20 A Location: LL20 B Location: LL20 C Location: 210 B/F
12:30pm | Location: 230 A-C
Lunch
5:00pm | Location: Hall 1, 2, 3
Opening Reception
Wednesday March 15: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 210 D/H Location: 212 C
8:45 | Location: San Jose Ballroom
Strata + Hadoop World Keynotes
12:30pm
Wednesday Summit Lunch
5:40pm | Location: Hall 1, 2, 3
Booth Crawl
7:00pm | Location: TBD
Data After Dark: Night at The Tech
Thursday March 16: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 210 C/G Location: 210 D/H
8:45 | Location: San Jose Ballroom
Strata + Hadoop World Keynotes
12:30pm
Thursday Summit Lunch
Add to your personal schedule
9:00am5:00pm Tuesday, March 14, 2017
Location: LL20 A
Barbara Eckman (Comcast), Dirk Jungnickel (Emirates Integrated Telecommunications Company (du)), Kishore Papineni (Astellas Pharma), Paul Barth (Podium Data), Carlo Torniai (Pirelli Tyre), Bryan Harrison (American Express), Chris Murphy (Zurich Insurance Group), Martin Lidl (Deloitte), Maura Lynch (Pinterest), Nixon Patel (Kovid Group), Bas Geerdink (ING), Robin Li (Tapjoy), Yohan Chin (Tapjoy), Jim Harrold (NationBuilder), Lana Novikova (Heartbeat AI Technologies)
In a series of 12 half-hour talks aimed at a business audience, you’ll hear data-themed case studies from household brands and global companies, explaining the challenges they wanted to tackle, the approaches they took, and the benefits—and drawbacks—of their solutions. If you want practical insights about applied data, look no further. Read more.
Add to your personal schedule
9:00am12:30pm Tuesday, March 14, 2017
Location: LL20 C
Edd Wilder-James (Google), Ellen Friedman (Independent), Jim Scott (MapR Technologies), Gabriela de Queiroz (R-Ladies), Melanie Warrick (Google), Aneesh Karve (Quilt)
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.
Add to your personal schedule
9:00am5:00pm Tuesday, March 14, 2017
Location: LL20 B
Michael Abbott (Kleiner Perkins Caufield & Byers), Christopher Pouliot (Nio), Jennifer Anderson, Renee DiResta (Haven), Coco Krumme (Haven | UC Berkeley), Ryan Baumann (Mapbox), Jay White Bear (IBM), Andre Luckow (BMW Group), Rajiv Paul (Yakit), Evangelos Simoudis (Synapse Partners), Roland Major (Transport for London), Rodrigo Fontecilla (Unisys), Lloyd Palum (Vnomics), Andreas Ribbrock (#zeroG, A Lufthansa Systems Company)
Data, Transportation, and Logistics Day offers a daylong deep-dive into how data science is changing transportation and logistics. We’ll investigate the latest advances in and applications of self-driving vehicles, automated drones, and embedded sensors and explore how new uses of data are challenging the industry to evolve infrastructure for the future. Read more.
Add to your personal schedule
1:30pm5:00pm Tuesday, March 14, 2017
Location: LL20 C
William Schmarzo (Dell EMC)
Average rating: *****
(5.00, 4 ratings)
Organizations need a model to measure how effectively they are using data and analytics. Once they know where they are and where they need to go, they then need a framework to determine the economic value of their data. William Schmarzo explores techniques for getting business users to “think like a data scientist” so they can assist in identifying data that makes the best performance predictors. Read more.
Add to your personal schedule
1:30pm5:00pm Tuesday, March 14, 2017
Location: 210 B/F Level: Intermediate
Edd Wilder-James (Google), Scott Kurth (Silicon Valley Data Science)
Average rating: ****.
(4.17, 6 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? Data should serve the strategic imperatives of a business—those aspirations that will define an organization’s future vision. Scott Kurth and Edd Wilder-James explain how to create a modern data strategy that powers data-driven business. Read more.
Add to your personal schedule
11:00am11:40am Wednesday, March 15, 2017
Location: 210 D/H Level: Intermediate
Jack Norris (MapR Technologies)
Average rating: ****.
(4.33, 3 ratings)
Leading companies are integrating operations and analytics to make real-time adjustments to improve revenues, reduce costs, and mitigate risks. There are many aspects to digital transformation, but the timely delivery of actionable data is both a key enabler and an obstacle. Jack Norris explores how companies from TransUnion to Uber use event-driven processing to transform their businesses. Read more.
Add to your personal schedule
11:00am11:40am Wednesday, March 15, 2017
Location: 212 C
Satya Ramaswamy (Tata Consultancy Services), Sunil Karkera (Tata Consultancy Services)
Average rating: ***..
(3.00, 3 ratings)
Satya Ramaswamy and Sunil Karkeraof offer an overview of the recent technical advances that have made the current AI revolution possible, convincingly answering the "why now?" question. Read more.
Add to your personal schedule
11:50am12:30pm Wednesday, March 15, 2017
Location: 210 D/H Level: Non-technical
Yael Garten (LinkedIn)
Average rating: ****.
(4.91, 11 ratings)
Data science is a rewarding career. It's also really hard—not just the technical work itself but also "how to do the work well" in an organization. Yael Garten explores what data scientists do, how they fit into the broader company organization, and how they can excel at their trade and shares the hard and soft skills required, tips and tricks for success, and challenges to watch out for. Read more.
Add to your personal schedule
11:50am12:30pm Wednesday, March 15, 2017
Location: 212 C
John Matchette (Accenture Analytics), Leonard Hinds (Accenture)
Average rating: ****.
(4.00, 4 ratings)
Join John Matchette and Leonard Hinds as they offer insights into how leading enterprises are unlocking new economic possibilities by embedding intelligence into the core of their business and explore five key actions businesses are taking today to realize the promise of big data and analytics. Read more.
Add to your personal schedule
1:50pm2:30pm Wednesday, March 15, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Data Platform, ecommerce, Streaming
Chandan Joarder (Macys.com)
Average rating: ***..
(3.56, 9 ratings)
Chandan Joarder shares a guide to building real-time dashboards in-house using tools such as Kafka, web frameworks, and an in-memory database, utilizing JavaScript and Scala. Along the way, Chandan also discusses the architectural principles used in these dashboards to provide up-to-the-hour business performance metrics and alerts. Read more.
Add to your personal schedule
1:50pm2:30pm Wednesday, March 15, 2017
Location: 212 C
Average rating: ***..
(3.80, 5 ratings)
Jerry Overton provides an executive's guide to understanding advanced analytics in the cloud—offering a comprehensive survey of cloud technologies, patterns of cloud-based architectures, and patterns of enterprise cloud adoption, describing paths to achieving a cognitive enterprise, and outlining the realistic next steps for executives. Read more.
Add to your personal schedule
2:40pm3:20pm Wednesday, March 15, 2017
Location: 210 D/H Level: Intermediate
Vishal Bamba (Transamerica), Rocky Tiwari (Transamerica)
Vishal Bamba and Rocky Tiwari offer an overview of Transamerica's Customer 360 platform and the work done afterward to utilize this technology, including graph databases and machine learning to help create targeted segments for products and campaigns. Read more.
Add to your personal schedule
2:40pm3:20pm Wednesday, March 15, 2017
Location: 212 C Level: Beginner
Alysa Z. Hutnik (Kelley Drye & Warren LLP), Crystal Skelton (Kelley Drye & Warren LLP)
Average rating: ****.
(4.00, 3 ratings)
Big data promises enormous benefits for companies, and new innovations in this space only mean more data collection is required. Having a solid understanding of legal obligations will help you avoid the legal snafus that can come with collecting big data. Alysa Hutnik and Crystal Skelton outline legal best practices and practical tips to avoid becoming a big data “don’t.” Read more.
Add to your personal schedule
4:20pm5:00pm Wednesday, March 15, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Data Platform, Financial services, Media, Text
Alan Chaney (Bitvore Corp)
Average rating: ***..
(3.50, 2 ratings)
Bitvore Corp’s Bitvore for Munis personalized news surveillance system is rapidly becoming a must-have for all major fixed-income securities analysts, investors, and brokers working in the three-trillion-dollar municipal bond market in the USA. Alan Chaney explains how Bitvore delivers the few important and relevant articles out of thousands each day, saving users many hours daily. Read more.
Add to your personal schedule
4:20pm5:00pm Wednesday, March 15, 2017
Location: 212 C
Teresa Tung (Accenture Labs)
Average rating: ****.
(4.25, 4 ratings)
The IoT is driven by outcomes delivered by applications, but to gain operational efficiency, many organizations are looking toward a horizontal platform for delivering and supporting a number of applications. Teresa Tung explores how to choose and implement a platform—and deal with the fact that the platform is horizontal and application outcomes are vertical. Read more.
Add to your personal schedule
5:10pm5:50pm Wednesday, March 15, 2017
Location: 210 D/H Level: Beginner
Secondary topics:  Media
Viral Bajaria (6Sense)
Average rating: ****.
(4.00, 1 rating)
What if companies could predict what products people will buy, how much they will buy, and when? It would be a game changer—and it’s already possible with the power of predictive intelligence. Viral Bajaria explores how BlueJeans Network was able to leverage predictive analytics to uncover buyers earlier, convert them at a 20x higher rate, and build a $33M pipeline. Read more.
Add to your personal schedule
5:10pm5:50pm Wednesday, March 15, 2017
Location: 212 C
Ashish Verma (Deloitte)
Average rating: ****.
(4.50, 8 ratings)
Ashish Verma explores the challenges organizations face after investing in hardware and software to power their analytics projects and the missteps that lead to inadequate data practices. Ashish explains how to course-correct and implement an insight-driven organization (IDO) framework that enables you to derive tangible value from your data faster. Read more.
Add to your personal schedule
11:00am11:40am Thursday, March 16, 2017
Location: 210 C/G Level: Non-technical
Mehmet Irmak Sirer (Datascope Analytics)
Average rating: ***..
(3.83, 12 ratings)
In a data-driven organization, vice presidents, directors, and managers play a crucial role as translators between senior leadership and data science teams. They don’t need to be full-fledged data scientists, but they do need data science "street smarts” in order to succeed in this critical task. Mehmet Irmak Sirer outlines the skills they need and gives practical ways to improve them. Read more.
Add to your personal schedule
11:00am11:40am Thursday, March 16, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Data Platform, Streaming, Telecom
Todd Mostak (MapD), Abdul Subhan (Verizon Wireless)
Average rating: ****.
(4.00, 2 ratings)
With more than 91M customers, Verizon produces oceans of data. The challenge this onslaught presents isn’t one of storage—it’s one of speed. The solution? Harnessing the power of GPUs to access insights in less than a millisecond. Todd Mostak and Abdul Subhan explain how Verizon solved its data challenge by implementing GPU-tuned analytics and visualization. Read more.
Add to your personal schedule
11:50am12:30pm Thursday, March 16, 2017
Location: 210 C/G Level: Non-technical
Secondary topics:  Media
Brian Lange (Datascope)
Average rating: ****.
(4.00, 2 ratings)
The goal of RCSA's Scialog conferences is to foster collaboration between scientists with different specialties and approaches, and, working with Datascope, the company has been doing so in a quantitative way for the last six years. Brian Lange discusses how Datasope and RCSA arrived at the problem, the design choices made in the survey and optimization, and how the results were visualized. Read more.
Add to your personal schedule
11:50am12:30pm Thursday, March 16, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Data for good, Healthcare
Emily Spahn (ProKarma)
Average rating: ****.
(4.25, 4 ratings)
Many hospitals combine early warning systems with rapid response teams (RRT) to detect patient decline and respond with elevated care. Predictive models can minimize RRT events by identifying at-risk patients, but modeling is difficult because events are rare and features are varied. Emily Spahn explores the creation of one such patient-risk model and shares lessons learned along the way. Read more.
Add to your personal schedule
1:50pm2:30pm Thursday, March 16, 2017
Location: 210 C/G Level: Non-technical
Secondary topics:  Data for good
Gillian Docherty (The Data Lab)
Average rating: ****.
(4.33, 3 ratings)
Gillian Docherty shares her experience leading The Data Lab, an innovation center focused on helping organizations drive economic and social benefit through data science and analytics. Along the way, Gillian discusses some of the projects her teams have supported, from multinationals to startups, and explains how they leverage academic capability to help drive innovation from data. Read more.
Add to your personal schedule
1:50pm2:30pm Thursday, March 16, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Data Platform, Geospatial, Logistics
Mike Koelemay (Sikorsky Aircraft, Lockheed Martin)
Average rating: *****
(5.00, 2 ratings)
Sikorsky collects data onboard thousands of helicopters deployed worldwide that is used for fleet management services, engineering analyses, and business intelligence. Mike Koelemay offers an overview of the data platform that Sikorsky has built to manage the ingestion, processing, and serving of this data so that it can be used to rapidly generate information to drive decision making. Read more.
Add to your personal schedule
2:40pm3:20pm Thursday, March 16, 2017
Location: 210 C/G Level: Intermediate
Secondary topics:  ecommerce, Retail
Eric Colson (Stitch Fix)
Average rating: ****.
(4.36, 14 ratings)
Data scientists blend the skills of statisticians, software engineers, and domain experts to create new roles. Data science isn't merely an amalgam of disciplines but rather a gestalt which synthesizes the ethos of various fields. This merits new thinking when it comes to organization. Eric Colson explores some novel—and often unintuitive—ways to unleash the value of your data science team. Read more.
Add to your personal schedule
2:40pm3:20pm Thursday, March 16, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Media
Romit Jadhwani (Pinterest)
Average rating: ****.
(4.75, 4 ratings)
Over the course of just six years, Pinterest has helped over 100 million pinners discover and collect over 75+ billion ideas to plan their everyday lives. Romit Jadhwani walks you through the different phases of this hypergrowth journey and explores the focuses, thought processes, and decisions of Pinterest’s data team as they scaled and enabled this growth. Read more.
Add to your personal schedule
4:20pm5:00pm Thursday, March 16, 2017
Location: 210 C/G Level: Non-technical
Robert Cohen (Economic Strategy Institute)
Programmable enterprises are developing their businesses around cloud computing, big data, and the internet of things. Robert Cohen explores how infrastructure changes will alter corporate use of software, skilled employees, and strategies, the business and economic impacts of these changes, and the broader impacts of these shifts on our economy and society. Read more.
Add to your personal schedule
4:20pm5:00pm Thursday, March 16, 2017
Location: 210 D/H Level: Intermediate
Secondary topics:  Data Platform, ecommerce, Streaming, Text
Mahesh Goud T (Ticketmaster)
Average rating: **...
(2.00, 1 rating)
Mahesh Goud shares success stories using Ticketmaster's large-scale contextual bandit platform for SEM, which determines the optimal keyword bids under evolving keyword contexts to meet different business requirements, and explores Ticketmaster's streaming pipeline, consisting of Storm, Kafka, HBase, the ELK Stack, and Spring Boot. Read more.