Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

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. Executives in every industry need to make their data serve the strategic imperatives of their businesses.

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 concrete methodologies to move your company forward. You'll also receive a hand-picked lineup of executive briefings on key issues such as: artificial intelligence; predictive analytics and machine learning; cloud strategy; governance, security, and privacy; bot strategy and automation; and the Internet of Things.

In just 3 days, you’ll gather the intel you need to build data-driven strategies that deliver customer insight and drive efficiency and innovation in your business.

All Strata Data Conference Gold and Silver passes have access to Strata Business Summit Tuesday-Thursday. Platinum and Bronze passes have access to Strata Business Summit Wednesday-Thursday.

Tuesday September 26: Tutorials (Gold & Silver passes)
Location: 1E 06 Location: 1E 07/08 Location: 1E 09
12:30pm | Location: TBD
Lunch
5:00pm | Location: Expo Hall
Opening Reception
Wednesday September 27: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 1A 18 Location: 1E 10/11 Location: 1E 12/13
8:45 | Location: 3E
Strata Data Conference Keynotes
12:00pm
Wednesday Industry Tables at Lunch
6:05pm | Location: Expo Hall
Booth Crawl
7:30pm | Location: 230 Fifth Penthouse
Data After Dark
Thursday September 28: Keynotes & Sessions (Gold, Silver & Bronze passes)
Location: 1A 18 Location: 1E 10/11 Location: 1E 12/13
8:45 | Location: 3E
Strata Data Conference Keynotes
12:00pm
Thursday Industry Tables at Lunch
Add to your personal schedule
1:30pm5:00pm Tuesday, September 26, 2017
Location: 1E 06 Level: Intermediate
John Akred (Silicon Valley Data Science)
In this tutorial, we will share our methods and observations from three years of effectively deploying data science in enterprise organizations. Attendees will learn how to build, run, and get the most value from data science teams, and how to work with and plan for the needs of the business. Read more.
Add to your personal schedule
11:20am12:00pm Wednesday, September 27, 2017
Location: 1A 18 Level: Intermediate
Secondary topics:  Financial services
Atul Dalmia (American Express)
Are you a large company who relies on data and analytics to power your business? Then it’s time to come into the digital age, and big data is the answer! The key to making such a large transformation is enterprise adoption across a variety of end-users. Join American Express to learn best practices from their 5 year journey, the biggest challenges you’ll face and ideas on how to solve for them. Read more.
Add to your personal schedule
11:20am12:00pm Wednesday, September 27, 2017
Location: 1E 10/11 Level: Non-technical
Secondary topics:  Media
Yael Garten (LinkedIn)
Data science is a rewarding career. It's also hard—not just the technical work itself but also "how to do the work well" in an organization. Garten explores what data scientists do, how they fit into the broader company organization, how they can excel at their trade, shares the hard and soft skills required, and challenges to watch out for, and tips & tricks for success and #DataScienceHappiness. Read more.
Add to your personal schedule
11:20am12:00pm Wednesday, September 27, 2017
Location: 1E 12/13
Michael Chui (McKinsey Global Institute)
This Executive Briefing is a part of the Strata Business Summit. Details to come. Read more.
Add to your personal schedule
1:15pm1:55pm Wednesday, September 27, 2017
Location: 1A 18 Level: Advanced
Milind Nagnur (Citigroup)
At Citi, Big Data is not just a storage or analytical tool anymore. Mix workloads such as core data warehousing, regulatory reporting, management reporting and core business processes are redesigned and enabled by Citi's Enterprise Analytic Platform 2.0 (EAP 2.0)built on Big Data Technologies. The people behind Citi's enterprise data vision will join us to share their perspective Read more.
Add to your personal schedule
1:15pm1:55pm Wednesday, September 27, 2017
Location: 1E 10/11
Chris Neumann (500 Startups)
This panel brings together partners from some of the world’s leading startup accelerators with founders of up-and-coming enterprise data startups to discuss how we can help create the next generation of successful enterprise data companies. Read more.
Add to your personal schedule
1:15pm1:55pm Wednesday, September 27, 2017
Location: 1E 12/13 Level: Non-technical
Alysa Z. Hutnik (Kelley Drye & Warren LLP)
Big Data promises enormous benefits for companies. But what about privacy, data protection, and consumer laws? Having a solid understanding of the legal and self-regulatory rules-of-the-road are key to maximizing the value of your data, and avoiding data disasters. Alysa Hutnik will provide legal best practices and practical tips to avoid becoming a Big Data “don’t.” Read more.
Add to your personal schedule
2:05pm2:45pm Wednesday, September 27, 2017
Location: 1A 18 Level: Intermediate
Secondary topics:  Financial services, Platform
Nandu Jayakumar (Visa), Ewa Ding (Cloudera)
At Visa, the process of optimizing the enterprise data warehouse and consolidating data marts by migrating these analytic workloads to Hadoop has played a key role in the adoption of the platform and how data has transformed Visa as an organization. This talk will look at Visa’s experience with this process and provide some best practices for organizations migrating workloads to Hadoop. Read more.
Add to your personal schedule
2:05pm2:45pm Wednesday, September 27, 2017
Location: 1E 10/11
Michael Dauber (Amplify), Sarah Catanzaro (Canvas Ventures)
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. Read more.
Add to your personal schedule
2:05pm2:45pm Wednesday, September 27, 2017
Location: 1E 12/13
Ashish Verma (Deloitte Consulting LLP)
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
2:55pm3:35pm Wednesday, September 27, 2017
Location: 1A 18 Level: Intermediate
Secondary topics:  Financial services
Tobi Bosede (Capital One)
Whether an entity seeks to create trading algorithms or mitigate risk, predicting trade volume is an important. This talk focuses on futures trading and rely on Apache Spark for processing the large amount data. We will consider the use of penalized regression splines for trade volume prediction and the relationship between price volatility and trade volume. Read more.
Add to your personal schedule
2:55pm3:35pm Wednesday, September 27, 2017
Location: 1E 10/11 Level: Beginner
Secondary topics:  AI, Marketing
Elsie Kenyon (Nara Logics)
Enterprises today pursue AI applications to replace logic-based "expert systems", employing AI techniques to learn from customer and operational signals. But, training data can be limited or non-existent, and applying or extrapolating the wrong dataset can have business and reputational costs. We’ll review how to harness institutional, human knowledge to augment data in deployed AI solutions. Read more.
Add to your personal schedule
2:55pm3:35pm Wednesday, September 27, 2017
Location: 1E 12/13
Andy Mauro (Automat)
Andy Mauro, Cofounder and CEO, Automat Read more.
Add to your personal schedule
4:35pm5:15pm Wednesday, September 27, 2017
Location: 1E 10/11 Level: Intermediate
Secondary topics:  Healthcare
Charles Boicey (Clearsense)
Clearsense uses Spark Streaming to provide real-time updates to healthcare providers for critical healthcare needs. Clinicians make timely decisions from the assessment of a patient's risk for Code Blue, Sepsis, and other conditions based on information gathered from streaming physiological monitoring along with streaming diagnostic data and the patient historical record. Read more.
Add to your personal schedule
4:35pm5:15pm Wednesday, September 27, 2017
Location: 1E 12/13
Edd Wilder-James (Silicon Valley Data Science), Scott Kurth (Silicon Valley Data Science)
In this executive briefing, Edd Wilder-James will present a road map for executives who are beginning to consider their strategies for implementing artificial intelligence in their critical processes. Read more.
Add to your personal schedule
5:25pm6:05pm Wednesday, September 27, 2017
Location: 1A 18 Level: Advanced
Jerrard Gaertner (University of Toronto)
Engaging, teaching, mentoring and advising mature, mostly employed, often enthusiastic and ambitious adult learners at University of Toronto has taught me more about analytics in the real world than I ever imagined. From hyped-up expectations and internal sabotage to organisational streamlining and creating transformative insight, my students have seen it all. Let me share some stories with you. Read more.
Add to your personal schedule
5:25pm6:05pm Wednesday, September 27, 2017
Location: 1E 10/11 Level: Non-technical
Secondary topics:  Marketing, Retail
Karen Moon (Trendalytics), Marta Jamrozik (Claire), Jared Schiffman (Perch Interactive), Dor Sela (Khan Lucas)
Finally, retailers are leveraging data and its insights across all parts of the supply chain to drive a profound transformation in the retail industry. From crafting assortments based on consumer demand signals, to re-imagining consumer interactions with such products, to receiving and processing customer feedback, modern day retailers have re-imagined the product development process. Read more.
Add to your personal schedule
5:25pm6:05pm Wednesday, September 27, 2017
Location: 1E 12/13
Jason McIntyre (Accenture)
Jason McIntyre, Managing Director, Accenture Read more.
Add to your personal schedule
11:20am12:00pm Thursday, September 28, 2017
Location: 1A 18 Level: Beginner
Evan Levy (SAS)
This presentation identifies the 5 essential components that make up a data strategy and explores the individual attributes of each component. This exploratory approach allows to audience to learn the fundamentals of data strategy along with understanding how the details may differ across organizations of varying complexity (a corporate division, a business unit, or an enterprise). Read more.
Add to your personal schedule
11:20am12:00pm Thursday, September 28, 2017
Location: 1E 10/11 Level: Beginner
David Boyle (BBC Worldwide)
Too many brilliant analytical minds are wasted on interesting but ultimately less-impactful problems - stuck in the weeds of the data / challenges of our day-to-day. Too few ask what it means to reach for the stars - the big, shiny, business-changing issues. Come to get fired up about asking bigger questions and making a bigger difference! Examples from experience in politics, music and TV. Read more.
Add to your personal schedule
11:20am12:00pm Thursday, September 28, 2017
Location: 1E 12/13
Hilary Mason (Fast Forward Labs)
Progress in machine learning has allowed us to imagine that we might soon be able to build machines that talk to us using the same interfaces that we use to talk to each other -- natural language. In this talk we'll explore how close we are to that ideal, and walk through the current state of natural language technologies. Read more.
Add to your personal schedule
1:15pm1:55pm Thursday, September 28, 2017
Location: 1A 18 Level: Intermediate
Secondary topics:  Media
Michael Li (LinkedIn), Chi-Yi Kuan (LinkedIn)
We sincerely hope we will get a great chance to speak at Strata New York, to share our experiences and lessons in big data analytics at LinkedIn. We will present the EOI framework for big data analytics and explain how to leverage this framework to drive and grow business in key corporate functions such as product, marketing, and sales. Read more.
Add to your personal schedule
1:15pm1:55pm Thursday, September 28, 2017
Location: 1E 10/11 Level: Intermediate
Secondary topics:  Architecture, Media, Platform
Kurt Brown (Netflix)
How can you get the most out of your data infrastructure? Come and find out what we do at Netflix and why. We'll run through 20 principles & practices that we've refined and embraced over time. For each one, we'll weave in how they interplay with the technologies we use at Netflix (e.g. S3, Spark, Presto, Druid, R, Python, Jupyter,...). Read more.
Add to your personal schedule
1:15pm1:55pm Thursday, September 28, 2017
Location: 1E 12/13
Carme Artigas (Synergic Partners)
Big data technology is mature, but its adoption by business is slow, due in part to challenges like a lack of resources or the need for a cultural change. Carme Artigas explains why an analytics center of excellence (ACoE), whether internal or outsourced, is an effective way to accelerate the adoption and shares an approach to implementing an ACoE. Read more.
Add to your personal schedule
2:05pm2:45pm Thursday, September 28, 2017
Location: 1A 18 Level: Intermediate
Francesca Lazzeri (Microsoft), Hong Lu (Microsoft)
New machine learning technologies allow companies to apply better staffing strategies by taking advantage of historical data. Assigning the right people to new projects is critical for the success of each project and the overall profitability of an organization. We developed a workforce placement recommendation solution that recommends staff with the best professional profile for new projects. Read more.
Add to your personal schedule
2:55pm3:35pm Thursday, September 28, 2017
Location: 1A 18 Level: Non-technical
Secondary topics:  Cloud, Financial services
Kelley Yohe (Swift Capital), Steven Totman (Cloudera), Emmie Watt (Air New Zealand), Katarina Kolich (BNZ)
Senior execs from a variety of major companies in Australia and New Zealand including Air New Zealand, Westpac, ANZ and BNZ who have been pioneering the adoption of Big Data technologies like Hadoop will share use cases, challenges and how to be successful Down Under in the geographic location on the opposite side of the world from where technologies like Hadoop got started. Read more.
Add to your personal schedule
2:55pm3:35pm Thursday, September 28, 2017
Location: 1E 10/11 Level: Non-technical
Jesse Anderson (Big Data Institute)
If you’re creating a data engineering team, there are common mistakes and patterns. These lead a data engineering team to either fail or perform at a much lower level. Early project success is predicated on management making sure the team is ready and has all of the skills needed. Read more.
Add to your personal schedule
2:55pm3:35pm Thursday, September 28, 2017
Location: 1E 12/13 Level: Non-technical
Organizations need a process and supporting frameworks to become more effective at leveraging data and analytics to transform their business models. This workshop will use Big Data Business Model Maturity Index as a guide, and provide worksheets for assessing the business value and implementation feasibility with respect to the monetization potential of an organization’s business use cases. Read more.
Add to your personal schedule
4:35pm5:15pm Thursday, September 28, 2017
Location: 1A 18 Level: Intermediate
Secondary topics:  Architecture
Philip Russom (TDWI: The Data Warehousing Institute)
About the time Hadoop turned 10, long-time users realized they lack viable methods for it. Mature IT groups continue to be appalled by the governance-free data dumping and lack of audit trail common with Hadoop. And business users are frustrated by the low value and trust they get from Hadoop data. Now, they're all turning to the data lake, which promises to improve Hadoop usage and value. Read more.
Add to your personal schedule
4:35pm5:15pm Thursday, September 28, 2017
Location: 1E 10/11 Level: Non-technical
Tanya Cashorali (TCB Analytics)
Given the recent demand for data analytics and data science skills, adequately testing and qualifying candidates can be a daunting task. Interviewing hundreds of individuals of varying experience and skill levels requires a standardized approach. Tanya Cashorali explores strategies, best practices, and deceptively simple interviewing techniques for data analytics and data science candidates. Read more.
Add to your personal schedule
4:35pm5:15pm Thursday, September 28, 2017
Location: 1E 12/13 Level: Intermediate
Ted Malaska (Blizzard), Jonathan Seidman (Cloudera)
Creating a successful big data practice in your organization presents new challenges in managing projects and teams. In this tutorial we'll provide guidance and best practices to help technical leaders deliver successful projects from planning to implementation. Read more.
Add to your personal schedule
9:00am5:00pm Tuesday, September 26, 2017
Location: 1E 07/08
William Mok (The Tech Trader Fund), Leigh Drogen (Estimize), Vincent-Charles Hodder (www.locallogic.co), Sastry Durvasula (American Express), Priya Koul (American Express), Abraham Thomas (Quandl), Jessica Stauth (Quantopian), Jason Morton (Corvil), Alistair Croll (Solve For Interesting), Robert Passarella (Protege Partners)
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. Read more.
Add to your personal schedule
9:00am5:00pm Tuesday, September 26, 2017
Location: 1E 09
Rose Winterton (Pitney Bowes), Audrey Spencer-Alvarado (Portland Trail Blazers), Amie Elcan (CenturyLink), Sean Power (Repable Inc), Parisa Foster (Play The Future), Nick Selby (CJX, Inc | Midlothian Police Department)
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, September 26, 2017
Location: 1E 06
Shannon Cutt (O'Reilly Media, Inc.), Edd Wilder-James (Silicon Valley Data Science), Jim Scott (MapR Technologies, Inc.), Julie Rodriguez (Sapient Global Markets)
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.