Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Keynotes

Hear inspiring and illuminating presentations from experts, researchers, and senior executives at Strata.

Amr Awadallah

Amr Awadallah
CTO, Cloudera

Amr Awadallah is the cofounder and CTO at Cloudera. Previously, Amr was an entrepreneur in residence at Accel Partners, served as vice president of product intelligence engineering at Yahoo, and ran one of the very first organizations to use... Read More.

9:50 Thursday, 2 May 2019
BMW’s journey to the data-driven enterprise from the edge to AI
BMW Group is an extraordinary company. As a technology pioneer it's an enterprise that recognizes the value that data to offers to the business. The company's global platform draws data from over 150 different systems and delivers governed data to various divisions. Join Amr Awadallah and Tobias Burger to discover some of BMW's most important use cases leveraging data from the edge to AI. Full Details
David Boyle

David Boyle
Director, Audience Strategies

David Boyle is passionate about helping businesses to build analytics-driven decision making to help them make quicker, smarter, and bolder decisions. Previously, he built global analytics and insight capabilities for a number of leading global entertainment businesses covering television (the... Read More.

9:35 Thursday, 2 May 2019
Combining creativity and analytics
Companies that harness creativity and data in tandem have growth rates twice as high as companies that don’t. David Boyle shares lessons from his successes and failures in trying to do just that across presidential politics, with pop stars, and with power brands in the world of luxury goods. Join in to find out how analysts can work differently to build these partnerships and unlock this growth. Full Details
Tobias Burger

Tobias Burger
Lead, Big Data Platform and Architecture, BMW Group

Tobias Bürger leads the Platform and Architecture Group within the Big Data, Machine Learning, and Artificial Intelligence Department at BMW Group, where he is responsible for the global big data platform that is the core technical pillar of the... Read More.

9:50 Thursday, 2 May 2019
BMW’s journey to the data-driven enterprise from the edge to AI
BMW Group is an extraordinary company. As a technology pioneer it's an enterprise that recognizes the value that data to offers to the business. The company's global platform draws data from over 150 different systems and delivers governed data to various divisions. Join Amr Awadallah and Tobias Burger to discover some of BMW's most important use cases leveraging data from the edge to AI. Full Details
John Burke

John Burke

James Burke has been called “one of the most intriguing minds in the Western world” by the Washington Post. His audience is global. His influence in the field of the public understanding of science and technology is acknowledged in citations... Read More.

10:15 Wednesday, 1 May 2019
Making the future
James Burke asks whether we can use big data and predictive analytics at the social level to take the guesswork out of prediction and make the future what we all want it to be. If so, this would give us the tools to handle what looks like being the greatest change to the way we live since we left the caves. Full Details
Alistair Croll

Alistair Croll
Founder, Solve For Interesting

Alistair Croll is an entrepreneur with a background in web performance, analytics, cloud computing, and business strategy. In 2001, he cofounded Coradiant (acquired by BMC in 2011) and has since helped launch Rednod, CloudOps, Bitcurrent, Year One Labs, and several... Read More.

9:00 Thursday, 2 May 2019
Thursday keynote welcome
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
9:00 Wednesday, 1 May 2019
Wednesday keynote welcome
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Full Details
Doug Cutting

Doug Cutting
Chief Architect, Cloudera

Doug Cutting is the chief architect at Cloudera and the founder of numerous successful open source projects, including Lucene, Nutch, Avro, and Hadoop. Doug joined Cloudera from Yahoo, where he was a key member of the team that built and... Read More.

9:00 Thursday, 2 May 2019
Thursday keynote welcome
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
9:00 Wednesday, 1 May 2019
Wednesday keynote welcome
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Full Details
Mick Hollison

Mick Hollison
Chief Marketing Officer, Cloudera

Mick leads Cloudera’s worldwide marketing efforts, including advertising, brand, communications, demand, partner, solutions, and web. Mick has had a successful 25-year career in enterprise and cloud software. Previously, he was CMO at sales acceleration and machine learning company InsideSales.com,... Read More.

9:10 Wednesday, 1 May 2019
The enterprise data cloud
The last decade has seen incredible changes in our technology. The advent of big data and powerful new analytic techniques, including machine learning and AI, means that we understand the world in ways that were simply impossible before. The simultaneous explosion of public cloud services has fundamentally changed our expectations of technology: it should be fast, simple, and flexible to use. Full Details
Cassie Kozyrkov

Cassie Kozyrkov
Chief Decision Scientist, Google

Cassie Kozyrkov is Google Cloud’s chief decision scientist. Cassie is passionate about helping everyone make better decisions through harnessing the beauty and power of data. She speaks at conferences and meets with leadership teams to empower decision makers to transform... Read More.

9:25 Wednesday, 1 May 2019
Making data science useful
Despite the rise of data engineering and data science functions in today's corporations, leaders report difficulty in extracting value from data. Many organizations aren’t aware that they have a blindspot with respect to their lack of data effectiveness, and hiring experts doesn’t seem to help. Join Cassie Kozyrkov to talk about how you can change that. Full Details
Ben Lorica

Ben Lorica
Chief Data Scientist, O'Reilly

Ben Lorica is the chief data scientist at O’Reilly. Ben has applied business intelligence, data mining, machine learning, and statistical analysis in a variety of settings, including direct marketing, consumer and market research, targeted advertising, text mining, and financial engineering.... Read More.

9:45 Wednesday, 1 May 2019
Sustaining machine learning in the enterprise
Keynote with Ben Lorica Full Details
9:00 Thursday, 2 May 2019
Thursday keynote welcome
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
9:00 Wednesday, 1 May 2019
Wednesday keynote welcome
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Full Details
Shingai Manjengwa

Shingai Manjengwa
Chief Executive Officer, Fireside Analytics Inc.

Shingai Manjengwa is the chief executive officer at Fireside Analytics Inc., a Canadian ed-tech startup that offers customized cloud-hosted data science training and consulting services to corporations, governments, and educational institutions. Fireside Analytics’s data science courses have over 300,000 registered... Read More.

9:20 Thursday, 2 May 2019
Building data science capacity in your organization
Shingai Manjengwa shares insights from teaching data science to 300,000 online learners, second-career college graduates, and grade 12/6th form high school students, explaining how business leaders can increase data science skill sets across different levels and functions in an organization to create real and measurable value from data. Full Details
Cait O'Riordan

Cait O'Riordan
Chief Product & Information Officer, Financial Times

Cait O’Riordan is the Financial Time’s (FT) chief product and information officer (CPIO). She’s responsible for platform and product strategy, development and operations across the FT Group, working in close partnership with editorial and commercial teams. She’s on the... Read More.

10:00 Wednesday, 1 May 2019
Finding your North Star
The Financial Times hit its target of 1 million paying subscribers a year ahead of schedule. Cait O'Riordan discusses the North Star metric the company uses to drive subscriber growth, detailing how it's embedded across the organization and within the engineering and product teams she's responsible for. Full Details
Chris Taggart

Chris Taggart
Cofounder and CEO, OpenCorporates

Chris Taggart is the cofounder and CEO of OpenCorporates, the largest open database of companies in the world. OpenCorporates’s primary mission is to open up and connect company data from across the globe, making it more useful, usable, and... Read More.

9:05 Thursday, 2 May 2019
The unstoppable rise of white box data
Chris Taggart explains the benefits of white box data and outlines the structural shifts that are moving the data world toward it. Full Details
Michael Tidmarsh

Michael Tidmarsh
Chief Technology Officer, Ogilvy

Mike Tidmarsh is Ogilvy’s global chief technology officer, responsible for fostering an environment where some of the brightest and most innovative marketing and creative technologists can use their knowledge, experience, and passion to make a real impact on client results... Read More.

10:00 Thursday, 2 May 2019
Rise of the (advertising) machines
Ogilvy's Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications and explores the impacts—good and bad—for professionals and consumers alike. Full Details
Sandra Wachter

Sandra Wachter
Assistant Professor and Lawyer, University of Oxford

Sandra Wachter is a lawyer and research fellow (assistant professor) in data ethics, AI, robotics, and internet regulation/cybersecurity at the Oxford Internet Institute at the University of Oxford, where she also teaches internet technologies and regulation. Sandra is also a... Read More.

10:15 Thursday, 2 May 2019
Privacy, identity, and autonomy in the age of big data and AI
Big data analytics and AI draw nonintuitive and unverifiable inferences about the behaviors, preferences, and lives of individuals. These inferences draw on diverse and feature-rich data of unpredictable value and create new opportunities for discriminatory, biased, and invasive decision making. Sandra Wachter discusses how this expands potential victims of discrimination and potential harm. Full Details