Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK

Keynotes

马子雅 (Ziya Ma)

马子雅 (Ziya Ma)
Vice President, Big Data Technologies, Intel

Ziya Ma is the general manager of the global Big Data Technologies organization in Intel’s Software and Services Group (SSG) in the System Technologies and Optimization (STO) Division. Her organization focuses on optimizing big data on Intel’s platform,... Read More.

9:25 Thursday, 25 May 2017
Ziya Ma outlines the challenges for applying machine learning and deep learning at scale and shares solutions that Intel has enabled for customers and partners. Full Details

Paul Brook
EMEA Big Data Analytics Team Lead, Dell EMC

Paul Brook is the EMEA big data analytics team lead at Dell EMC, where he leads a team of specialists working with customers, business partners, and technology integrators to deliver analytics and big data solutions that make money... Read More.

10:05 Wednesday, 24 May 2017
Reliance only upon traditional data could lead to a catastrophic decision. Paul Brook explores the music industry to show how using modern information points, derived from technologies within the Hadoop framework, brings new data that changes the way a business or organization makes decisions. Full Details

Mandy Chessell
IBM Distinguished Engineer, IBM

Mandy Chessell is a master inventor, fellow of the Royal Academy of Engineering, and a distinguished engineer at IBM, where she is driving IBM’s strategic move to open metadata and governance through the Apache Atlas open source project. Mandy... Read More.

9:20 Wednesday, 24 May 2017
Mandy Chessell explores the role that open source, embeddable, and interconnected metadata capability play in building a metadata highway. Full Details
Eddie Copeland

Eddie Copeland
Director of Government Innovation, Nesta

Eddie Copeland is director of government innovation at Nesta, an innovation foundation and think tank, where he leads work on government data, behavioral insights, digital public services, and digital democracy. Previously, Eddie was head of technology policy at Policy Exchange,... Read More.

9:10 Thursday, 25 May 2017
Eddie Copeland shares lessons learned from piloting the London Office of Data Analytics, a collaboration between the Greater London Authority, Nesta, and ASI Data Science that is exploring the potential of applying data analytics to reform public services. 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, 25 May 2017
Program chairs Roger Magoulas, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
9:00 Wednesday, 24 May 2017
Program chairs Roger Magoulas, 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, 25 May 2017
Program chairs Roger Magoulas, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
9:00 Wednesday, 24 May 2017
Program chairs Roger Magoulas, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Full Details
Anthony Goldbloom

Anthony Goldbloom
CEO, Kaggle

Anthony Goldbloom is cofounder and CEO of Kaggle. In 2011 and 2012, Forbes magazine named Anthony one of the 30 under 30 in technology, and in 2013, MIT Tech Review named him one of top 35 innovators under... Read More.

9:50 Wednesday, 24 May 2017
Kaggle is a community of almost a million data scientists, who have built more than two million machine-learning models while participating in Kaggle competitions. Data scientists come to Kaggle to learn, collaborate, and develop the state of the art in machine learning. Anthony Goldbloom shares lessons learned from top performers in the Kaggle community. Full Details
Grace Huang

Grace Huang
Data Science Lead, Pinterest

Grace Huang is the data science lead for discovery at Pinterest, where discovery products like recommendations and personalization are developed. She is passionate about building data science products around machine-learning algorithms to drive better experience for Pinterest users and build... Read More.

10:05 Thursday, 25 May 2017
Grace Huang shares lessons learned from running and interpreting machine-learning experiments and outlines launch considerations that enable sustainable, long-term ecosystem health. Full Details
Roger Magoulas

Roger Magoulas
Research Director, O'Reilly Media

Roger Magoulas is the research director at O’Reilly Media and chair of the Strata + Hadoop World conferences. Roger and his team build the analysis infrastructure and provide analytic services and insights on technology-adoption trends to business decision makers at... Read More.

9:00 Thursday, 25 May 2017
Program chairs Roger Magoulas, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
9:00 Wednesday, 24 May 2017
Program chairs Roger Magoulas, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Full Details
Aida Mehonic

Aida Mehonic
Principal, ASI Data Science

Aida Mehonic is an engagement manager at ASI Data Science with a focus on financial services. Previously, she worked in investment banking for four years, most recently as a front office strategist at JPMorgan Investment Bank developing quantitative models... Read More.

9:50 Thursday, 25 May 2017
Aida Mehonic, Engagement Manager in Data Science, ASI Data Science Full Details
Tim O'Reilly

Tim O'Reilly
Founder and CEO, O'Reilly Media

Tim O’Reilly has a history of convening conversations that reshape the computer industry. In 1998, he organized the meeting where the term “open source software” was agreed on and helped the business world understand its importance. In 2004, with the... Read More.

10:20 Thursday, 25 May 2017
The history of technology shows that while new technology has always destroyed jobs, it has also created new ones, in part because it makes things that were previously too expensive cheap enough to expand demand. Tim O'Reilly explains how AI will make currently unthinkable things possible. If we put it to work properly, it can lead to prosperity. Full Details
Mike Olson

Mike Olson
CSO and Chairman, Cloudera

Mike Olson cofounded Cloudera in 2008 and served as its CEO until 2013, when he took on his current role of chief strategy officer. As CSO, Mike is responsible for Cloudera’s product strategy, open source leadership, engineering alignment,... Read More.

9:35 Thursday, 25 May 2017
Mike Olson and Tom Smith explain how the Office of National Statistics (ONS), the UK's largest independent producer of official statistics, is leveraging data science to create repeatable, accurate, and transferable statistical research while decreasing time in developing models with better visibility and results. Full Details
Aurélie Pols

Aurélie Pols
Chief Visionary Officer, Mind Your Privacy

Aurélie Pols designs data privacy best practices, documenting data flows in order to limit privacy backlashes and minimizing risk related to ever-increasing data uses while solving for data quality—the most accurate label would probably be "privacy engineer.” She is used... Read More.

10:10 Wednesday, 24 May 2017
You may have heard that a piece of legislation called the GDPR is looming. Aurélie Pols draws a broad philosophical picture of the data ecosystem we are all a part of before honing into the right to data portability, hopefully empowering you to reclaim your data subject rights. Full Details
Miriam Redi

Miriam Redi
Research Scientist, Social Dynamics, Bell Labs Cambridge, UK

Miriam Redi is a research scientist on the Social Dynamics team at Bell Labs Cambridge, where her research focuses on content-based social multimedia understanding and culture analytics. In particular, Miriam explores ways to automatically assess visual aesthetics, sentiment, and creativity... Read More.

9:30 Wednesday, 24 May 2017
Miriam Redi explores the invisible side of visual data, investigating how machine learning can detect subjective properties of images and videos, such as beauty, creativity, sentiment, style, and more curious characteristics. Miriam shows how these detectors can be applied in the context of web media search, advertising, and social media. Full Details
Tom Reilly

Tom Reilly
CEO, Cloudera

Tom Reilly is the CEO of Cloudera. Tom has had a distinguished 30-year career in the enterprise software market. Previously, Tom was vice president and general manager of enterprise security at HP; CEO of enterprise security company ArcSight,... Read More.

9:05 Wednesday, 24 May 2017
The cloud is disrupting every segment of our industry. If you don’t have a strategy for it, then you’re missing what might be your best new market opportunity. Tom Reilly and Charles Zedlewski talk about how machine learning and real-time data in the cloud are powering a new wave of possibilities. Full Details
Tom Smith

Tom Smith
Managing Director, Data Science Campus, Office of National Statistics

Tom Smith is the managing director of the data science campus at the Office of National Statistics.

9:35 Thursday, 25 May 2017
Mike Olson and Tom Smith explain how the Office of National Statistics (ONS), the UK's largest independent producer of official statistics, is leveraging data science to create repeatable, accurate, and transferable statistical research while decreasing time in developing models with better visibility and results. Full Details
M. C. Srivas

M. C. Srivas
Chief Data Architect, Uber

As chief data architect at Uber, M. C. Srivas worries about all data issues from trips, riders and partners, and pricing to analytics, self-driving cars, security, and data-center planning. Previously, M. C. was CTO and founder of MapR Technologies,... Read More.

10:25 Wednesday, 24 May 2017
M. C. Srivas covers the technologies underpinning the big data architecture at Uber and explores some of the real-time problems Uber needs to solve to make ride sharing as smooth and ubiquitous as running water, explaining how they are related to real-time big data analytics. Full Details
Darren  Strange

Darren Strange
Big Data Go-to-Market Lead, Cloud Platform, Google

Darren Strange is the big data go-to-market lead for the Google Cloud Platform. Darren has worked in business development on the public cloud since its earliest days, spanning both Google Cloud Platform and competitive platforms, and has helped hundreds of... Read More.

9:45 Wednesday, 24 May 2017
Data analytics and machine learning are the drivers of the fourth industrial revolution. As technologists, we stand on the brink of incredible opportunity. Darren Strange explores the tremendous opportunity we have before us and asks, will we be pioneers creating new possibilities or will we hold on to the past? Full Details
Charles Zedlewski

Charles Zedlewski
VP, Product, Cloudera

Charles Zedlewski is vice president of product at Cloudera. Previously, Charles held various management roles in product strategy, management, and operations at SAP, where he led the development of a half a dozen new and follow-on releases for products... Read More.

9:05 Wednesday, 24 May 2017
The cloud is disrupting every segment of our industry. If you don’t have a strategy for it, then you’re missing what might be your best new market opportunity. Tom Reilly and Charles Zedlewski talk about how machine learning and real-time data in the cloud are powering a new wave of possibilities. Full Details