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

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.

10:05am Wednesday, September 27, 2017
Advanced data analytics is reshaping the enterprise with new discoveries, better customer experiences, and improved products and services, all enabled by actionable insight. Ziya Ma shares how Intel is driving a holistic approach to powering advanced analytics and artificial intelligence workloads and unleashing intelligent and scalable insights from the edge to the cloud to the enterprise. Full Details
danah boyd

danah boyd
Principal Researcher | Founder, Microsoft Research | Data & Society

danah boyd is the founder and president of Data & Society, a research institute focused on understanding the role of data-driven technologies in society, a principal researcher at Microsoft Research, and a visiting professor in NYU’s Interactive Telecommunications Program. danah’s... Read More.

10:20am Thursday, September 28, 2017
The more that we rely on data to train our models and inform our systems, the more that this data becomes a target for those seeking to manipulate algorithmic systems and undermine trust in data. danah boyd explores how systems are being gamed, how data is vulnerable, and what we need to do to build technical antibodies. Full Details
Joanna Bryson

Joanna Bryson
Professor | Affiliate, University of Bath | Princeton Center for Information Technology Policy

Joanna J. Bryson is a transdisciplinary researcher on the structure and dynamics of human- and animal-like intelligence. Her research covers topics ranging from artificial intelligence through autonomy and robot ethics to human cooperation and has appeared in venues ranging... Read More.

9:35am Thursday, September 28, 2017
AI has been with us for hundreds of years; there's no "singularity" step change. Joanna Bryson explains that the main threat of AI is not that it will do anything to us but what we are already doing to each other with it—predicting and manipulating our own and others' behavior. 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.

8:50am Thursday, September 28, 2017
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
8:50am Wednesday, September 27, 2017
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.

8:50am Thursday, September 28, 2017
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
8:50am Wednesday, September 27, 2017
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Full Details
Cesar Delgado

Cesar Delgado
Siri Platform Architect, Apple

Cesar Delgado is the Siri platform architect at Apple. He has also worked on iTunes, iCloud, News, and Maps. Previously, Cesar worked at various startups around Silicon Valley. He has been involved in the Apache Hadoop community since 2008.

9:00am Wednesday, September 27, 2017
Twenty years ago, a company implored us to “think different” about personal computers. Today, Apple continues to live and breathe that legacy. It’s evident in the machine learning and analytics architectures that power many of the company's most innovative applications. Cesar Delgado joins Mike Olson to discuss how Apple is using its big data stack and expertise to solve non-data problems. Full Details
Anil Gadre

Anil Gadre
EVP of Product Management, MapR

Anil Gadre is the executive vice president of product management at MapR. Previously, Anil was the executive vice president of product management at Silver Spring Networks, where he was responsible for product strategy, planning, and marketing of networking and software... Read More.

9:20am Wednesday, September 27, 2017
Businesses struggle to build applications that harness all their data. RDBMS cannot handle modern data-intensive workloads, and NoSQL doesn't provide the capabilities for diverse applications. Anil Gadre explains how customers using a converged data platform are succeeding at creating breakthrough new apps for the enterprise.  Full Details
Manuel García-Herranz

Manuel García-Herranz
Chief Scientist, UNICEF Office of Innovation

Manuel García-Herranz is the chief scientist at UNICEF’s Office of Innovation, where he focuses on bridging the gap between data science and the most vulnerable, exploring how to apply big data, complex systems theory, and AI to help the most... Read More.

10:10am Wednesday, September 27, 2017
The growing availability of data—along with advances in fields such as data science and artificial intelligence—has profoundly changed businesses. Manuel García-Herranz explains how to leverage these advances for the most vulnerable, while making sure that the existing data divide does not increase the gap in inequality, and integrate these advances into the humanitarian and development systems. Full Details
Christine Hung

Christine Hung
Head of Data Solutions, Spotify

Christine Hung leads the data solutions team at Spotify, which collaborates with business groups across the company to build scalable analytics solutions and provide strategic business insights. Previously, Christine ran the data science and engineering team at the New York... Read More.

9:50am Wednesday, September 27, 2017
Have you ever wondered why Spotify just seems to know what you want? As a data-first company, Spotify is investing heavily in its analytics and machine learning capabilities to understand and predict user needs. Christine Hung shares how Spotify uses data and algorithms to improve user experience and drive business impact. Full Details
Chad W.  Jennings

Chad W. Jennings
Product Manager for BigQuery, Google

Chad W. Jennings is a product manager for BigQuery at Google Cloud. Chad came to Google from the startup world. He is an avid skier and surfer. When he’s not working on big things or playing in nature, he’s at... Read More.

9:05am Thursday, September 28, 2017
Chad W. Jennings walks you through a serverless big data architecture on Google Cloud that helps unravel the mysteries of human emotion. Full Details
Terry Kline

Terry Kline
Senior Vice President and Chief Information Officer, Navistar

Terry Kline is senior vice president and chief information officer at Navistar, where he is responsible for all information and technology requirements globally, leading Navistar’s connected vehicle strategy, including OnCommand Connection (OCC) and over-the-air programming, and growing adoption of... Read More.

9:25am Thursday, September 28, 2017
Data is powering the largest trucks on America’s interstates, the buses that take our children to school, and the military vehicles that help protect our country. Terry Kline and Mike Olson look at how machine learning and predictive analytics keep more than 300,000+ connected vehicles rolling. Full Details
Sam Lavigne

Sam Lavigne
Editor, The New Inquiry

Sam Lavigne is an editor at the New Inquiry and an instructor at NYU and the New School. An artist, programmer, and teacher, Sam has exhibited his work—which deals with data, cops, surveillance, natural language processing, and automation—at Rhizome,... Read More.

9:15am Wednesday, September 27, 2017
Sam Lavigne offers an overview of White Collar Crime Risk Zones, a predictive policing application that uses industry-standard predictive policing methodologies to predict financial crime at the city-block level with an accuracy of 90.12%. Unlike typical predictive policing apps, which criminalize poverty, White Collar Crime Risk Zones criminalizes wealth. Full Details
Ben Lorica

Ben Lorica
Chief Data Scientist, O'Reilly Media

Ben Lorica is the chief data scientist at O’Reilly Media. 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... Read More.

9:30am Wednesday, September 27, 2017
Ben Lorica explores the age of machine learning. Full Details
8:50am Thursday, September 28, 2017
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the second day of keynotes. Full Details
8:50am Wednesday, September 27, 2017
Program chairs Ben Lorica, Doug Cutting, and Alistair Croll welcome you to the first day of keynotes. Full Details
Jim McHugh

Jim McHugh
Vice President and General Manager, NVIDIA

Jim McHugh is vice president and general manager at NVIDIA. He currently leads DGX-1, the world’s first AI supercomputer in a box. Jim focuses on building a vision of organizational success and executing strategies to deliver computing solutions... Read More.

9:20am Thursday, September 28, 2017
AI is transforming industry and society. Accelerated computing, deep learning platforms, and intelligent machines supercharge digital transformation to harness the power of AI. This session will feature examples of AI-accelerated businesses and dive into specific approaches enterprises are taking to adopting AI and accelerated analytics. Full Details
Raghunath Nambiar

Raghunath Nambiar
CTO for Cisco UCS, Cisco

Raghunath Nambiar is the chief technology officer of Cisco’s Unified Computing System (UCS) business. He helps define strategies for next generation architectures, systems, and datacenter solutions, as well as leads a team of engineers and product leaders focused... Read More.

10:15am Thursday, September 28, 2017
Endless possibilities when we connect the unconnected. Raghunath Nambiar discusses the magnitude of new challenges and new opportunities across industry segments. Full Details
Cathy O'Neil

Cathy O'Neil
Author, Weapons of Math Destruction

Cathy O’Neil a data scientist for the startup media company Intent Media. Cathy began her career as a postdoc in MIT’s Math Department. She has been a professor at Barnard College, where she published a number of research papers... Read More.

10:20am Wednesday, September 27, 2017
Cathy O'Neil exposes the mathematical models that are shaping our future, both as individuals and as a society. These “weapons of math destruction” score teachers and students, sort résumés, grant (or deny) loans, evaluate workers, target voters, set parole, and monitor our health. 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.

10:35am Thursday, September 28, 2017
Robots are going to take our jobs, they say. Tim O'Reilly says, "Only if that's what we ask them to do!" Tim has had his fill of technological determinism. He explains why technology is the solution to human problems and why we won't run out of work till we run out of problems. 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.

9:25am Thursday, September 28, 2017
Data is powering the largest trucks on America’s interstates, the buses that take our children to school, and the military vehicles that help protect our country. Terry Kline and Mike Olson look at how machine learning and predictive analytics keep more than 300,000+ connected vehicles rolling. Full Details
9:00am Wednesday, September 27, 2017
Twenty years ago, a company implored us to “think different” about personal computers. Today, Apple continues to live and breathe that legacy. It’s evident in the machine learning and analytics architectures that power many of the company's most innovative applications. Cesar Delgado joins Mike Olson to discuss how Apple is using its big data stack and expertise to solve non-data problems. Full Details

Nikita Shamgunov
CTO, MemSQL

Nikita Shamgunov is CTO at MemSQL. Preivously, Nikita was a senior database engineer for Microsoft’s SQL Server. He has been awarded several patents and was a world medalist in ACM programming contests. Nikita holds a BS, MS,... Read More.

9:45am Wednesday, September 27, 2017
Nikita Shamgunov discusses the future of databases for fast-learning adaptable applications. Full Details
Tanvi Singh

Tanvi Singh
Chief Analytics Officer, CCRO, Credit Suisse

Tanvi Singh is the Chief Analytics Officer, CCRO, at Credit Suisse. She leads a team of 60+ data scientists, data analysts, SME and Investigators globally in Zurich, New York, London, and Singapore. The team is delivering multimillion dollar... Read More.

9:10am Thursday, September 28, 2017
Tanvi Singh explores whether long-standing non-internet-based companies possess the evidence-driven culture and platforms required to derive benefit from big data tools and impact their line of business. Full Details
Joseph Sirosh

Joseph Sirosh
CVP, Information Management and Machine Learning group, Microsoft

Joseph Sirosh is the corporate vice president of the Cloud AI Platform at Microsoft, where he leads the company’s enterprise AI strategy and products such as Azure Machine Learning, Azure Cognitive Services, Azure Search, and Bot Framework. Prior to this... Read More.

9:50am Thursday, September 28, 2017
Join Microsoft’s Joseph Sirosh for a surprising conversation about a volunteer’s dilemma, an engineer’s ingenuity, and how AI, the cloud, data, and devices came together to help save snow leopards. Full Details
Jer Thorp

Jer Thorp
Data Artist, New York University

New York-based artist and educator Jer Thorp is an adjunct professor in New York University’s ITP program and a member of the World Economic Forum’s Network on AI, IoT, and the Future of Trust. Previously, Jer ran the Office... Read More.

9:35am Wednesday, September 27, 2017
Keynote with Jer Thorp Full Details
Robin Thottungal

Robin Thottungal
Chief Data Scientist and Director of Analytics, US Environmental Protection Agency

Robin Thottungal is the EPA’s first chief data scientist, focused creating and implementing an agency-wide vision on analytics for effective data-driven decision making. Previously, at Deloitte Consulting, Robin provided clients with strategic advising on different aspect of creating a culture... Read More.

8:55am Thursday, September 28, 2017
Data science is key to addressing national challenges with greater agility. At the EPA, the prime challenge is to provide the best value to American citizens in an ever-changing world. Robin Thottungal explains how the EPA addresses this challenge through digital and analytical services. Full Details
Manuela Veloso

Manuela Veloso
Herbert A. Simon University Professor in the School of Computer Science , Carnegie Mellon University

Manuela M. Veloso is the Herbert A. Simon University Professor in the School of Computer Science at Carnegie Mellon University, where she is the head of the Machine Learning Department. Manuela’s research, undertaken with her students, focuses on artificial intelligence,... Read More.

10:00am Thursday, September 28, 2017
Manuela Veloso explores human-AI collaboration, particularly in terms of robots learning from human sources and robot explanation generation to respond to language-based requests about their autonomous experience. Manuela concludes with a further discussion of general human-AI interaction and the opportunities for transparency and trust building of AI systems. Full Details