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Day One
Day Two

Wednesday, March 9


8:00 AM

Registration and Breakfast

9:00 AM

Opening Remarks

Hosts:
Derrick Harris, Head of Content, Structure Events
Clare Ryan, CEO, Structure Events
Tom Krazit, Executive Editor, Structure Events
Emcee:
Juliette Powell, Founder, Turing AI

9:05 AM

How smart analytics turn tweets into dollars

Social media is considered a valuable source of data for everything from consumer sentiment to stock market performance—if you can make sense of it. In this talk, Chris Moody will explain how Twitter is helping smart companies make the most of from its mountain of tweets.
Speaker:
Chris Moody, VP Data Strategy, Twitter
Moderated By:
Aarti Shahani, Technology Reporter, NPR

9:25 AM

At industrial scale, data is only the beginning

GE is putting sensors everywhere for itself and its customers, but the industrial internet is about more than just sensors. GE's Bill Ruh will discuss the importance of understanding and acting on data when lots of money, or lives, are on the line.
Speaker:
William Ruh, CEO, GE Digital and CDO, GE, General Electric
Moderated By:
Steve Lohr, Technology Reporter, The New York Times

9:45 AM

Building the data framework for tomorrow's apps

Big data technologies such as Hadoop helped catapult big data into the mainstream, but newer tools are making big data much more powerful. Hear two of the people behind Apache Spark and Apache Kafka discuss the state of data-driven applications and the future of data infrastructure.
Speakers:
Neha Narkhede, Co-Founder and CTO, Confluent
Ion Stoica, CEO, Databricks
Moderated By:
Andrew Brust, Senior Director, Market Strategy and Intelligence, Datameer, Big Data Columnist, ZDNet

10:05 AM

The future of data is bigger than you think

Hortonworks was the first Hadoop company to go public, hopefully paving the way for a robust big data market to follow. CEO Rob Bearden will explain how both the technology and business of Hadoop are evolving.
Speaker:
Rob Bearden, CEO, Hortonworks
Moderated By:
Derrick Harris, Head of Content, Structure Events

10:25 AM

Memory centric virtual distributed storage

Hear how Alluxio, which emerged from the same university lab as Spark, is trying to change the game in storage with an memory-centric file system that can run nearly anywhere.
Speaker:
Haoyuan Li, CEO, Alluxio

10:30 AM

Morning Break

10:45 AM

HP Workshop: Digital Transformation - Evolving Role of Technology - Main Stage

A lot happens in an Internet minute. Digital is driving new business designs that blur the lines between the digital and physical world and changes the role of technology. Neeraj Tolmare shares the story of how digital trends influence HP's strategy with an in depth look at its sales and commerce transformation.
Speaker:
Neeraj Tolmare, VP, Head of Digital Transformation & IT Applications, HP

10:45 AM

Cloudera Workshop: Apache Hadoop Meets Cybersecurity - Room 1

Organizations are looking for better ways to protect themselves while traditional cybersecurity applications struggle to deliver on their promises. During this session, we will explore how the fight against cyber crimes has become a big data challenge leading to the emergence of next generation Apache Hadoop based cybersecurity applications.
Speaker:
TJ Laher, Solutions Marketing, Cloudera

11:30 AM

Doing unicorn-scale data science

Slack and Pinterest operate in different spaces, but both have millions (or more) of happy users. In this talk, data scientists from both companies will discuss how data helps keep their companies growing and their users smiling.
Speakers:
Josh Wills, Director of Data Engineering, Slack
June Andrews, Data Scientist, Pinterest
Moderated By:
Tom Krazit, Executive Editor, Structure Events

11:50 AM

Fueling the deep learning rocket with huge data

Deep learning has remade the image of AI in the past couple years, thanks to more data, more computing power and better algorithms. In this talk, deep learning pioneer and Baidu chief scientist Andrew Ng will explain how this trio is leading to smarter computers.
Speaker:
Andrew Ng, Chief Scientist, Baidu
Moderated By:
Derrick Harris, Head of Content, Structure Events

12:10 PM

How to build your own Semantic Search Engine

Hear how Mattermark, a startup providing data on privately held companies, is making its search engine smarter with deep learning.
Speaker:
Samiur Rahman, Senior Machine Learning Engineer, Mattermark

12:15 PM

How Airbnb’s Data Science Team Doubled The Ratio Of Female Employees Last Year

Speaker:
Elena Grewal, Data Science Manager, Airbnb
Moderated By:
Megan Dickey, Reporter, TechCrunch

12:30 PM

Shifting the center of gravity in tech innovation

As companies reshape their research divisions to be more product-centric, many new commercial technologies are emerging from specialized university labs. Hear from two research experts how the corporate and academic worlds are coming together to create the next big things.
Speakers:
Michael Franklin, Director, AMPLab, UC Berkeley
Raghu Ramakrishnan, Technical Fellow and Head, Big Data Engineering and Cloud Information Services Lab (CISL), Microsoft
Moderated By:
Andrew Brust, Senior Director, Market Strategy and Intelligence, Datameer, Big Data Columnist, ZDNet

12:45 PM

How Netflix keeps up with big data demands

With 75 million members generating an astonishing ton of data on viewing habits, streaming video performance, and trends in media consumption, Netflix has an enormous amount of data on hand to analyze. How does it do it? Find out in this session with Netflix's director of big data platforms.
Speaker:
Eva Tse, Director of Big Data Platform, Netflix
Moderated By:
David Linthicum, SVP, Cloud Technology Partners

1:00 PM

Lunch Break Sponsored By ClearStory Data

1:15 PM

WSO2 Workshop: Sensing the world with Data of Things - Room 1

Internet of Things is everywhere and in everything we do. Collecting data, edge analytics, handling uncertainty, out of order event processing, scalable tracking and monitoring devices pose many challenges. This discussion explores how IoT data can be used to understand the world around us, while proactively identifying opportunities and threats.
Speaker:
Sriskandarajah Suhothayan, Technical Lead, WSO2

1:15 PM

Brainspace Workshop: Collective Intelligence: How Machine Learning, Human Curation and UX will Transform the Enterprise - Room 2

A demonstration of Brainspace's core technology and discussion of how to practically leverage machine learning and human curation to intelligently connect people and ideas in the enterprise.
Speakers:
Dave Copps, CEO, Brainspace
Jacob Morse, VP, Marketing & Strategy, Brainspace

2:00 PM

Personalizing the News Feed: A Large-Scale Recommendation Problem

Personalization is a key component in ensuring user satisfaction, and at Yahoo, personalization is at the heart of several user-facing products. This talk will focus on how Yahoo built one of the largest news recommendation engines in the world: the Yahoo stream, which personalizes the news feed for several hundreds of millions of users on millions of content items. Beyond the scale, the success of the news feed also depends on whether it is able to engage the user long term. In this session, Yahoo's director of research will present the challenges and issues in designing an engaging stream, and attendees will also learn how to cope with sparsity of explicit feedback, how user behavior changes with context of the device, how to build machine learned models for each user, and the metric that allows Yahoo to optimize for long term user-engagement.
Speaker:
Suju Rajan, Director of Research, Yahoo
Moderated By:
Signe Brewster, Writer, Freelance

2:15 PM

Pattern Analysis: Why Small is the New Big

Making sense out of the mass of data collected, identifying, organizing and explaining causalities of the things we see and experience every day and taking action requires discovery of small patterns not big trends.
Speaker:
Oren Falkowitz, CEO, Area 1 Security

2:20 PM

Is data remaking the music business?

After all, "you don't need a weatherman to know which way the wind blows," you need a data scientist. Pandora and Gracenote have been at the forefront of digital music streaming and have some unique insghts into how that data has changed the music business.
Speakers:
Chris Martin, CTO, Pandora
Ty Roberts, Co-Founder and Chief Strategy Officer, Gracenote
Moderated By:
Janko Roettgers, Senior Silicon Valley Correspondent, Variety

2:40 PM

How Orlando Magic uses data to improve their game

Data isn't just changing the way sports are played, it's also changing the way teams make money inside the arena. Hear how the Orlando Magic is using analytics to improve the fan experience and its bottom line.
Speakers:
Alex Martins, CEO, Orlando Magic
John Paul, CEO and Founder, VenueNext
Moderated By:
Tom Krazit, Executive Editor, Structure Events

3:00 PM

Quantifying crops: The future of farming

Farmer's Alamanac 2.0? Planting, harvesting, and farming in general are plunging headlong into the big data era, and advances in data analytics could make farming in the 21st century more productive.
Speaker:
Mark Young, CTO, The Climate Corporation
Moderated By:
Steve Lohr, Technology Reporter, The New York Times

3:15 PM

One massive database, all the world at your fingertips

GDELT is a massive database of news events spanning decades, and Kalev Leetaru is the person behind it. In this talk, he'll explain how lots of data plus the power of cloud computing can help us predict future events by analyzing the past.
Speaker:
Kalev Leetaru, Founder, GDELT Project

3:30 PM

Afternoon Break

3:45 PM

Hortonworks Workshop: Beginning the Journey to Actionable Intelligence - Main Stage

Hortonworks supports hundreds of organizations on their journey to manage data in motion and data at rest with connected data platforms. Those journeys transform businesses with actionable intelligence delivered through modern data applications. But how does one begin? This session describes the repeatable paths taken by 100s of Hortonworks customers.
Speaker:
Justin Sears, Director, Industry Marketing, Hortonworks

3:45 PM

Battery Ventures Workshop: Open Source: Show Me the Money - Room 1

Open-source software is a brilliant delivery model to drive user adoption. But is it possible to actually make money from free software? During this panel, leaders from big-data and open-source companies will discuss how they’ve successfully monetized an open-source model—while simultaneously building robust open-source communities.
Speakers:
Billy Bosworth, CEO, DataStax
Jason Forget, Chief Revenue Officer and GM, Redis Labs
Aaron Katz, SVP of Worldwide Field Operations, Elastic
Girish Pancha, CEO, StreamSets
Moderated By:
Max Schireson, Executive in Residence, Battery Ventures

4:30 PM

Making the most of language on the world's largest social network

People post a lot of text on Facebook, and every message is a chance to build a smarter platform. Learn how Facebook's AI team uses this data to learn about users while helping them communicate.
Speaker:
Alan Packer, Director of Engineering, Language Tech, Facebook
Moderated By:
Stacey Higginbotham, Editor, The IoT Podcast

4:50 PM

How machine learning helps Uber keep the disruptions coming

Uber is one of the transformative companies of the iPhone era, overturning the status quo in urban transportation and changing the very nature of employment. Learn how it uses machine learning to help it prepare for a future that will probably include self-driving cars and logistics operations.
Speaker:
Jeff Schneider, Engineering Lead, Uber ATC
Moderated By:
Aarti Shahani, Technology Reporter, NPR

5:10 PM

If you don't know data, you don't know the Internet of Things

As more devices come online, each one is a potential treasure trove of data for delivering a better user experience. Jerome Dubreuil will explain how it's helping developers make the most of that data with its SAMI platform.
Speaker:
Jerome Dubreuil, Senior Director, Samsung Strategy and Innovation Center
Moderated By:
Stacey Higginbotham, Editor, The IoT Podcast

5:30 PM

Closing Day One

Emcee:
Juliette Powell, Founder, Turing AI

5:35 PM

Networking Reception Sponsored By SoftLayer

Thursday, March 10


8:00 AM

Registration and Breakfast

9:05 AM

Opening Day Two

Emcee:
Juliette Powell, Founder, Turing AI

9:10 AM

Way past Jeopardy: How Watson is tackling industry after industry

IBM is making a big bet that its Watson AI system can revolutionize industries from retail to medicine. Hear how Big Blue is ramping up Watson's capabilities to make this happen.
Speakers:
Rob High, IBM Fellow, VP, CTO Watson, IBM
Moderated By:
Signe Brewster, Writer, Freelance

9:30 AM

Taking data science from Market Street to Main Street

The real power of data analysis won't be realized until all users and industries have access to tools that help them do it. Dan Wagner and Chris Neumann will discuss how software products can truly democratize data.
Speakers:
Dan Wagner, Founder and CEO, Civis Analytics
Chris Neumann, Founder, DataHero
Moderated By:
Tom Krazit, Executive Editor, Structure Events

9:45 AM

Redefining analytics for the 21st century business

Monthly, weekly and even daily reports will no longer cut it in many businesses. Learn about the future of analytics from two entrepreneurs selling systems for real time at massive scale.
Speakers:
Ann Johnson, CEO and Co-Founder, Interana
Mike Driscoll, CEO, Metamarkets
Moderated By:
Derrick Harris, Head of Content, Structure Events

10:05 AM

Taking AI from the lab to millions of consumers

Most people know Microsoft for its consumer software, but the tech world also knows of the company's venerable research division. Hear how Microsoft is fast-tracking its AI advances onto our devices.
Speakers:
Peter Lee, Corporate VP, Microsoft Research, Microsoft
Moderated By:
Jack Clark, Reporter, Bloomberg

10:25 AM

Helping people at scale

Can 10 people change the lives of 10 million? Learn how Bayes Impact is using data science to solve critical issues in criminal justice, unemployment, and health around the world.
Speakers:
Eric Liu, Founder, Bayes Impact

10:30 AM

Morning Break

10:45 AM

Dataguise Workshop: Monitoring Real Threats to Sensitive Data in Real Time - Main Stage

Most companies don’t know they’ve had a data breach until months after the damage has been done. With a plethora of security technologies in place, enterprises must sift through mounds of data about their data before understanding where real threats exist. Hear about a new solution from Dataguise that offers an early warning system focused on an organization’s most sensitive data that will revolutionize the way potential breaches are identified and addressed.
Speakers:
Manmeet Singh, CEO, Dataguise

10:45 AM

Pivotal Workshop: Data science at scale on MPP databases - use cases & tools - Room 1

Learn how data scientists at Pivotal build machine learning models at massive scale on open source MPP databases like Greenplum and HAWQ (under Apache incubation) using in-database machine learning libraries like MADlib (under Apache incubation) and procedural languages like PL/Python and PL/R to take full advantage of the rich set of libraries in the open source community. This workshop will walk you through use cases in text analytics and image processing on MPP.
Speakers:
Esther Vasiete, Data Scientist, Pivotal Software

11:30 AM

Why is it such a nightmare to access data in healthcare?

It's a challenge to retrieve data in any industry but perhaps nowhere is harder than healthcare. Christina Farr dives into this problem with an expert panel and gives insight into this lucrative and challenging business.
Speakers:
Jeremy Howard, Founder and CEO, Enlitic
Jonathan Hirsch, Founder and President, Syapse
Chris Hogg, COO, Propeller Health
Julie Black, CTO, Evidation Health
Moderated By:
Christina Farr, Senior Writer, Fast Company

11:55 AM

Security Analytics, Startups and Investing

When all the world's a target for cybercrime, it's a ripe market for startups trying to solve the problem. Hear from the experts how to separate promising technologies from wishful thinking.
Speakers:
Steve Bowsher, Managing General Partner, In-Q-Tel
Matt Howard, Managing Partner, Norwest Venture Partners
Dharmesh Thakker, General Partner, Battery Ventures
Moderated By:
Tom Krazit, Executive Editor, Structure Events

12:15 PM

Convergence: What's Next With Big Data

Open source software is all the rage, but monetizing it can be a difficult task. MapR CEO John Schroeder will explain how his company balances OSS with enterprise features in order to keep the business growing.
Speakers:
John Schroeder, CEO and Co-Founder, MapR Technologies
Moderated By:
Derrick Harris, Head of Content, Structure Events

12:30 PM

Can we really secure our data, and do we need to?

If there's a magic bullet for data security, it has yet to be found. Hear Intel security expert Steve Grobman discuss what we really need to be worried about and how we can help protect ourselves and our businesses.
Speakers:
Steve Grobman, CTO and Intel Fellow, Intel Security
Moderated By:
Stacey Higginbotham, Editor, The IoT Podcast

12:45 PM

Melding man and machine to spot fraud

Fraud is a serious problem for companies that process millions of financial a day. Learn how PayPal uses human expertise and machine learning to help spot bad actors and limit the damage they can do.
Speakers:
Hui Wang, Senior Director, Global Risk Sciences, PayPal
Moderated By:
Juliette Powell, Founder, Turing AI

1:00 PM

Lunch Break Sponsored By ClearStory Data

2:00 PM

How artificial intelligence can automate our lives

Ashutosh Saxena has spent the past few years teaching robots to learn while a professor at Stanford and Cornell, and how he's taking his expertise into the home. He'll explain how AI can make the smart home a reality.
Speakers:
Ashutosh Saxena, Founder and CEO, Brain of Things

2:20 PM

What it takes: How to move data in the industrial internet

Real-time? Just-in-time? As companies connect devices to the internet, they are faced not only with a potential influx of data, but also questions about what they need and when they need it. From hooking up stadiums to ports and everything in between SAP has helped customers figure out what's important, what's not and how to build a strategy that works for your connected business.
Speakers:
Quentin Clark, Chief Business Officer, SAP
Moderated By:
Stacey Higginbotham, Editor, The IoT Podcast

2:35 PM

Analyzing data at 250 miles per hour

When you're racing in the elite Formula 1 series, you don't just worry about falling behind on the track, you also have to worry about falling behind the latest technology. Learn how McLaren uses data to build some of the fastest machines on the planet.
Speakers:
Geoff McGrath, CIO, McLaren Applied Technologies

2:55 PM

The data scientist will see you now

Hear how Enlitic is trying to give doctors a leg up on diagnosing tough diseases, by using deep-learning-based computer vision to analyze medical images and catch what the human eye cannot.
Speakers:
Jeremy Howard, Founder and CEO, Enlitic

3:00 PM

AI Needs a Dose of Humanity

We've built an array of algorithms to understand and backward engineer people through a trail of data. But what we often overlook is capturing the original, fundamental thought processes, intuition, and emotions that make us human. To make AI more effective and accessible to everyone, we need to inject a little humanity into our training and models. Here's how.
Speakers:
Heather Zhuang, Investor, Two Sigma Ventures
Moderated By:
Stacey Higginbotham, Editor, The IoT Podcast

3:15 PM

Are we finally entering the big money stage for big data?

Big data has been the talk of the town for years, and now the pressure is on for the companies selling it to deliver. Hear about Cloudera's strategy for keeping customers and investors happy as expectations rise.
Speakers:
Tom Reilly, CEO, Cloudera
Moderated By:
Derrick Harris, Head of Content, Structure Events

3:35 PM

How algorithms are saving lives and cleaning up the web

The web has brought us many benefits, but has also made it simpler for illicit trades such as human trafficking and drug dealing to thrive. These experts will explain how they're using algorithms to fight crime and shine light on the dark web.
Speakers:
Sugreev Chawla, Data Scientist, Thorn
Moderated By:
Aarti Shahani, Technology Reporter, NPR

3:55 PM

Using Data Science for Social Good

With major advances in big data, governments, companies and citizen groups are reaping the benefits of data-focused initiatives, but we have yet to see the same adoption in non-profits. Last year, UNICEF and Bloomberg announced a Researcher-in-Residence program aiming to use data science to help solve childhood welfare issues and close the information gap on global children’s programs (ie: through real-time monitoring of crisis situations, dispersion of vital medical equipment and tracking children’s school attendance).
Speakers:
Gideon Mann, Head of Data Science and CTO Office, Bloomberg
Moderated By:
Derrick Harris, Head of Content, Structure Events

4:15 PM

Building Google: From search engine to AI poster child

Google has evolved over the years from a search engine to a tech giant pushing the limits in fields such as AI. Jeff Dean, who has helped build Google's biggest and most well-known systems, will discuss the challenges of keeping up with Google's ambitious plans.
Speakers:
Jeff Dean, Senior Fellow, Google
Moderated By:
Tom Simonite, San Francisco Bureau Chief, MIT Technology Review

4:35 PM

Closing Remarks

Speakers:
Clare Ryan, CEO, Structure Events
Derrick Harris, Head of Content, Structure Events
Tom Krazit, Executive Editor, Structure Events

4:40 PM

Networking Reception