By Lukas Biewald, June 9, 2015

Join Nate Silver, Monica Rogati, and Beth Noveck (and more) at the Rich Data Summit

Time and time again, we hear how data scientists spend most of their time doing what they least enjoy: cleaning and enriching data. In fact, they spend 80% of their time preparing data, but only 20% of it on the juicy stuff, like predictive analysis or pattern mining. The thing is, most conferences focus just on that 20%; we wanted a conference focused on the 80% instead.

The Rich Data Summit is the world’s first conference on wrangling, cleaning, blending and enriching data. It’s happening on October 14th in San Francisco and we’re hoping you can join us. We’re getting companies from everywhere in the data science ecosystem to come speak and run hands-on workshops and tutorials, and we’re gathering some of the biggest names in the field for keynote speeches. We’re practical people and we want this conference to give data scientists practical tools to make them more effective at their jobs.

We’ll have plenty of announcements in the coming months, but for now, I’m really pleased to present our first seven speakers for the event. They evidence how data science has affected nearly every field, from government and sports to media and enterprise. We noted the keynotes in the title, but here’s a bit more about our first seven speakers:


Nate Silver, Founder,

Nate started the blog, which helped to make statistical predictions mainstream, and was one of the first examples of a data journalist.  He is the author of The Signal and the Noise, which breaks down when predictions work and when they don’t.  We’re particularly excited to have him because of his excellent blog post, Rich Data Poor Data, which in many ways describes what this conference is about.  


Beth Simone Noveck, Founder & Professor, TheGovLab

Beth has served as the United States deputy chief technology officer and was tapped to run President Obama’s Open Government Initiative. She was named one of Foreign Policy’s Top 100 Global Thinkers in 2012, one of Fast Company’s 100 Most Creative People in Business, and founded NYU’s TheGovLab. She believes strongly in open data and open government.


Monica Rogati, VP of Data, Jawbone

Monica, once was a Senior Data Scientist at LinkedIn, now heads Jawbone‘s data team. She’s had experience with text mining, applied machine learning, and recommendation systems, and currently spends her time on UP, Jawbone’s Fitness Tracker. In fact, she was the first VP of Data at Jawbone ever, hired after acquisitions of MassiveHealth and Body Media. For a taste of Monica’s work, check out this quick 5 minute Ignite talk entitled Tiger Moms, Ninjas and Chips: Discovering Stories in the Data.


Anthony Goldbloom, Founder & CEO, Kaggle

Anthony is the founder and CEO of Kaggle, a site that runs competitions for data scientists. Kaggle’s contests have helped improve cancer research, mapping dark matter, gesture recognition for Microsoft Kinect, and hundreds of other use-cases. Current competitions include west nile virus prediction, search relevancy, diabetic retinopathy detection, and crime classification.



Shivon Zillis, VC, Bloomberg Beta

Shivon is a venture capitalist and one of the founders of Bloomeberg Beta, as well as a founding member of C100. She specializes in machine learning and her piece, The Current State of Machine Learning, is a tremendous primer on the state of the industry and a great introduction to the space. You can read more about her in the recent Ozy piece or contact her at @shivon on Twitter.


Joe Hellerstein, Co-Founder & CSO, Trifacta

Joe is a professor of Computer Science at UC Berkeley, as well as the Co-Founder and CSO of Trifacta. Parts of his research have been used in both open source and commercial database software, including for IBM, Oracle, and PostgreSQL. He’s a database expert, Fellow of the Association for Computing Machinery, and a recipient of the Alfred P. Sloan Fellowship.


Ben Lorica, Chief Data Scientist, O’Reilly Media, Inc.

Ben is the Chief Data Scientist at O’Reilly Media and the Director of Content Strategy for Strata + Hadoop World. He has leveraged business intelligence, data mining, machine learning, and statistical analysis in a variety of fields including direct marketing, text mining, and financial engineering. He writes extensively on O’Reilly’s Radar blog, and can be found on Twitter at @bigdata.


The conference will have two main tracks, one featuring speakers and panels with some of the brightest minds in data science, the other containing tutorials and workshops meant to introduce new tools and techniques to data scientists of all stripes. You’re of course free to pick and choose which speeches and workshops to attend and we’ll be announcing them when we’re a bit more solid on our schedule.

Early bird tickets are available now and, for news on the conference, you can follow @richdatasummit on Twitter. If you’d like to speak, moderate, sponsor, or get in touch with us about the summit for any reason, email

We’re hoping the Rich Data Summit gives data scientists the tools to more quickly and efficiently turn big data into rich data. We’d love it if you joined us.