Talks that keep you Awake!

Our talks are backed by our 100% No Bullshit Guarantee* and delivered by leading data scientists and engineers from top organizations like Facebook, Netflix, Lyft, Salesforce, Colombia University, WeWork, MIT & many more.

See All Speakers >

5 Unique Tracks

This year we are offering you new unique tracks, with a total of 5 tracks covering: Databases, Machine Learning, Workflows and Platforms, Streaming Systems, Future of Data Science, Core Data Science & Data Organizations & Ethics.

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Max - 500

Tired of mega-conferences where its hard to interact with people? We are too, so we aim to keep attendees under 500 for each of our events. Our attendees are also highly-skilled data scientists, engineers, analysts & engineering managers.

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Born to be Open Source

We believe in Open Source; code, content and mentality. We feature top open source contributors and tools at our talks. Afterwards, we publish all content (talks and slides) for the community, for free.

View Past Talks >

Meet People with Geekmatch

Want to meet make sure you meet awesome data people with your interests? Our new #GeekMatch service will introduce you to to a few likeminded attendees. Say goodbye to awkward introductions!

Get Started >

Networking that works

Experience our popular "Speakers Office Hours" format plus our favored Data Community Party. Through our intentional matching opportunities you'll meet data influencers who will positively impact your career.

Learn More >

Track Hosts

Wes Chow

Director of Engineering, Advanced Analytics

Cortico

James Savage

Manager, Data Science

Schmidt Futures

Nitya Narasimhan

Senior Program Manager, Developer Relations

Microsoft

Ian Nowland

Vice President Engineering - Metrics and Alerts

Datadog

Masha Danilenko

Engineering Lead

Insight Data Science

Marc Ferradou

Senior Director of Data Science

CNN

New York City Speakers

 

Willy Lulciuc

Data Engineer

WeWork

Jean-Mathieu Saponaro

Data Engineer & Internal Analytics Team Lead

Datadog

Maryam Jahanshahi

Research Scientist

TapRecruit

Mark Weiss

Senior Software Engineer

Beeswax

Andreas Mueller

Associate Research Scientist

Data Science Institute, Columbia University

Ethan Rosenthal

Machine Learning Engineer

Dia&Co

Till Bergmann

Data Scientist

Salesforce

Allison King

Software Engineer

Cortico

Tony Jebara

Director of Machine Learning

Netflix

Jeff Smith

Engineering Manager

Facebook AI Research

Baron Schwartz

Founder & CTO

VividCortex

Carolyn Huangci

Associate Data Scientist

BuzzFeed

Saurabh Bajaj

Software Engineer

Lyft

Ryan Williams

Software Engineer

Icahn School of Medicine at Mount Sinai

Vadim Semenov

Data Engineer

Datadog

Jerome Nilmeier

Data Scientist & Developer Advocate

IBM

Frank McSherry

Chief Scientist

Materialize

Harlan Harris

Director of Data Science

WayUp

William Nelson

Principal Data Scientist

Intent Media Inc

Benn Stancil

Chief Analytics Officer

Mode

Raghu Murthy

Founder & CEO

Datacoral

Andreas Markmann

Data Engineering Manager

Capital One

Thomas La Piana

Data Engineer

GitLab

Sam Swift

Head of Data & AI

Bowery Farming

Dan Goldin

VP Engineering

TripleLift

Brian Bloniarz

Director of Data Science

Second Measure

William Falcon

AI Researcher

Facebook / NYU

Hossein Azari

Co-founder

Clarity Money

Joy Tang

CEO & Founder

Markable AI

Gideon Mendels

Co-founder & CEO

Comet.ml

Nicolas Joseph

VP of Engineering & CISO

Datalogue

Phil Roth

Data Scientist

Endgame

Rigel Swavely

Senior Machine Learning Engineer

Clarifai

Alp Kucukelbir

Chief Scientist

Fero Labs

Justin Coffey

Engineering Director

Criteo Labs

Aditya Jami

CTO

Meltwater

Stephanie Yang

Data Scientist & Technical Lead

Foursquare

Marlene Guraieb

Senior Data Scientist

Oscar

Sameer Yami

Head of Architecture & AI

Linc Global

Brian Femiano

Senior Data Engineer

Pandora

Sean Glover

Senior Software Engineer, Fast Data Team

Lightbend, Inc

Adam Kelleher

Chief Data Scientist for Research

Barclays Investment Bank

Barr Moses

CEO & Co-founder

Monte Carlo

Abe Gong

Co-Founder & CEO

Superconductive

Sean Knapp

CEO and Founder

Ascend

Nick Rockwell

Chief Technology Officer

The New York Times

Zach Kulis

Director, Software Engineering, Conversational AI

Capital One

Margaret Mayer

MVP, Software Engineering for Messaging, Conversational AI and Innovation Platforms

Capital One

Ronny Luss

Research Staff Member

IBM Research AI

Herman Schaaf

Senior Software Engineer

Skyscanner

Amelia White

Lead Data Scientist

Dstillery

Lloyd Danzig

Chairman & Founder

ICED(AI)

Elias Bareinboim

Associate Professor

Columbia University

Maureen Teyssier

Director of Data Science and Data Engineering

Reonomy

Yev Meyer

Senior Data Scientist

Guru

Mark Etherington

CTO

Crux Informatics

Viktor Gamov

Developer Advocate

Confluent

Lucy Vasserman

Software Engineer

Jigsaw

Kai Rikhye

Senior Staff Data Engineer

Skillshare

Samantha Bail

Data Insights Engineer

John Maiden

Senior Data Scientist

Cherre

Susana Marquez

Manager, Data Scientist

Rockefeller Foundation

Hugo Bowne-Anderson

Data Scientist

DataCamp

Liwei Mao

Team Lead

Button

Shira Mitchell

Statistician

Civis Analytics

Riva-Melissa Tez

Sr Director, Strategic Technology Initiatives

Intel Corporation

Norma Padron

Senior Director, Research

American Hospitals Association

Gideon Mann

Head of Data Science

Bloomberg

Adi Polak

Senior Cloud Developer Advocate

Microsoft

Joe Ross

Principal Data Scientist

Splunk

Daniel van der Ende

Data Engineer

GoDataDriven

Tim van Cann

Data Engineer

GoDataDriven

Alex Kass

Engineering Manager, Observability Applications & Infra Analytics

DigitalOcean

Nathan VanBenschoten

Staff Software Engineer

Cockroach Labs

Mohammed Ridwanul

Product Manager

Dessa

George Talbot

Staff Software Engineer

Google

Joshua Loftus

Assistant Professor

NYU

Seth Wiesman

Solutions Architect

Ververica

Juliana Freire

Professor of Computer Science and Engineering and Data Science

NYU

Committee Chair

Pete Soderling

Pete Soderling

Pete Soderling is currently the founder & CEO of Data Council. As a former software engineer, serial founder and investor in data-backed startups, his passion is in building valuable resources and community for data scientists, engineers, analysts and product managers. Previously Pete founded Hakka Labs (a social network for software engineers), Stratus Security (an early cloud-based enterprise API platform) and mechanikal (a software development consultancy in NYC). A graduate of New York University, Pete has served as a mentor for 500 Startups, has been a TEDx, O’Reilly Strata and QCon speaker and has worked with technical founders across the globe.

Committee Co-Chairs

Adam Kelleher

Adam Kelleher

Adam spent more than 4 years at Buzzfeed where he was a Principal Data Scientist. Adam holds a PhD in physics. He's now heading Barclays's research data science team, and teaching applied causal inference at Columbia's Data Science Institute where he is an Adjunct Assistant Professor.

Wes Chow

Wes Chow

Wes is Director of Engineering, Advanced Analytics at Cortico. He's also Technical Advisor at Chartbeat and a Visiting Researcher at the Laboratory for Social Machines at the MIT Media Lab.

Conference Tracks

Data Engineering and Beyond

Read more

This track focuses on classic and modern data engineering workflows, databases and more. Some talks also discuss pipelines and systems that are tailored to data science and machine learning tasks.
Our speakers will cover high-level architectures, best practices and detailed solutions for designing large scale pipelines and databases, reproducibility of ML experiments, automated deployment of ML models in production, algorithms for optimization of a new generation of databases and continuous data pipeline monitoring.

This track will appeal to hands-on data engineering practitioners who fluidly cross the boundary between development and operations.

Streaming Systems

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This track looks at infrastructure used to build real-time applications and the underlying data infrastructure that supports the movement of data to computation. Speakers will cover topics such as lessons learned from moving to a Kafka-based setup, using KSQL, implementing a custom streaming SQL engine, streaming metrics and the future of event-based applications.

This is a practical track for data engineers looking to design the backbone of a data intensive application architecture.

Future of Data Science

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This track is focused on the cutting edge of data science. Stretch your brain with talks on the speculative side of the spectrum that represent the new future of data science and machine learning. This track will also cover topics such as NLP and unsupervised deep learning as well as potential applications in predicting user behavior or building knowledge graphs.

The goal of this track is to share lessons from past attempts to use new technologies, to encourage the diffusion of technology from academic research into industry, and to provide inspirational examples of the creative application of research toward creating the technologies of our future. This track is for anyone looking for inspiration to innovate in product development by applying new research, and is interested in listening to an occasional academic-level research talk.

Core Data Science

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The goal of this track is to share best practices about everyday data science from top practitioners. It features talks that cover common challenges facing data science teams and ICs – while reminding us of the tremendous power of data, analytics and ML applied in a business context. Come and learn from each other's hard lessons and avoid common pitfalls.

This track is for the everyday data scientist, or engineers wanting to learn more about what data science is all about. Talks will obviously get into technical detail, but will also be of interest to product managers wanting to understand how to do more to integrate data science into their product development process.

Data Organizations & Ethics

Read more

This track will cover various topics related to building data organizations as well as the ethical implications of the work we do as data professionals (understanding bias, privacy implications, etc.). Some companies are just getting started with data, some have a more mature data team and process, and some simply have too much data and too small of a team to manage it! On top of it all, many are unaware (or perhaps unconcerned?) about the ethical implications of their work.

As our data teams continue to push the technical boundaries of what is possible, the ethical implications of massive data repositories combined with advanced data mining techniques, machine learning algos, and deep learning in general are raising important considerations in the area of data ethics. Ethical issues often raise discussions regarding organizational and cultural challenges as well.

This track will be applicable to you if you are an engineering or data manager who wants to build a stronger organizational culture around data, and if you are concerned about policy and ethical considerations surrounding the use of data and AI in your organization.

Conference Schedule

Day 1
Nov 12

Day 2
Nov 13

Max 500: We are not a “mega-conference”

We aim to keep attendees lower than 500 attendees for any Data Council event or conference. We've been there too, and we know the reason you attend conferences is not to be sold to or lose yourself in a massive sea of attendees.

Aiming for less than 500 attendees ensures that you have a fair chance to engage with speakers 1:1 on your favorite track during Speaker Office Hours. It's worth noting that this is not a watered-down "mega-conference," but an intentional community-powered conference for engineers & scientists, by engineers & scientists, like yourself!

Generally, our conferences attract between 300-500 people depending on the season, location, and speakers.

Speaker Office Hours: Meet your crowd

Most speakers hold "office hours" after their talk, which are a great opportunity to take the discussion further in a smaller setting. 

Unlike Q&A where you are usually limited to asking one question, you will be able to have an in-depth back-and-forth discussion with the speaker and like-minded attendees - a great way to learn more and build long-term relationships.

Attendees often mention Speaker Office Hours as one of their favorite perks of attending our events.

Our Place In New York City

Columbia University Alfred Lerner HallOur big apple Data Council event is hosted annually at Columbia University in the City of New York. This ivy-league education facility is world-renowned for it's accomplished alumni, rich history and commitment to education and research. It is conveniently located close to down-town New York City and a short drive away from the Jersey side.

Get directions here: https://goo.gl/maps/1EoYuhXtRHcY3cEn9

Street Address: Alfred Lerner Hall, 2920 Broadway, New York, NY 10027, USA

 

 

Featured Talks in New York City

VIEW MORE TALKS

Pricing

 

  Super Early Bird
$699
Sold Out
Early Bird
$799
Sold Out
Regular Ticket
$949
Sold Out
Late Bird
$1099
Sold Out
Access to the Entire Event + All Tracks
Free Breakfast, Lunch, Snacks & Drinks
Access to Breakout Sessions

Access to Speaker Office Hours

Free Event After-Party

Early Access to Conference Recordings

No Bullshit Guarantee* (See below)

 
 

VIEW THE SCHEDULE

Apr 17, 2019 1548320400000

Welcome, announcements & track host intros (Pete Soderling)

-
Apr 17, 2019 1548321300000

Keynote 1

-
Apr 17, 2019 1548324000000

Talk 1

-
View Venue Location

FEATURE SLIDER

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What Our Attendees Say

Data Council was really great. The vibe and culture were exactly what I felt from following the RSS feeds, Twitter, watching YouTube, etc. for the last couple of years, and what attracted me to want to come to the event. I will be recommending it to friends! It was a real pleasure speaking.

Baron Schwartz

CTO & Founder
VividCortex

Baron Schwartz - CTO & Founder
Just wanted to reach out to thank you for the opportunity to speak at the conference. As a conference it was very informative and the talks inspired some of my software design approaches. I'm sharing my experiences with my team to help spread the knowledge.

Neelesh Salian

Senior Software Engineer
Stitch Fix

Neelesh Salian
Thanks for organizing Data Council. I really enjoyed the conference! I think you managed to build something with the right balance of tech and business content. Definitely one of the best conferences i attended this year. Not only that the talks were valuable but i enjoyed speaking to other participants. I found that many of them face similar challenges to the ones we deal with on a daily basis. Looking forward for the next one.

Gideon Mendels

Co-founder & CEO, Comet.ml

Gideon Mendels

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Data Council NYC 2019 Partners Include:

crux-transparent
DataDog
Qubole
Capital One
IBM
Ascend
The New York Times
Datafoam BW
Starburst
Mode Analytics
Cherre-New-BW
Watchful
Columbia-new-BW
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Partner With Us

New York City Highlights 2019

  • - 2 days & 45+ insightful talks by leading data scientists, engineers and machine intelligence researchers from top organizations like Facebook, Salesforce, IBM, Netflix, Google, WeWork, Lyft, Stitch Fix, Datadog, Segment, Datacoral, Columbia University and many more.

  • - Multiple unique tracks featuring stuff for all data geeks. More to come later.

  • - All-new content including our brand new Founders Panel of top startup founders in the AI space.

  • - Max 500 attendees, the best attendee:speaker ratio in the business.
  • - Extensive networking opportunities at the event, or connect with speakers & attendees at after-party between event days.

  • - Small group Speaker Office Hours following each talk with an opportunity to dive deeper into the subject matter 1:1 with the speaker.

  • - Enjoy meeting attendees that are highly-technical data scientists, engineers, analysts & technical founders from top tech, media, and finance companies around the NYC area.

  • - Connect with our great partner companies at Sponsor Spotlight to discover their available data jobs, open-source projects and latest product developments.

  • - Fun evening event, giving you more face time with attendees and speakers.

How Do We Stack Up Against The Other Guys?

  Data Council     QCon.ai    O'Reilly Strata Gartner® Data
Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. $699 $1,620 $1,645 $3,700
2 Full Days of EventsMinimum length of the conference or event.        
Food & Drinks IncludedIs some form of food, drinks or snacks provided.        
Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event.         
Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public.        
Speaker Office HoursDoes the conference or event offer Speakers Office Hours.        
Open Call for SpeakersAre the speaker submission, review & acceptance process open to or including the public.        
Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees.        
Free Community PartyIs there an event after-party offered (dinners not included)        
Offers a Refund PolicyYou can get your ticket refunded up to 45 days before the conference        
Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not). Nope      
Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price. Absolutely not      
Full of non-technical peopleDoes the conference or event publically invite non-technical data engineers or scientists. Definitely not      
  Data Council
Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. $699
2 Full Days of EventsMinimum length of the conference or event.  
Food & Drinks IncludedIs some form of food, drinks or snacks provided.  
Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event.  
Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public.  
Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product.  
Open Call for SpeakersAre the speaker submission process open to the public.  
Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees.  
Free Community PartyIs there an event after-party offered (dinners not included)  
Offers a Refund PolicyYou get your ticket refunded up to 45 days before the conference  
Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not). Nope
Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price. Hell no!
Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists. Definitely not!
  Qcon.ai
Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. $1,620
2 Full Days of EventsMinimum length of the conference or event.  
Food & Drinks IncludedIs some form of food, drinks or snacks provided.  
Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event.  
Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public.  
Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product.  
Open Call for SpeakersAre the speaker submission process open to the public.  
Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees.  
Free Community PartyIs there an event after-party offered (dinners not included)  
Offers a Refund PolicyYou get your ticket refunded up to 45 days before the conference  
Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not).  
Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price.  
Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists.  
  O'Reilly Strata
Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. $1,645
2 Full Days of EventsMinimum length of the conference or event.  
Food & Drinks IncludedIs some form of food, drinks or snacks provided.  
Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event.  
Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public.  
Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product.  
Open Call for SpeakersAre the speaker submission process open to the public.  
Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees.  
Free Community PartyIs there an event after-party offered (dinners not included)  
Offers a Refund PolicyYou get your ticket refunded up to 45 days before the conference  
Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not).  
Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price.  
Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists.  
  Gartner® Data
Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. $3,700
2 Full Days of EventsMinimum length of the conference or event.  
Food & Drinks IncludedIs some form of food, drinks or snacks provided.  
Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event.  
Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public.  
Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product.  
Open Call for SpeakersAre the speaker submission process open to the public.  
Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees.  
Free Community PartyIs there an event after-party offered (dinners not included)  
Offers a Refund PolicyYou can get your ticket refunded up to 45 days before the conference  
Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not).  
Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price.  
Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists.  

Competitive data collected is accurate from "qcon.ai", "conferences.oreilly.com/strata", "gartner.com/en/conferences/na/data-analytics-us", and "odsc.com/california" as of January 23, 2019. Data Council is not affiliated with any of the competitors listed. Notice an error in our data?

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BE A SPEAKER AT A DATA COUNCIL EVENT!

Want to present a talk at our next data science & engineering event? Barcelona, New York, San Francisco or Singapore, the choice is yours! Our event will include hundreds of attendees and many speakers from top data teams across different industries. To make each event better than the last, we're welcoming the community to contribute their talk ideas.

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BE A VOLUNTEER AT A DATA COUNCIL EVENT!

Want to volunteer at our next data science & engineering event? Barcelona, New York, San Francisco or Singapore, the choice is yours! Our event will include hundreds of attendees and +50 other speakers from top data teams at tech, healthcare, finance and media companies.

VOLUNTEER

Data Council, PO Box 2087, Wilson, WY 83014, USA - Phone: +1 (415) 800-4938 - EIN: 46-3540315 - Email: community (at) datacouncil.ai