Data Council | New York City 2018

Adam Kelleher

Chief Data Scientist for Research

Barclays Investment Bank

Brian Femiano

Senior Data Engineer

Pandora

Sean Glover

Senior Software Engineer, Fast Data Team

Lightbend, Inc

Marlene Guraieb

Senior Data Scientist

Oscar

Sameer Yami

Head of Architecture & AI

Linc Global

Hossein Azari

Co-founder

Clarity Money

Joy Tang

CEO & Founder

Markable AI

Brian Bloniarz

Director of Data Science

Second Measure

Sam Swift

Head of Data & AI

Bowery Farming

Andreas Markmann

Data Engineering Manager

Capital One

Thomas La Piana

Data Engineer

GitLab

Aditya Jami

CTO

Meltwater

Stephanie Yang

Data Scientist & Technical Lead

Foursquare

Alp Kucukelbir

Chief Scientist

Fero Labs

Justin Coffey

Engineering Director

Criteo Labs

Phil Roth

Data Scientist

Endgame

Rigel Swavely

Senior Machine Learning Engineer

Clarifai

Gideon Mendels

Co-founder & CEO

Comet.ml

Nicolas Joseph

VP of Engineering & CISO

Datalogue

William Nelson

Principal Data Scientist

Intent Media Inc

Tony Jebara

Director of Machine Learning

Netflix

Allison King

Software Engineer

Cortico

Baron Schwartz

Founder & CTO

VividCortex

Jeff Smith

Engineering Manager

Facebook AI Research

Saurabh Bajaj

Software Engineer

Lyft

Carolyn Huangci

Associate Data Scientist

BuzzFeed

Ryan Williams

Software Engineer

Icahn School of Medicine at Mount Sinai

Jean-Mathieu Saponaro

Data Engineer & Internal Analytics Team Lead

Datadog

Maryam Jahanshahi

Research Scientist

TapRecruit

Till Bergmann

Data Scientist

Salesforce

Ethan Rosenthal

Machine Learning Engineer

Dia&Co

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.

Alberto Betella

For the past two decades Alberto has been working in and speaking about tech, innovation and science. He has an extensive technical and scientific background, which he leverages to solve real-world business problems. He is the Chief Technology Officer at Alpha Health, a moonshot backed by Telefonica with the goal of improving life for billions of people. Alpha was created to address some of the biggest problems in society by delivering radical solutions and breakthrough technology. Prior to that, he worked as CTO at Badi, a startup where he crafted the tech and the team that built it from the ground up. During his time at Badi, he scaled up from 0 to 1+ million users and he directly contributed to secure $45M VC funding in Europe and US. Alberto holds a PhD in Information and Communication Technologies with a specialization in Affective Computing and Empathic Systems.

Robert Winslow

Robert is a seasoned software consultant with a decade of experience shipping great products. He thrives in early-stage startup environments, and works primarily in Go, Python, and Rust. He has led back-end development at companies like RankScience and Spot.com; created a rigorous, open-source time-series benchmarking suite for InfluxData; and rapidly prototyped software in a skunkworks-type product lab. He’s taught graduate statistics at GalvanizeU and mentored at the Stanford d.school. He helps maintain Google’s FlatBuffers project, one of the world’s fastest serialization libraries. A colleague once described him as “the developer equivalent of ‘The Wolf’ from Pulp Fiction."

Day 1
Nov 8

Data Engineering
- 8:00 - 9:00AM: Registration and Breakfast
- 9:00 - 9:15AM: Welcome, announcements & track host intros
- 9:15 - 9:55AM: Keynote #1: Scalability is Quantifiable: The Universal Scalability Law - Baron Schwartz (Vivid Cortex)
- 10:00 - 10:40AM: Extract - Tiered Transform - Load (ETTL): A pipeline for a modular, scalable, and observable Internal Analytics platform - Jean-Mathieu Saponaro (Datadog)
  Office Hours: Keynote #1: Baron Schwartz (Vivid Cortex)
- 10:45 - 11:25AM: Marquez: A Metadata Service for Data Abstraction, Data Lineage, and Event-based Triggers - Willy Lulciuc (WeWork)
  Office Hours: Jean-Mathieu Saponaro, Datadog
- 11:30 - 12:10PM: Oops I did it Again -- Adapting a Pop Music Identifier to Find Syndicated Content in Talk Radio - Allison King (Cortico)
  Office Hours: Willy Lulciuc - WeWork
- 12:15 - 1:15PM: Lunch
- 1:15 - 1:55PM: Building a Modern Machine Learning Platform on Kubernetes - Saurabh Bajaj (Lyft)
  Office Hours: Allison King - Cortico
- 2:00 - 2:40PM: Automating Modeling Pipelines - William Nelson (Intent Media)
  Office Hours: Saurabh Bajaj - Lyft
- 2:45 - 3:15PM: Coffee Break
- 3:15 - 3:55PM: Presto: Fast SQL-on-Anything - Kamil Bajda-Pawlikowski (Starburst Data)
  Office Hours: William Nelson - Intent Media
- 4:00 - 4:45PM: Fast Data apps with Alpakka Kafka connector and Akka Streams - Sean Glover (Lightbend)
  Office Hours: Kamil Bajda-Pawlikowski - Starburst Data
- 5:00 - 7:00PM: CONF PARTY
Data Science & Analytics
- 8:00 - 9:00AM: Registration and Breakfast
- 9:00 - 9:15AM: Welcome, announcements & track host intros
- 9:15 - 9:55AM: Keynote #1: Scalability is Quantifiable: The Universal Scalability Law - Baron Schwartz (Vivid Cortex)
- 10:00 - 10:40AM: Active Learning: Why Smart Labeling is the Future of Data Annotation - Jennifer Prendki (Figure-Eight)
  Office Hours: Baron Schwartz - Vivid Cortex
- 10:45 - 11:25AM: Scaling Personalization via Machine-Learned Assortment Optimization - Ethan Rosenthal (Dia&Co)
  Office Hours: Jennifer Prendki - Figure-Eight
- 11:30 - 12:10PM: The Customer as The Unit of Analysis: Models, Metrics and a Multitude of Uses - Brian Bloniarz (Second Measure)
  Office Hours: Ethan Rosenthal - Dia&Co
- 12:15 - 1:15PM: Lunch
- 1:15 - 1:55PM: An Update on Scikit-learn - Andreas Mueller (Columbia University)
  Office Hours: Brian Bloniarz - Second Measure
- 2:00 - 2:40PM: Using Embeddings to Understand the Evolution of Data Science Skill Sets - Maryam Jahanshahi (Tap Recruit)
  Office Hours: Andreas Mueller - Columbia University
- 2:45 - 3:15PM: Coffee Break
- 3:15 - 3:55PM: Building Data Tools that Work - Benn Stancil (Mode Analytics)
  Office Hours: Maryam Jahanshahi - Tap Recruit
- 4:00 - 4:45PM: Content Based Recommendations: Using Word Embeddings to Automate Related Content Generation at BuzzFeed - Carolyn Huangci (Buzzfeed)
  Office Hours: Benn Stancil - Mode Analytics
- 5:00 - 7:00PM: CONF PARTY
AI Products
- 8:00 - 9:00AM: Registration and Breakfast
- 9:00 - 9:15AM: Welcome, announcements & track host intros
- 9:15 - 9:55AM: Keynote #1: Scalability is Quantifiable: The Universal Scalability Law - Baron Schwartz (Vivid Cortex)
- 10:00 - 10:40AM: Building a Research Platform using AI - Aditya Jami (Meltwater)
  Office Hours: Keynote #1: Baron Schwartz - Vivid Cortex
- 10:45 - 11:25AM: AI Challenges in Customer Care Automation - Sameer Yami (Linc Global)
  Office Hours: Aditya Jami - Meltwater
- 11:30 - 12:10PM: PyTorch 1.0 - The Platform for Accelerating AI Research to Production - Jeff Smith (Facebook AI Research)
  Office Hours: Sameer Yami - Linc Global
- 12:15 - 1:15PM: Lunch
- 1:15 - 1:55PM: Running effective Machine Learning teams: common issues, challenges and solutions. - Gideon Mendels (Comet.ml)
  Office Hours: Jeff Smith - Facebook
- 2:00 - 2:40PM: Optimizing Time to Data through Streams and Data Abstraction - Nicolas Joseph (Datalogue)
  Office Hours: Gideon Mendels - Comet.ml
- 2:45 - 3:15PM: Coffee Break
- 3:15 - 3:55PM: Computer Vision AI to Disrupt Digital Advertising - Joy Tang (Markable AI)
  Office Hours: Nicolas Joseph - Datalogue
- 4:00 - 4:45PM: Technical Founders Panel (Falcon, Azari, Kucukelbir & Soderling)
  Office Hours: Joy Tang - Markable AI
- 5:00 - 7:00PM: CONF PARTY

Day 2
Nov 9

Data Engineering
- 8:00 - 9:00AM: Registration and Breakfast
- 9:00 - 9:15AM: Welcome, announcements & track host intros
- 9:15 - 9:55AM: Keynote #2: Artwork Personalization at Netflix - Tony Jebara (Netflix)
- 10:00 - 10:40AM: Data Pipeline Frameworks: The Dream and the Reality - Mark Weiss (Beeswax)
  Office Hours: Tony Jebara - Netflix
- 10:45 - 11:25AM: Analyzing Data in the Cloud: Is True Privacy and Security Possible? - Raghu Murthy (Datacoral)
  Office Hours: Mark Weiss - Beeswax
- 11:30 - 12:10PM: Fixing the Big Data Development Cycle with SQL - Justin Coffey (Criteo Labs)
  Office Hours: Raghu Murthy - Datacoral
- 12:15 - 1:15PM: Lunch
- 1:15 - 1:55PM: Stream Processing Design Patterns - Andreas Markmann (Capital One)
  Office Hours: Justin Coffey - Criteo Labs
- 2:00 - 2:40PM: Evolving Stitch Fix's Data Platform for Data Lineage - Neelesh Salian (Stitch Fix)
  Office Hours: Andreas Markmann - Capital One
- 2:45 - 3:15PM: Coffee Break
- 3:15 - 3:55PM: Building a Music Analytics Pipeline at Pandora - Brian Femiano (Pandora)
  Office Hours: Neelesh Salian - Stitch Fix
- 4:00 - 4:55PM: Closing Keynote: The Literate Programmer: Cargo Cult Open Source - Wes Chow (MIT Media Lab)
  Office Hours: Brian Femiano - Pandora
- 5:00: Conf End
Data Science & Analytics
- 8:00 - 9:00AM: Registration and Breakfast
- 9:00 - 9:15AM: Welcome, announcements & track host intros
- 9:15 - 9:55AM: Keynote #2: Artwork Personalization at Netflix - Tony Jebara (Netflix)
- 10:00 - 10:40AM: Causal Data Science - Adam Kelleher (Barclays Investment Bank)
  Office Hours: Tony Jebara - Netflix
- 10:45 - 11:25AM: Hindsight Bias: How to Deal with Label Leakage at Scale - Till Bergmann (Salesforce)
  Office Hours: Adam Kelleher - Barclays Investment Bank
- 11:30 - 12:10PM: The Difficulty in Choosing Prior in Potentially Explosive Models (Vector Autoregressions, Discrete Choice Models, RNNs) - James Savage (Lendable)
  Office Hours: Till Bergmann - Salesforce
- 12:15 - 1:15PM: Lunch
- 1:15 - 1:55PM: The Unreasonable Deceptiveness of Bad Data - Rigel Swavely (Clarifai)
  Office Hours: James Savage - Lendable
- 2:00 - 2:40PM: Three Tips for Better Predictive Modeling - Stephanie Yang (Foursquare)
  Office Hours: Rigel Swaveley - Clarifai
- 2:45 - 3:15PM: Coffee Break
- 3:15 - 3:55PM: Predictive Modeling On Its Head: A Pipeline That Finds Cancer, Asthma and Hemophilia - Marlene Guraieb (Oscar)
  Office Hours: Stephanie Yang - Foursquare
- 4:00 - 4:55PM: Closing Keynote: The Literate Programmer: Cargo Cult Open Source - Wes Chow (MIT Media Lab)
  Office Hours: Marlene Guraieb - Oscar
- 5:00: Conf End
Hero Engineering
- 8:00 - 9:00AM: Registration and Breakfast
- 9:00 - 9:15AM: Welcome, announcements & track host intros
- 9:15 - 9:55AM: Keynote #2: Artwork Personalization at Netflix - Tony Jebara (Netflix)
- 10:00 - 10:40AM: The Software Architecture of WayUp's Job Recommender System - Harlan Harris (WayUp)
  Office Hours: Tony Jebara - Netflix
- 10:45 - 11:25AM: AI farming: 100x the yield with a data team of 1 - Sam Swift (Bowery Farming)
  Office Hours: Harlan Harris - WayUp
- 11:30 - 12:10PM: Scale Processes, Not People: How Data Teams Do More With Less By Adopting Software Engineering Best Practices - Thomas La Piana (GitLab)
  Office Hours: Sam Swift - Bowery Farming
- 12:15 - 1:15PM: Lunch
- 1:15 - 1:55PM: The Highs and Lows of Building an Adtech Data Pipeline - Dan Goldin (TripleLift)
  Office Hours: Thomas La Piana - GitLab
- 2:00 - 2:40PM: Accelerating Single-cell Bioinformatics with N-dimensional Arrays in the Cloud - Ryan Williams (Mt. Sinai)
  Office Hours: Dan Goldin - TripleLift
- 2:45 - 3:15PM: Coffee Break
- 3:15 - 3:55PM: Engineering Lessons Learned by Data Scientists in Growing MalwareScore from Kaggle Competition to Trusted Antivirus Solution - Phil Roth (Endgame)
  Office Hours: Ryan Williams - Mt. Sinai
- 4:00 - 4:55PM: Closing Keynote: The Literate Programmer: Cargo Cult Open Source - Wes Chow (MIT Media Lab)
  Office Hours: Phil Roth - Endgame
- 5:00: Conf End

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2 days & 40+ insightful talks by leading data scientists, engineers and machine intelligence researchers from top organizations like Facebook, Criteo, Yara, Spotify, Google, WeWork, Uber, Stitch Fix, Datadog, Segment and many more.
Multiple unique tracks to be announce 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 our 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 startup founders from top tech, media, and banking companies around Barcelona & Europe.
Connect with our great partner companies at Sponsor Spotlight to discover their available data jobs, open-source projects and latest product developments.
Inspiring keynotes and practical, information-rich sessions, tutorials, and speakers office hours exploring the latest advances, case studies, and best practices.
Fun evening event and more, giving you more face time with attendees and speakers.

	Data Council	QCon.ai	O'Reilly Strata	Gartner® Data
Super Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc.	€479	€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.	$799
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?

We want you to feel good about buying a ticket for Data Council so that's why we offer a full refund up until 45 days prior to the event. (After that we offer to transfer your ticket to a colleague or a future Data Council event). Additionally we unfortunately cannot retroactively apply any special rates, coupons or discounts once the ticket has been purchased.

We truly believe in authentic and deeply technical community events and we want you to enjoy them as much as we do. We want you to learn, grow, build, engage, launch, laugh and maybe cry (depending on what kind of repositories you follow on GitHub) but most of all we want you to feel good about attending Data Council.

We are good at detecting bullshit, but in case we missed it, just let us know at community@datacouncil.ai and we will make it right!