turituri formerly dato, graphlab, now aquired by apple web banners product icons event marquee...

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Turi formerly Dato, GraphLab, now aquired by Apple Web banners Product icons Event marquee displayed at Data Science Summit Web page design and coding Typical of a startup everyone does a bit of everything and I loved it. 80% of my time was spent working on rebranding efforts as the company went through two name changes. Originally from Carnegie Mellon, started by Professor Carlos Guestrin a pioneer in machine learning, GraphLab was a tool designed for none data scientists to explore data and ultimately bring those models to production. The other distributed 20% was spent more in the review of UI and providing a design checkpoint for the Director of Engineering, Tim Muss. R A N I B E W Day 1 Grand Ballroom Gold Room Venetian Room 7:00 AM Meet and Greet and Expo Opening with Coffee & Donuts 9:00 AM Opening Notes 9:10 AM Keynote Pradeep Dubey | Director of Parallel Computing Lab - Intel Labs 9:40 AM Keynote Carlos Guestrin | CEO - Dato Inc., Amazon Professor of Machine Learning - UW 10:40 AM Morning Break & Expo Advances in ML Research Data Science Use Cases Advances in Industry 11:00 - 11:40 AM DeepDive: A Dark Data System Professor Chris Ré | Stanford 11:00 AM Making Data Accessible with SQL-on- Everything Tomer Shiran | Co-Founder & CEO - Dremio: Apache Drill 11:00 AM Opportunities and challenges in manufacturing analytics Dr. Soundar | Sr. Manager Engineering - Bosch 11:40 AM Petuum+ for Big ML: what is next after the parameter server? Professor Eric Xing | Carnegie Mellon University 11:25 AM Introducing the Trusted Analytics Platform Intel TAP Kyle Ambert | Intel 11:25 AM The Big Learning Challenge Xiatian Zhang | Chief Data Scientist - TalkingData 12:05 PM The Myria Big Data Management System and Cloud Service Professor Magdalena Balazinska | UW 11:50 AM - 12:30 PM CoCoA: A Communication-Efficient Primal-Dual Framework for Distributed Optimization Professor Mike Jordan | UC Berkeleyva 11:50 AM Detecting Changes in IOT Data Streams without Prior Knowledge Dr. Amitai Armon | Chief Data Scientist - Intel Advanced Analytics 12:15 PM A Learning System Connected to a Crowd-Sourced Network of Mobile Sensors for HD Positioning Bruno Fernandez-Ruiz | Co-founder & CTO - Nexar 12:30 PM Lunch break, Exhibits Academic Innovations in Data Science - Coursera Track 1 Practical Data Science Systems for Data Engineering 1:30 PM Machine Learning for Analyzing Complex Time Series Professor Emily Fox | UW 1:30 PM Evolution of the SFrame: Scalable Data Structure for ML Sethu Raman | VP Engineering - Turi 1:30 PM Advances in Recommender Systems Danny Bickson | Founder - Turi 1:55 PM Increasing Diversity in Data Science Professor Jennifer Rose | Wesleyan 1:55 PM Tools for exploring, explaining, and evaluating your recommender system Dr. Chris DuBois | Data Scientist - Turi 1:55 PM Hops Secure Hadoop Professor Jim Dowling | SICS 2:20 PM Data Science, Data Curation, and Human-Data Interaction Professor Bill Howe | UW 2:20 PM Good datasets, quickly: Integrating external teams into your dataset creation & cleaning Emanuel Ott | Customer Success Technologist - iMerit 2:20 PM Advancing the Python Data Stack with Apache Arrow Wes McKinney | Software Engineer - Cloudera 2:45 PM Afternoon Break Academic Innovations in Data Science - Coursera Track 2 Practical Data Science Hands-on Tutorial 3:05 PM Recommender Systems: Leveraging Data for Personalized Marketing Professor Joseph Konstan | University of Minnesota 3:05 PM Using Graphs for Improving Recommendations Amit Bhattacharyya | Sr. Data Scientist - Teachers Pay Teachers 3:05 - 4:35 PM Customer Intelligence: Drive more intelligent customer engagements with lead scoring and churn prediction Srikrishna Sridhar & Brian Kent | Data Scientist - Turi 3:30 PM “Why Should I Trust You?”: Explaining the Predictions of Any Classifier Professor Carlos Guestrin | University of Washington 3:30 PM Lessons learned from 2MM machine learning models Dr. Anthony Goldbloom | Co-founder/CEO - Kaggle 3:55 - 4:35 PM MOOCs Turn 4: What Have We Learned? Professor Daphne Koller | President/Co- Founder - Coursera 3:55 PM Design for X Amanda Casari | Sr. Data Scientist - Concur 4:20 PM DSSTNE: A new Deep Learning Framework For Large Sparse Datasets Scott Le Grand | Senior Scientist - Teza Technologies 4:35 PM Short Break Startup Session 1 Startup Session 2 Startup Session 3 4:50 PM Avoiding the “Never-Ending Research” Trap Kyle Napierkowski | Principle - Machina Consulting 4:50 PM Developing customer insights @ Microsoft Visual Studio Sai Tulasi Neppali | Program Manager - Microsoft 4:50 PM Four Lessons Learned from Advanced Data Science Organizations Nick Elprin | CEO & Co-founder - Domino Data Labs 5:00 PM Giving Birth to Data Science at BabyCenter Shelley Klop | Director of Data Architecture - BabyCenter 5:00 PM Datadraw Professor Amit Wolf | Southern California Institute of Architecture 5:00 PM License Compliance analysis using GraphLab Vaidy Venkatesan | Sr. Manager, Business Engagement - Data Services Symantec 5:10 PM Why did you recommend that? Delip Rao | Founder - Joostware 5:10 PM Deep Learning and Machine Learning: A view from the trenches Supratim Banerjee | Managing Director - India Equity Partners 5:10 PM Meal Recommendation with Dato Ashu Dubey | Founder & CTO - 12 Labs Inc. 5:20 PM Accelerating SFrames using 3D XPoint™ Memory Technology Srinivas Vamsi Parasa | Manager - Intel 5:20 PM The Data Science Behind Bot Blocking William Cox | Data Scientist - Distil Networks 5:20 PM Using Data Science to change the world Andy Veluswami | Director of Analytics & Data Science - Change.org 5:30 PM AUC: at what cost(s)? Alex Korbonits | Data Scientist - Remitly 5:30 PM 7 Myths to Debunk About Data Science + Marketing Mike Driscoll | Founder, CEO - Metamarkets 5:30 PM Next generation image processing Dr. Łukasz Kidziński | Co-Founder - Deepart 5:40 PM Overview of PFA, a language for analytic model deployment Garret Long | VP Marketing - Open Data Group 5:40 PM Learning a Moving Business: Machine Learning in Dynamically Changing Tasks Yoni Acriche | Head of Data Science - SalesPredict 5:40 PM Machine learning based personalized messaging Ohad Shperling | Co-Founder & CEO - Personalics 5:50 PM Earth Observation and Big Data Analytics Catherine Burton | Founder - Southland Spatial 5:50 PM The Building of a SalesBot Alice Wang | Data Scientist - Showpad 5:50 PM Predictive Analytics for Enterprise Sales Management and Forecast Lei Tang | Chief Data Scientist - Clari Inc. 6:00 PM Happy Hour in the Expo Hall 6:00 PM Happy Hour in the Expo Hall 2016 Summit Data Science Create Intelligence TM

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Page 1: TuriTuri formerly Dato, GraphLab, now aquired by Apple Web banners Product icons Event marquee displayed at Data Science Summit Web page design and coding Typical of a startup everyone

Turiformerly Dato, GraphLab, now aquired by Apple

Web banners

Product icons

Event marquee displayed at Data Science Summit

Web page design and coding

Typical of a startup everyone does a bit of everything and I loved it. 80% of my time was spent working on rebranding efforts as the company went through two name changes. Originally from Carnegie Mellon, started by Professor Carlos Guestrin a pioneer in machine learning, GraphLab was a tool designed for none data scientists to explore data and ultimately bring those models to production.

The other distributed 20% was spent more in the review of UI and providing a design checkpoint for the Director of Engineering, Tim Muss.

RANIBEW

Day 1

Grand Ballroom Gold Room Venetian Room

7:00 AM Meet and Greet and Expo Opening with Coffee & Donuts

9:00 AM Opening Notes

9:10 AM Keynote

Pradeep Dubey | Director of Parallel Computing Lab - Intel Labs

9:40 AM Keynote

Carlos Guestrin | CEO - Dato Inc., Amazon Professor of Machine Learning - UW

10:40 AM Morning Break & Expo

Advances in ML Research Data Science Use Cases Advances in Industry

11:00 - 11:40 AM

DeepDive: A Dark Data System

Professor Chris Ré | Stanford

11:00 AM Making Data Accessible with SQL-on-Everything

Tomer Shiran | Co-Founder & CEO - Dremio: Apache Drill

11:00 AM Opportunities and challenges in manufacturing analytics

Dr. Soundar | Sr. Manager Engineering - Bosch

11:40 AM Petuum+ for Big ML: what is next after the parameter server?

Professor Eric Xing | Carnegie Mellon University

11:25 AM Introducing the Trusted Analytics Platform

Intel TAPKyle Ambert | Intel

11:25 AM The Big Learning Challenge

Xiatian Zhang | Chief Data Scientist - TalkingData

12:05 PM The Myria Big Data Management System and Cloud Service

Professor Magdalena Balazinska | UW

11:50 AM - 12:30 PM

CoCoA: A Communication-Efficient Primal-Dual Framework for Distributed Optimization

Professor Mike Jordan | UC Berkeleyva

11:50 AM Detecting Changes in IOT Data Streams without Prior Knowledge

Dr. Amitai Armon | Chief Data Scientist - Intel Advanced Analytics

12:15 PM A Learning System Connected to a Crowd-Sourced Network of Mobile Sensors for HD Positioning

Bruno Fernandez-Ruiz | Co-founder & CTO - Nexar

12:30 PM Lunch break, Exhibits

Academic Innovations in Data Science - Coursera Track 1

Practical Data Science Systems for Data Engineering

1:30 PM Machine Learning for Analyzing Complex Time Series

Professor Emily Fox | UW

1:30 PM Evolution of the SFrame: Scalable Data Structure for ML

Sethu Raman | VP Engineering - Turi

1:30 PM Advances in Recommender Systems

Danny Bickson | Founder - Turi

1:55 PM Increasing Diversity in Data Science

Professor Jennifer Rose | Wesleyan

1:55 PM Tools for exploring, explaining, and evaluating your recommender system

Dr. Chris DuBois | Data Scientist - Turi

1:55 PM Hops Secure Hadoop

Professor Jim Dowling | SICS

2:20 PM Data Science, Data Curation, and Human-Data Interaction

Professor Bill Howe | UW

2:20 PM Good datasets, quickly: Integrating external teams into your dataset creation & cleaning

Emanuel Ott | Customer Success Technologist - iMerit

2:20 PM Advancing the Python Data Stack with Apache Arrow

Wes McKinney | Software Engineer - Cloudera

2:45 PM Afternoon Break

Academic Innovations in Data Science - Coursera Track 2

Practical Data Science Hands-on Tutorial

3:05 PM Recommender Systems: Leveraging Data for Personalized Marketing

Professor Joseph Konstan | University of Minnesota

3:05 PM Using Graphs for Improving Recommendations

Amit Bhattacharyya | Sr. Data Scientist - Teachers Pay Teachers

3:05 - 4:35 PM

Customer Intelligence: Drive more intelligent customer engagements with lead scoring and churn prediction

Srikrishna Sridhar & Brian Kent | Data Scientist - Turi

3:30 PM “Why Should I Trust You?”: Explaining the Predictions of Any Classifier

Professor Carlos Guestrin | University of Washington

3:30 PM Lessons learned from 2MM machine learning models

Dr. Anthony Goldbloom | Co-founder/CEO - Kaggle

3:55 - 4:35 PM

MOOCs Turn 4: What Have We Learned?

Professor Daphne Koller | President/Co-Founder - Coursera

3:55 PM Design for X

Amanda Casari | Sr. Data Scientist - Concur

4:20 PM DSSTNE: A new Deep Learning Framework For Large Sparse Datasets

Scott Le Grand | Senior Scientist - Teza Technologies

4:35 PM Short Break

Startup Session 1 Startup Session 2 Startup Session 3

4:50 PM Avoiding the “Never-Ending Research” Trap

Kyle Napierkowski | Principle - Machina Consulting

4:50 PM Developing customer insights @ Microsoft Visual Studio

Sai Tulasi Neppali | Program Manager - Microsoft

4:50 PM Four Lessons Learned from Advanced Data Science Organizations

Nick Elprin | CEO & Co-founder - Domino Data Labs

5:00 PM Giving Birth to Data Science at BabyCenter

Shelley Klop | Director of Data Architecture - BabyCenter

5:00 PM Datadraw

Professor Amit Wolf | Southern California Institute of Architecture

5:00 PM License Compliance analysis using GraphLab

Vaidy Venkatesan | Sr. Manager, Business Engagement - Data Services Symantec

5:10 PM Why did you recommend that?

Delip Rao | Founder - Joostware

5:10 PM Deep Learning and Machine Learning: A view from the trenches

Supratim Banerjee | Managing Director - India Equity Partners

5:10 PM Meal Recommendation with Dato

Ashu Dubey | Founder & CTO - 12 Labs Inc.

5:20 PM Accelerating SFrames using 3D XPoint™ Memory Technology

Srinivas Vamsi Parasa | Manager - Intel

5:20 PM The Data Science Behind Bot Blocking

William Cox | Data Scientist - Distil Networks

5:20 PM Using Data Science to change the world

Andy Veluswami | Director of Analytics & Data Science - Change.org

5:30 PM AUC: at what cost(s)?

Alex Korbonits | Data Scientist - Remitly

5:30 PM 7 Myths to Debunk About Data Science + Marketing

Mike Driscoll | Founder, CEO - Metamarkets

5:30 PM Next generation image processing

Dr. Łukasz Kidziński | Co-Founder - Deepart

5:40 PM Overview of PFA, a language for analytic model deployment

Garret Long | VP Marketing - Open Data Group

5:40 PM Learning a Moving Business: Machine Learning in Dynamically Changing Tasks

Yoni Acriche | Head of Data Science - SalesPredict

5:40 PM Machine learning based personalized messaging

Ohad Shperling | Co-Founder & CEO - Personalics

5:50 PM Earth Observation and Big Data Analytics

Catherine Burton | Founder - Southland Spatial

5:50 PM The Building of a SalesBot

Alice Wang | Data Scientist - Showpad

5:50 PM Predictive Analytics for Enterprise Sales Management and Forecast

Lei Tang | Chief Data Scientist - Clari Inc.6:00 PM Happy Hour in the Expo Hall

6:00 PM Happy Hour in the Expo Hall

2016Summit

DataScience

Create IntelligenceTM