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Data By the Bay

Data By the Bay is the first Data Grid conference matrix with 6 vertical application areas spanned by multiple horizontal data pipelines, platforms, and algorithms. We are unifying data science and data engineering, showing what really works to run businesses at scale.

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8:45am

Grand Welcome & Opening Remarks GardnerAlexy Khrabrov

8:55am

Host Sponsor Welcome: Nitro GardnerRoland Tritsch

9:05am

Keynote: Building a Real-time Streaming Platform Using Kafka Streams and Kafka Connect GardnerJay Kreps

9:50am

Time-series Feature Engineering Done Right GardnerParag Namjoshi

10:40am

Google BigQuery: a fully-managed data analytics service in the cloud GardnerMichael Entin

11:40am

Functional Programming for Machine Learning and Data Pipelines GardnerMalcolm Greaves

1:10pm

Netflix Keystone - Streaming Data Pipeline @Scale in the Cloud GardnerMonal Daxini

2:10pm

The Lego Model for Machine Learning GardnerVitaly Gordon

3:00pm

Speed up app development with prefabricated, extensible, open-source backends GardnerSlava Akhmechet

4:00pm

The Engineer's Guide to Streaming -- How you should really compare Storm, Flink, and Apex GardnerIlya Ganelin

5:00pm

Panel: Future of Data Services GardnerAlexy Khrabrov • Marius Eriksen • Joel Horwitz • Haoyuan Li • William Morgan • Neha Narkhede • Roman Shaposhnik

8:45am

Opening Remarks GardnerAlexy Khrabrov

8:55am

Host Sponsor Welcome: IBM Analytics GardnerJoel Horwitz

9:05am

Data and Algorithmic Bias in the Web GardnerRicardo Baeza-Yates

9:50am

The practice of acquiring good labels GardnerOmar Alonso

10:40am

Smarter Search with Spark, Solr and Machine Learning GardnerGrant Ingersoll

11:40am

Google Translate - how machines do it GardnerBarak Turovsky

1:10pm

Data & Metadata at the Internet Archive GardnerGreg Lindahl

2:10pm

Sparse data alternatives with neural network embeddings GardnerMarvin Bertin • David Ott • Mike Tamir

3:00pm

News Analytics in Finance GardnerGary Kazantsev

4:00pm

Airbnb and Marketplace Matching GardnerSurabhi Gupta

5:00pm

Panel: Human Intent and Text Understanding GardnerAlexy Khrabrov • Tihomir Bajić • Jenny Finkel • Surabhi Gupta • Robert Munro

8:45am

Opening Remarks GardnerAlexy Khrabrov

9:00am

Let's Build Civic Tech to Scale Democracy for a Better Future GardnerMatt Mahan

9:50am

Hot Legal Issues GardnerFrancoise Gilbert

10:40am

How Data Science is Evolving Technology Education GardnerRyan Orban

11:10am

Design for Local Government: Data, Services, and Transparency GardnerSteve Pepple

11:40am

Unsupervised NLP Classification with Clustering GardnerMatthew Seal

1:10pm

Open Collaboration for Civic Impact GardnerLawrence Grodeska

1:40pm

Litigation Mitigation: Using NLP to Minimize Errors in Contracts GardnerShipra Dingare • Gurinder Sangha

2:10pm

Why The Best Minds Of Our Generation Are Thinking About How To Get People to Click on Ads GardnerJosh Wills

3:00pm

Insider Text GardnerGregor Stewart

4:00pm

Building semantic search using Deep Learning GardnerSamiur Rahman

5:20pm

Panel: Data and Society GardnerAlexy Khrabrov • Elizaveta Malashenko • Brad Newman • Gurinder Sangha • Nicole Shanahan

8:45am

Opening Remarks GardnerAlexy Khrabrov

9:00am

Keynote: How Can We Trust Machine Learning? Exploration, Evaluation and Explanation for ML Models GardnerCarlos Guestrin

9:50am

What Kaggle has learned from 2MM machine learning models GardnerAnthony Goldbloom

10:40am

Analyzing Massive Time Series Data with Spark GardnerSandy Ryza

11:10am

MacroBase: Analytic Monitoring for the Internet of Things GardnerPeter Bailis

11:40am

Inside Pandora: Practical Application of Big Data in Music GardnerOscar Celma

1:10pm

Fast deep recurrent net training GardnerSanjeev Satheesh

2:10pm

Scalable Training of RNNs for Speech Recognition GardnerErich Elsen

3:00pm

Active Learning and Human-in-the-Loop Machine Learning GardnerLukas Biewald

4:00pm

Multimodal Question Answering for Language and Vision GardnerRichard Socher

5:00pm

Panel: Artificial Intelligence: Who is Winning? GardnerAlexy Khrabrov • SriSatish Ambati • Pete Skomoroch • Richard Socher • Shivon Zillis

8:45am

Opening Remarks GardnerAlexy Khrabrov

9:00am

Why you can't afford to ignore deep learning GardnerJeremy Howard

9:50am

Coevolution: UX and the Changing Relationship Between Mind and Machine GardnerHunter Whitney

10:40am

Driver: How Data Science and Engineering Can Extend the Lives of Cancer Patients GardnerPetros Giannikopoulos

11:10am

What Healthcare Can Learn from Netflix: Personalizing and Optimizing Preventive Care GardnerEric Williams

11:40am

Real-time diagnostics for the masses GardnerElad Ferber

12:00pm

Ginger.io: a Data-Driven Mental Health Care Provider GardnerSai Moturu

1:10pm

Cancer Screening using Deep Learning GardnerDaniel Golden

1:40pm

With Big Data Comes Big Responsibility GardnerNish Bhat

2:10pm

Discoveries in using behavioral sensor data for authentication GardnerJohn Whaley

3:00pm

Distributed Visualization for Genomic Analysis GardnerAlyssa Morrow • Eric Tu

3:30pm

Urban Heartbeat: Data Experiments with Place GardnerSteve Pepple

4:00pm

Extracting Medical Attributes from Clinical Trials GardnerSanghamitra Deb

4:50pm

Importance of rethinking data visualization GardnerKyle Hailey

5:20pm

Panel: Living Data GardnerAlexy Khrabrov • John St. John • priya joseph • Jeff Lerman • Daniella Perlroth