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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.

Antonio Valderrabanos

Bitext
CEO and Founder
Madrid, Spain

Antonio Valderrábanos, CEO & Founder at Bitext
I have a long experience on how to use Deep Linguistic Analysis to solve business problems, particularly in the area of Text Analytics. I started working for large R&D labs, at IBM and Novell. I developed the first grammar checker released with a commercial word processor (Microsoft Word). Then, I founded Bitext, a company focused on Deep Linguistic Analysis.

Bitext is specialized in developing the most accurate multilingual text analysis engines in the market. Bitext works at global level for companies like Salesforce or Intel.

In the academic field, Antonio has a Bachelor Degree in Linguistics and a Ph.D. in Computational Linguistics.

11:10am PDT

Investing in Data Analytics: Risks and Opportunities in the Zettabyte Era AdaKanu Gulati

2:10pm PDT

The Lego Model for Machine Learning GardnerVitaly Gordon Twitter Heron in Practice AdaKarthik Ramasamy

5:00pm PDT

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

9:50am PDT

Building Word2Vec Models with Text Data AdaJorge Castanon Identifying Actionable Messages on Social Media MarkovNemanja Spasojevic

10:40am PDT

lda2vec AdaChristopher Erick Moody

1:40pm PDT

Of Rules and Probabilities: Computational Linguistics Methods for Improving Machine Learning Models AdaVita Markman

2:10pm PDT

Aspect Based Sentiment Analysis in 20+ Languages AdaAntonio Valderrabanos

5:00pm PDT

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

9:50am PDT

Black Magic: How to apply Machine Learning to real-world problems MarkovEvion Kim

10:40am PDT

An approach to internal search query analysis MarkovMax Ho • Dhruv Sampat

11:10am PDT

Text Analytics Simplified MarkovTrung Diep • Ronald Sujithan

11:40am PDT

From text to knowledge via ML algorithms - the Quora answer MarkovXavier Amatriain

1:10pm PDT

Single Customer View MarkovThomas Trolez

1:40pm PDT

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

2:10pm PDT

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

2:30pm PDT

Building AI that Searches and Sells AdaAnand Kulkarni

4:00pm PDT

Building semantic search using Deep Learning GardnerSamiur Rahman

5:20pm PDT

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

11:40am PDT

Recommendations for Building Machine Learning Software AdaJustin Basilico The Security Wolf of Wall Street: Fighting Crime with High-Frequency Classification and Natural Language Processing MarkovJeremiah O'Connor and Thibault Reuille