Deep Learning and NLP by Salesforce, LinkedIn and Baidu

Meet the Speakers:

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Richard Socher (https://www.linkedin.com/in/richard-socher-19363b18?authType=NAME_SEARCH&authToken=1M6n&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A61294143%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1475518196083%2Ctas%3Arichard%20socher), Salesforce, Chief Scientist

Richard Socher is Chief Scientist at Salesforce. He leads the company’s research efforts and works on bringing state of the art artificial intelligence solutions to Salesforce.

Prior to Salesforce, Socher was the CEO and founder of MetaMind, a startup acquired by Salesforce in April 2016. MetaMind’s deep learning AI platform analyzes, labels and makes predictions on image and text data so businesses can make smarter, faster and more accurate decisions than ever before.

Socher was awarded the Distinguished Application Paper Award at the International Conference on Machine Learning (ICML) 2011, the 2011 Yahoo! Key Scientific Challenges Award, a Microsoft Research PhD Fellowship in 2012 and a 2013 "Magic Grant" from the Brown Institute for Media Innovation and the 2014 GigaOM Structure Award.

Socher obtained his PhD from Stanford working on deep learning with Chris Manning and Andrew Ng and won the best Stanford CS PhD thesis award.

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Dan Bikel (https://www.linkedin.com/in/danbikel), LinkedIn, Principal NLP Scientist & Sr. Manager

Daniel M. Bikel graduated with honors from Harvard in 1993 with a degree in Classics–Ancient Greek and Latin. From 1994 to 1997, he worked at BBN on several natural language processing problems, including development of the first high-accuracy stochastic name-finder. He received M.S. and Ph.D. degrees in computer science from the University of Pennsylvania, in 2000 and 2004, respectively, discovering new properties of statistical parsing algorithms.

From 2004 through 2010, he was a Research Staff Member at IBM Research, working on wide variety of NLP problems, including parsing, semantic role labeling, information extraction, machine translation and question answering. From 2010 to May, 2015, Dr. Bikel worked on NLP and speech processing research at Google. As a researcher there, he built dynamic adaptation of language models for automatic YouTube captioning, built a generic framework for reranking and was a founding member of the team that built the semantic parser that lies behind Google Now.

At LinkedIn, Dr. Bikel leads a team of NLP researchers and engineers, building text processing methods and models for use throughout the company, including deep learning approaches specific to LinkedIn’s problem areas. He has published numerous peer-reviewed papers in the leading NLP conference proceedings and journals, and has built software tools that have seen widespread use in the NLP community.

He co-edited the book “Multilingual Natural Language Processing Applications: From Theory to Practice”, published by IBM Press/Pearson in 2012.

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Carl Case (https://www.linkedin.com/in/carl-case-2a999391), Baidu Silicon Valley AI Lab, Research Scientist

Carl Case is a researcher in Baidu's Silicon Valley AI Lab. He leads the lab's NLP research team, which works to build the next generation of English language interfaces for computers and other devices. Before starting the NLP team, he helped to build Deep Speech, Baidu's state-of-the-art deep learning-based speech recognition system.
Prior to joining Baidu, Carl was the fifth employee at San Francisco-based Sift Science, where he learned to ship scalable machine learning systems that solve business' real-world fraud problems.
Carl has a B.S. and M.S. in computer science from Stanford, where he work with Andrew Ng and Adam Coates on robotics and computer vision. He loves to teach and helped deliver Prof. Ng's first online offering of the machine learning class that is now Coursera's second most-watched class of all time.

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Moderator: Jordan Novet (https://www.linkedin.com/in/jordannovet?authType=NAME_SEARCH&authToken=bved&locale=en_US&trk=tyah&trkInfo=clickedVertical%3Amynetwork%2CclickedEntityId%3A30795332%2CauthType%3ANAME_SEARCH%2Cidx%3A1-1-1%2CtarId%3A1475518227696%2Ctas%3Ajordan%20novet), VentureBeat

Agenda:
6:00 - 6:30 Networking and Registration
6:30 - 6:45 Introduction by The Hive
6:45 - 7:00 Panelists' Introduction
7:00 - 8:00 Panel Discussion
8:00 - 8:15 Q&A

JOIN THE CONVERSATION @HIVEDATA!