Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and Understand: Teaching Machines to Read, Write & Understand - Softcover

Ankur A. Patel is an AI entrepreneur, thought leader, and author. He is currently the cofounder and head of data at Glean and the cofounder of Mellow. Glean uses natural language processing to deliver vendor spend intelligence within an accounts payable solution. Mellow develops easy-to-use natural language processing APIs for developers to use as part of their product build.

Previously, Ankur was the vice president of data science at 7Park Data, a Vista Equity Partners portfolio company. Ankur used alternative data to build alternative data products for hedge funds and developed a natural language processing-based entity recognition, resolution, and linking platform for enterprise clients. Prior to 7Park Data, Ankur led data science efforts in New York City for Israeli artificial intelligence firm ThetaRay, a pioneer in applied unsupervised learning.

Ankur began his career as an analyst at JPMorgan and then became the lead emerging markets sovereign credit trader for Bridgewater Associates, the world's largest global macro hedge fund. He later founded and managed R-Squared Macro, a machine learning-based hedge fund.

A graduate of the Woodrow Wilson School at Princeton University, Ankur is the recipient of the Lieutenant John A. Larkin Memorial Prize. He currently resides in New York City.

Ajay Arasanipalai is a deep learning researcher and student at University of Illinois at Urbana-Champaign. He's authored many popular articles that discuss state-of-the-art deep learning research. In March 2018, Ajay was invited to speak about accelerated deep learning at Think 2018, IBM's largest annual tech conference. Currently, as cochair of the ACM SIGAI chapter at the University of Illinois, he organizes educational workshops and projects for undergraduate students.