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State of the Art Natural Language Processing at Scale

The two part presentation below from the Spark+AI Summit 2018 is a deep dive into key design choices made in the NLP library for Apache Spark. The library natively extends the Spark ML pipeline API’s which enables zero-copy, distributed, combined NLP, ML & DL pipelines, leveraging all of Spark’s built-in optimizations.

Interview: Tammy Bilitzky, CIO of DCL

I recently caught up with Tammy Bilitzky, CIO of DCL, to do a deep dive into how her company utilizes state-of-the-art technologies like machine learning, AI, deep learning and NLP to make DCL’s products competitive. Tammy is responsible for managing DCL’s technology department, continuing its focus on resilient, high-quality, and innovative products, while helping to grow the organization.

TriNetX Unveils Natural Language Processing to Improve Protocol Design and Accelerate Identification of Patients for Clinical Trials

TriNetX, the global health research network for healthcare organizations, biopharmaceutical companies, and Contract Research Organizations (CROs), announced the general availability of its Natural Language Processing (NLP) service.