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AI for Legalese

Have you ever signed a lengthy legal contract you didn’t fully read? Or have you every read a contract you didn’t fully understand? Contract review is a time-consuming and labor-intensive process for everyone concerned — including contract attorneys. Help is on the way. IBM researchers are exploring ways for AI to make tedious tasks like contract review easier, faster, and more accurate.

Tableau Releases Ask Data, A New and Intuitive Way to Analyze Data With Natural Language

Tableau Software (NYSE: DATA), a leading analytics platform, announced the general availability of Ask Data, which leverages the power of natural language processing to enable people to ask data questions in plain language and instantly get a visual response right in Tableau. This patent pending capability makes it easier for anyone, regardless of skill set, to engage deeply with data and produce analytical insights they can share with others without having to do any setup or programming.

Use of Natural Language Processing and AI Driving Big Data Innovation to New Levels

To really drive innovation to a whole new level we’re seeing a rise in the use of Natural Language Processing (NLP) and Artificial Intelligence (AI) to make finding and using quality data that much easier. Leading industry analyst firms have noted that Machine Learning, AI and NLP are quickly becoming table stakes for analytics. Unifi Software’s Sean Keenan explores how tools like these are changing the landscape of big data and driving innovation forward.

The Untapped Potential in Unstructured Text

In this contributed article, Mary Beth Moore, AI and Language Analytics Strategist at SAS, suggests that you look at your organization and consider the unstructured text you gather and the possible revelations it may hold. That data reflects the voices of those you serve and holds the potential to help you deliver better experiences, improve quality of care and enrich human engagement. There are powerful stories to be told from your unstructured text data.

The Use of NLP to Extract Unstructured Medical Data From Text

In this contributed article, Luke Potgieter, tech advisor for John Snow Labs, discusses the important of NLP for the healthcare industry, and offers two common AI-in-healthcare use cases. NLP is a very useful and important tool for use in AI in dealing with unstructured data.

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.