The Blog.

Adding New NLP Capabilities for RPA: Build or Buy?

Robotic Process Automation (RPA) is moving towards larger, transformational initiatives. As part of that shift, RPA vendors must improve their natural language processing (NLP) capabilities to support trending text analytics use cases. In this article, we explore your options as an RPA vendor looking to add new text analytics and NLP capabilities to your platform.

Text Analytics & NLP in Robotic Process Automation

Robotic Process Automation (RPA) reduces costs and increases profitability by freeing workers to focus on higher-value work. This article explains how text analytics and natural language processing fit into that picture, and why RPA providers looking to add text analytics and NLP into their platform are better-off buying and integrating a solution from an established vendor.

AI in Healthcare: Data Privacy and Ethics Concerns

Artificial intelligence has rendered HIPAA obsolete. As AI in healthcare becomes commonplace, data privacy, security and ethical issues are growing. We explored the uses of AI in healthcare, the ethical issues involved, and why experts are raising flags about healthcare data storage and data security practices.

Telematics in Cars and Auto Insurance: Privacy or Savings?

Is saving money on your car insurance reason enough to trade away your privacy? We researched how automakers, insurance companies and advertisers use telematics to collect, analyze and monetize data about your driving habits, and why maybe you shouldn’t be so quick to jump on the telematics bandwagon.

An AI Listens to The October Democratic Debate

It’s election season and the Lexalytics Blog once again turns its attention to current political events. This time we fed the October 2019 Democratic debate to our AI-powered NLP tool, Semantria. In this article we review many of the insights we discovered.

How to Use AI to Solve Real Business Problems

Instead of going for a high-risk moon-shot, here’s how to effectively integrate AI into your business to solve tangible problems. In this article, originally posted on Forbes, Lexalytics CEO Jeff Catlin keeps it clear and concise.

Genetics Testing: What Happens to Your DNA Data?

26 million people had already used take-home genetics testing kits by the start of 2019. But what happens to your data afterwards? We looked into it and found biotech firms, retailers, law enforcement agencies and others buying and accessing DNA data en masse.

Top Applications of Text Analytics & NLP in Healthcare

Healthcare databases are growing exponentially. Today, healthcare providers, drug makers and others are turning this data into value by using text analytics and natural language processing to mine unstructured healthcare data and then doing something with the results. Here are some examples.

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