The Blog.

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.

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.

Financial Services Disclosure Compliance Monitoring

The story of this Australian financial services firm shows how new Regulatory Technology solutions for financial disclosure compliance monitoring can help firms reduce their costs and non-compliance risks by empowering, not replacing, human auditors.

Using Sentiment Analysis to Improve Patient Outcomes

Medical researchers are increasingly turning to social media to understand how people experience their conditions. In this paper, a team from Sant Baba Bhag Singh University explores the use of sentiment analysis in improving treatments and outcomes for diabetes patients.

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