Discover how the top 6 text analytics vendors differ from one another and learn about which platform suits which use case. This comprehensive text analytics guide serves as the who’s who and the what’s what in natural language processing.
Voice of Customer Analytics: What, Why and How to Do It
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13 m
Voice of Customer programs transform unstructured feedback into usable data. This article dives deep into what Voice of Customer is, where to capture it, and how to build an effective Voice of Customer analytics process to increase revenue and reduce customer churn.
9 More Natural Language Processing Applications
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9 m
How are real business actually using natural language processing? In this blog post we explore 9 interesting applications of text analytics and NLP across a wide range of industries.
Adding New NLP Capabilities for RPA: Build or Buy?
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7 m
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.
Machine Learning for Natural Language Processing
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14 m
Paul Barba explains the role of machine learning and AI in natural language processing, how to apply machine learning to solve problems in natural language processing and text analytics, and why a hybrid ML-NLP approach is best.
Text Analytics & NLP in Robotic Process Automation
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11 m
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
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8 m
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?
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9 m
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.
Stories of AI Failure and How to Avoid Similar AI Fails
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11 m
Don’t fail prey to the AI hype machine. These high-profile stories of AI failure are alarming for consumers, embarrassing for the companies involved, and an important reality-check for us all.
An AI Listens to The October Democratic Debate
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3 m
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
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5 m
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?
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9 m
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.
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