People Analytics and Voice of Employee programs take a data-driven approach to improving productivity and reducing turnover by analyzing employee feedback. This article explains what Voice of the Employee is, why it’s valuable and how to do it.
Build vs Buy: Text Analytics & NLP
on
9 m
From customization to scalability, there’s a lot to consider when deciding whether to build or buy an NLP or system. In this article we outline the dilemma and explore the pros and cons and costs of both options.
Stories of AI Failure and How to Avoid Similar AI Fails
on
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.
Best Text Analytics Solutions: The Ultimate Guide
on
15 m
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
on
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 Novel Natural Language Processing Applications in Business
on
9 m
How are real business actually using natural language processing? In this blog post we explore 9 interesting business applications of text analytics and NLP across a wide range of industries.
Adding New NLP Capabilities for RPA: Build or Buy?
on
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
on
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
on
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
on
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?
on
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.
An AI Listens to The October Democratic Debate
on
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.
Or call us at 1-800-377-8036