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.
Machine Learning (ML) for Natural Language Processing (NLP)
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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.
AI In Financial Services: Three Current And Emerging Applications
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5 m
While the impact of artificial intelligence (AI) is a bit of a mixed bag in a number of industries, we’re seeing some exciting traction in financial services. In this month’s article, I take a look […]
How AI Can Be Used As A Disaster Preparedness And Support System
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4 m
The coronavirus pandemic has revealed a lack of disaster preparedness on a global scale. This is despite the fact that COVID-19 is not the first pandemic we’ve faced in recent years — between 2011 and 2018, […]
Twitter’s Reaction to Covid-19 and HIMSS20
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2 m
In March, we were excited about attending the HIMSS 2020 Global Conference & Exhibition and had put in a lot of effort to get ready to tell attendees all about our AI work in Medical […]
Voice of the Employee Explained: VoE Programs & More
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11 m
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
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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
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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.
Best Text Analytics Solutions: The Ultimate Guide
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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
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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 Novel Natural Language Processing Applications in Business
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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?
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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.