It pretty much started here: McCulloch and Pitts wrote a paper [1] describing an idealized neuron as a threshold logic device and showed that an arrangement of such devices could express any propositional logic formula. […]
5 Industries Taking Advantage of Text Analytics
on
3 m
Text analytics, also called text mining, has countless applications. Businesses are taking advantage of text analytics to update their service offerings, improve compliance, get ahead of PR disasters, and more. Here are 5 examples of […]
AI in Healthcare: Data Privacy and Ethics Concerns
on
10 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.
6 Predictions for AI, ML and NLP for 2021
on
3 m
Every year, we like to consider what happened in the last year in AI, ML and NLP, and prognosticate on what might happen in the next 12 months. And while 2020 was a doozy of […]
The 7 Basic Functions of Text Analytics & Text Mining
on
7 m
From Tokenization to PoS Tagging and beyond, this high-level overview explains the basic functions of text analytics and natural language processing.
How NLP-based VoC programs can help hospitality brands meet customer expectations during COVID-19
on
5 m
(originally posted on Customer Think) COVID-19 has had an extensive impact on the hospitality industry. Shelter-in-place restrictions, along with event cancellations, reductions in business travel, and widespread job losses have altered how and why people […]
Text Analytics & NLP in Healthcare: Applications & Use Cases
on
10 m
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)
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.
AI In Financial Services: Three Current And Emerging Applications
on
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
on
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
on
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
on
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.