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.
The Blog.
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 […]
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.
AI in Education: Where is It Now and What is the Future?
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AI-led or AI-assisted? AI in education is already here, but its future is still being decided. Who’s leading the space? How are they approaching AI-powered EdTech? And what does AI ethics mean in the context of education?
BERT Explained: Next-Level Natural Language Processing
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BERT is the latest and greatest in Natural Language Processing technology. Our VP of Marketing, Andrea Kulkarni, stops by the blog to explain what it is and how it impacts Lexalytics.
The Crucial Piece that NPS Misses, and How to Fill the Gap
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8 m
Net Promoter Score (NPS) is great for a quick view of customer satisfaction and brand health. But NPS can be dangerously misleading. Here’s why.
Cloud or On Premise for Data Analytics: How to Choose
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5 m
These 4 factors are driving big names back to private cloud or on premise implementations for data storage and analytics. Should you move, too?
Let’s Talk AI Cooperation (Don’t Call it an “Arms Race”)
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6 m
Advances in artificial intelligence are usually framed as an arms race. Instead, let’s look at AI research through the sunnier lens of cooperation.
Voice of Employee Analytics: Step-by-Step Guide
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16 m
HR teams use Voice of Employee analytics to gather, analyze and interpret employee feedback data to reduce turnover, improve productivity and more. In this article, Andrea Kulkarni demonstrates how you can do this without any coding or data science experience.
Don’t Crash and Burn with Your Chatbots
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5 m
Chatbots have made the leap from fun toy project to cutting-edge business proposition. Here are some best practices to make your chatbot succeed.