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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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.
Financial Services Disclosure Compliance Monitoring
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The story of this Australian financial services firm shows how new Regulatory Technology solutions for financial disclosure compliance monitoring can help firms reduce their costs and non-compliance risks by empowering, not replacing, human auditors.
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.
Top Applications of Text Analytics & NLP in Healthcare
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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.
AI in Education: Where is It Now and What is the Future?
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13 m
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.
Bias in AI and Machine Learning: Sources and Solutions
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12 m
Bias in AI causes machine learning-based systems to discriminate against particular groups. We investigated why AI bias occurs, and how to fight back.
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.
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