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.
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.
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 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.
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?
Medical researchers are increasingly turning to social media to understand how people experience their conditions. In this paper, a team from Sant Baba Bhag Singh University explores the use of sentiment analysis in improving treatments and outcomes for diabetes patients.