WTF Health – ‘What’s the Future’ Health? is a new interview series about the future of the health industry and how we love to hate WTF is wrong with it right now. Can’t get enough? Check out more interviews at www.wtf.health.
What can you find diving into the black hole of healthcare’s unstructured data? Natural Language Processing (NLP) seems to be the ‘tech du jour’ this year, so I spoke to early-entrant Simon Beaulah of Linguamatics about the big picture of NLP-plus-AI and the tech’s evolving role in improving care by putting together a more complete ‘patient narrative’ in the EMR.
Wanna hear his thoughts on what’s next for NLP in terms of scaling? Jump in at 2:15 mark.
The term Big Data is ubiquitous and enigmatic. It’s so overused that it has practically morphed into a meme for using fancy math to make technology better. In a recent Center for Technology Innovation analysis of Big Data in education the term was defined as a, “group of statistical techniques that uncover patterns.” But, others disagree, so what is Big Data?
To answer that question Jenna Dutcher, Community Relations Manager for datascience@berkeley, the UC Berkeley School of Information’s online masters in data science, asked subject matter experts from industry, academia, and the public sector how they define Big Data. All of the answers are fascinating but there were several worth highlighting.