Natural language processing (NLP) is a fascinating segment of Artificial Intelligence that draws on a variety of emerging scientific fields. Wired Informatics is developing and commercializing NLP within the healthcare industry.
I met co-founder and chief strategy officer, Murali Minnah last year and we have been exploring applications for NLP within Health Business Group’s client base. I admire the company and its approach, so asked Murali to share his insights in this podcast:
- (0:11) You are involved with a lot of the hot buzzwords: big data, natural language processing, and machine learning. What do those words actually mean to you?
- (4:59) Are there aspects of healthcare that lend themselves well to natural language processing?
- (7:18) How well does NLP actually work today? What’s the trajectory for its development?
- (8:42) How do you work with a technology that is good and improving but not perfect? In healthcare it seems we’d be concerned about something that isn’t perfectly accurate.
- (10:59) If you do get to 100 percent accuracy, how do you contend with problems in the underlying data?
- (12:50) You mentioned operational use cases as the first places to start. What are some of the most compelling use cases today and down the road?
- (15:35) Where is your company getting traction? What use cases? What customers?