Data, analytics, machine learning, and AI in healthcare in 2021
What do you get when you juxtapose two of the hottest domains today – AI and healthcare? A peek into the future, potentially.
In 2020, few things went well and saw growth. Artificial intelligence was one of them, and healthcare was another one. As noted by ZDNet’s own Joe McKendrick recently, artificial intelligence remained on a steady course of growth and further exploration — perhaps because of the Covid-19 crisis. Healthcare was a big area for AI investment.
Today, the results of a new survey focusing precisely on the adoption of AI in healthcare are being unveiled. ZDNet caught up with Gradient Flow Principal Ben Lorica, and John Snow Labs CTO David Talby, to discuss findings and the state of AI in healthcare.
The survey was conducted by Lorica and Paco Nathan, and sponsored by John Snow Labs. A total of 373 respondents from 49 countries participated. A quarter of respondents (27%) held Technical Leadership roles. Here are some key findings, with additional insights from Lorica and Talby.
When asked what technologies they plan to have in place by the end of 2021, almost half of respondents cited data integration. About one-third cited natural language processing (NLP) and business intelligence (BI) among the technologies they are currently using or plan to use by the end of the year.