Advancing the cultural adoption of Machine Learning

Scott Briercheck
Chief Scientist
Day 1
3:30 PM

There is a growing need in health care to find the answers to tough financial and health care problems from the massive quantities of data that hospitals and governments are collecting. Machine Learning delivered on scalable, parallel big data infrastructure offers a dual path to the solution, addressing both the performance and the data understanding needs in one combined solution.

In our project, we propose to advance the cultural adoption of Machine Learning at nThrive by providing a Machine Learning Interface and Big Data framework that simplifies the “ask” when a services or solutions team wants to evaluate the suitability of their data for Machine Learning.