How to Apply Machine Learning to Business Problems 4

Machine Learning Industry Predictions: Expert Consensus

In July of 2016, we sent out a series of survey questions to past guests who have been featured on the Emerj podcast, including academic researchers, founders, and executives who are experts in the machine learning domain. In this article, we focus on responses to the following question:

How to Apply Machine Learning to Business Problems

Five Year Trends in Medical AI Applications

Episode Summary: I remember reading an article in Scientific American years ago about a poster of a person looking in the direction people sitting in a school dining room, and that this poster would make people sitting in the dining room less likely to litter. This seems like an absurd example of holding people accountable for their actions, but as it turns out, there are a lot more serious consequences to ensuring behavior change through observation, and one area where this matters is medicine.
Today, there’s a major issue with people who don't adhere to their medical regimens, only to relapse or experience more serious symptoms later on. This week's guest, Cory Kidd, CEO of Catalia Health and known for his work at MIT on human-robotic interaction, is working to help solve this problem by developing a robot that adds some of that physical presence and accountability. This is likely one of many novel medical AI applications that we're likely to see roll out in healthcare over the next decade.

The Pathway to "Precision Medicine" - with Tute Genomics CEO Reid Robison

The Pathway to “Precision Medicine” – with Tute Genomics CEO Reid Robison

Tute Genomics is part of a grand shift towards the leveraging of genetic information towards better health and better treatments. One of the "holy grails" of this transition from one to the other is the advent of

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