In July of this year, we sent out a series of survey questions to past guests who have been featured on the TechEmergence podcast, including academic researchers, founders, and executives who are experts in the machine learning domain. We received 58 total responses from 30 researchers and executives (the survey structure allowed respondents to choose from one to four relevant response categories, with an average individual response rate of 1.93 chosen categories). On the whole, the trend in responses aligns with what we might have predicted, based on previous proprietary editorials/research and external published media on the topic. For example, the apparent optimistic bent towards healthcare & pharmaceuticals, followed by eCommerce, aligns with CB Insights' tracking of popular areas for artificial intelligence venture capital deals in 2016 (an exception is robotics, though this may be a domain "on the horizon"). At the end of this article, we expand on insights received from our survey, specifically taking a closer look at trends in the industries where experts expressed the most optimism and touching on why some of these industries are more likely to be disrupted than others.
No one knows yet how the rise of smart machines will turn out for us in the end. However, when it comes to delivering healthcare solutions for humans more efficiently and quickly, it appears that, far from taking over, the machines are very helpful, at least for now. The pace of evolution in eHealth application development is moving quickly. The innovations from startups and established businesses put pressure on all of the competitors in the market for new solutions based on the latest IT capabilities. One of the most exciting technologies that disruptors are using to architect new apps is the power of machine learning.