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.
Industry leaders are required to keep up with change. In regulated industries like the life sciences, ensuring the safety of all products--and therefore, the public--is a main priority. Change is the necessary component driving continuous improvement. Organizational leaders must have the necessary tools to keep up with changes to products, processes, or the market. The medical device industry has noticed this factor and uses it to save lives.