Pamela is Managing Editor at Emerj. She previous worked in B2B digital publishing with Innovation Leaders and Boston MedTech. Pamela holds a Master's degree in Media Ventures from Boston University.
Articles by Pamela
When searching Indeed at the time of writing this article, over 770 remote machine learning job listings were posted. A search on LinkedIn yielded over 1,200 results.
With the entrance of artificial intelligence and its capabilities of recognizing temperature, vibration, and other factors from sensors pre-built into machinery and vehicles, business leaders in heavy industry might be interested in the possible opportunities of predictive and preventative maintenance applications.
Before getting into this report, we have to inform readers that none of the companies discussed below claim to offer software that provides diagnostics, except Cognoa, which has FDA approval to call itself a diagnostic tool. We suspect this is because these companies are not legally allowed to do so. We usually don't refer to a dictionary to determine what constitutes a concept, preferring to create our own informed definitions, such as in our What is Machine Learning? piece, but Merriam Webster defines "diagnosis" as the following: "the art or act of identifying a disease from its signs and symptoms."
In May 2018, Bard College’s Center for the Study of the Drone released a report estimating that 910 “state and local police, sheriff, fire, and emergency services agencies” had acquired drones in the United States by the end of 2017.
According to the US Government Accountability Office, the Federal Bureau of Investigation’s database contains over 30 million mugshots of criminals and ID card images from 16 states. This is just one of many law enforcement databases which also contain further identity information, including fingerprints and text data.
When contemplating a new venture into AI or machine learning, companies need to take on a number of important considerations that relate to talent, existing data, and limitations. One way executives can judge how successful or appropriate and AI project would be for their company is to examine use cases of businesses that have previously done something similar.
Rather than coming up with completely new processes or products that involve deep learning, companies say they are using this AI technology to expand on functions or tasks that already existed at their organization, according to a new report published by O’Reilly.
A 2017 Nielsen report titled “Young and Ready to Travel (and Shop)” revealed that the millennial generation travels more than any other generation, including Baby Boomers. The report suggests that, unlike previous generations, the travel industry will need to shift in order to cater to the millennial’s unique preferences and “lack of predictability.”