AI Articles and Analysis about Process automation

There are several companies claiming to offer AI-based medical transcription software, specifically speech recognition software, to hospitals and healthcare companies. We found that these solutions are intended to help hospitals and healthcare companies with medical transcription in different forms, transcribing speech into text in order to fill out and update patient medical records in electronic health record (EHR) and electronic medical record (EMR) databases.
Machine Learning for Medical Transcription - Insights Up Front
We can’t seem to find evidence that the prominent companies offering speech recognition software for medical transcription have what we would expect in terms of talent at their company, except for Nuance Communications. It isn’t clear how exactly their solutions could work without natural language processing, a kind of artificial intelligence. Nuance employs many data scientists with PhDs and Master’s degrees in computer science and hard sciences like physics. This is generally what we look for when it comes to vetting a company on their claims to leveraging artificial intelligence and cutting through the marketing hype we so often see on AI vendor websites.

There are several companies claiming to offer AI solutions to healthcare companies, as we've explored extensively in our past reports. In this particular report, we focus on AI as it pertains to working with electronic health records (EHRs) and electronic medical records (EMRs). AI vendors offer solutions to hospitals and clinics with a variety of functions.

According to Accenture, approximately 66% of A&D executives polled indicated they are looking at investing in AI for 2019, particularly on security, production, and R&D. 80% believe that AI-based decisions will have a direct impact on the workforce by 2021.

This report attempts to highlight the wide array of real-world use cases of machine vision in the military. Several militaries claim to leverage machine learning, working with contractors and companies in some cases to deliver AI solutions. We found that these solutions help highlight the wide breadth of current and near-term military applications of machine vision. The companies and organizations discussed in this report help various militaries with at least one of the following:

Accenture reports that in 2017, the 16 top biopharmaceutical companies in the world had an aggregate global revenue of $428 billion, which was nearly half the global pharmaceutical market by net sales. The report also revealed a shift to specialty drugs for hard-to-treat diseases.

It seems that the majority of AI solutions for payment processing are focused on fraud detection and prevention. Some companies claim to offer straight-through processing software as well. Below, we detail four companies that all claim to offer artificial intelligence to banks and payment processors looking for solutions in two key areas:

Several companies offer AI-based credit scoring applications to banks and enterprise creditors looking to better understand the risk associated with their potential borrowers. Traditional methods of credit scoring take into consideration the credit histories of potential borrows, but this might not allow certain people access to credit despite the fact that they could pay their loans back when their payments are due.

One of the biggest problems facing business executives when it comes to adopting AI is determining whether a company is truly leveraging AI or simply using the term as a marketing strategy. We have discussed rules of thumb for assessing the authenticity of AI companies in previous articles based on insights derived from hundreds of interviews with industry experts and AI researchers over time.