AI Articles and Analysis about Process automation

The implementation of artificial intelligence applications in the healthcare space is poised to impact clinical workflows, physician training and the medical education model. A recent report by Accenture predicts that the AI health market will grow to an estimated $6.6 billion by 2021 and a compound annual growth rate (CAGR) of 40 percent. This represents a significant increase from a market size of $600 million in 2014.

The following brand partnership article was written by BIS Research analyst Rahul Papney, and edited by Raghav Bharadwaj of Emerj. For information about our advertising and publishing arrangements with brands, please visit our partnerships page.

Medical billing and coding is an integral component of healthcare. The medical billing outsourcing market alone is projected to reach $16.9 billion by 2021. The coding and billing process translates patient record information into standard codes which are used for billing patients and third-party payers such as a Medicare and insurance companies.

To stay competitive and relevant in the fast-changing world led by digital, India’s leading IT services companies, well-known for their cost-competitiveness, have begun leveraging more artificial intelligence (AI) initiatives as the technology has continued to gain traction.

This article was written by Sudhir Jha (Senior Vice President & Global Head of Product Management and Strategy), and was edited and created in partnership with Infosys. For more information about content and promotional partnerships with Emerj, visit the Emerj Partnerships page.

Episode summary: Most NLP applications we hear about involve marketing, customer service, and other customer-facing functions - but that there are NLP-related opportunities in other back-end functions as well.  

In a white paper about the digitalization of the chemistry and advanced materials sector published by the World Economic Forum and Accenture, total global chemical sales in 2014 amounted to $3.5 trillion and is expected to rise to $6.9 trillion by 2030.

Episode Summary: Natural Language Processing (NLP) can be applied to tasks such as customer service handling or in chatbots to answer fact based questions. Another emerging application for NLP is in content marketing and content production.