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This article is based on a talk by Emerj.com (formerly TechEmergence) CEO Daniel Faggella at a recently held independently organized TEDxURI event. Part of the talk was on the impact of artificial intelligence on job security.

According to the Consumer Financial Protection Bureau, Americans filed more grievances about debt collections than about any other financial incident. Of the 316,810 complaints received by the CFPB about debt collection in 2017, the most common was, “Continued attempts to collect debt not owed,” which was cited by 39 percent of grievance filers.

AI is finding itself in the physical retail space by way of augmented reality, or AR. Research and Markets estimated the size of the AR in retail market around $1.155 billion in 2018. As of now, numerous companies claim to provide AR support to shopper experiences in a variety of industries, including automotive and fashion.

According to the Automated Imaging Association (AIA), machine vision is a combination of hardware like cameras, image sensors, and image processing software that can help automate applications like inspection and analysis by allowing machines (such as robots) to ‘see’ their surroundings.  

Episode Summary: In this episode of the podcast, we interview AIG’s Chief Data Science Officer, Dr. Nishant Chandra, about natural language processing (NLP) for internal and team communication. Dr. Chandra talks about how NLP can help with sharing documents with specific team members whose roles warrant viewing those documents.

With an ongoing nurse shortage in the United States and other areas, startups and global companies have begun developing methods for handling time-consuming responsibilities traditionally held by nurses, ranging from daily operations to diagnosis.

Today, customers interact with banks and financial institutions across several different channels which has lead to an explosion in customer data being collected by these organizations. This data can be effectively leveraged using AI to gain insights on current and future customer behavior.

Understanding customer feedback gets harder and harder at greater scale and with a greater variety of channels through which customers can provide feedback. Businesses that seek to better grasp the sentiments of their customers might have to sift through thousands of messages in order to get a feel for what customers are saying about their products or services.

Businesses today around the world have some portion of their operations being automated, which concurrently has meant that a lot of data about these processes is being collected (from sensors or internal company data etc). A combination of AI, big data analytics, and data science techniques seem to be a growing trend in many industry sectors, with predictive analytics being one of the most well-known.

According to data from the U.S. Department of Health and Human Services, the progress of the value-based healthcare delivery system in the U.S. — a provider payment model based on patient outcomes — has run almost parallel to the significant implementation rate of electronic health records/electronic medical records (EHR/EMR).