AI at the Top Healthcare Companies in the World - Current Initiatives

AI at the Top Healthcare Companies – Current Initiatives

Although one might assume healthcare companies are investing the most amount of money into AI for R&D efforts, such as clinical trials, drug discovery, and surgical robotics, the top healthcare companies don't seem to be publicizing their efforts if they are.

Artificial Intelligence in Healthcare - A Comprehensive Overview

Artificial Intelligence in Healthcare – A Comprehensive Overview

Various use cases and applications for AI and machine learning in the healthcare industry are proposed more frequently now than ever. Healthcare leaders may find it difficult to keep up with where AI is being applied in their sector.

AI for Attracting Millennial Insurance Customers - What's Possible

AI for Attracting Millennial Insurance Customers – What’s Possible

Machine learning has far-ranging applications in the finance space broadly from document digitization to document search, chatbots to fraud detection. The insurance space in particular, however, stands to benefit from AI and machine learning applications in a few unique ways. They could help insurance firms with a challenge that’s at the forefront of the insurance world: attracting and meeting the needs of millennial customers.

Data Management Challenges in the Healthcare Industry

Overcoming Data Challenges for AI in the Healthcare Industry

Episode Summary: There's a lot of venture money pouring into artificial intelligence in healthcare. From pharma to hospitals and beyond, the potential applications in healthcare are promising. 

AI in the Asian Insurance Sector - Current Applications

AI in the Asian Insurance Sector – Current Applications

AI applications for the insurance industry have certainly garnered a lot of press lately. We’ve previously covered such applications in the American and European insurance spaces. Countries in Asia such as China and Japan have large insurance industries and seem to have established national AI strategies.

Natural Language Processing for Insurance Customer Insights

Natural Language Processing for Insurance Customer Insights

Along with the rise in popularity of chatbots and simple conversational interfaces, there is growing interest around other natural language processing (NLP) capabilities in the banking, finance, and insurance industries.

Natural Language Processing in Healthcare – Current Applications

Natural Language Processing in Healthcare – Current Applications

When it comes to the healthcare industry, one might be able to think of numerous use cases for AI approaches like machine vision or predictive analytics. However, the applications of natural language processing (NLP) in healthcare are just as varied.

Natural Language Processing in Insurance - Current Applications

Natural Language Processing in Insurance – Current Applications

The applications of natural language processing (NLP) have been increasing as more companies find uses for their text data. This includes insurance companies with large stores of data from claims and customer support tickets.

Big Data in Healthcare - 4 Current Applications

Big Data in Healthcare – 4 Data Management Software with AI Capabilities

The healthcare industry is perhaps second only to finance when it comes to the sheer amount of historical data available for use with artificial intelligence. Data from EMRs, insurance claims, clinical trials, and drug research and development can all be pulled into a machine learning algorithm to generate insights on patient behavior, patient risk, and effective treatments for a variety of conditions, among a variety of others.

AI and IoT in Healthcare - Current Applications and Possibilities

AI and IoT in Healthcare – Current Applications and Possibilities

Sensors and mobile devices are in many ways working with AI software for business intelligence purposes in a few industries, including insurance and oil and gas. In the healthcare space, mobile devices and wearables allow patients to receive information on possible diagnoses for their symptoms and to monitor metrics such as their heart rate.