Predictive Analytics in Insurance – An Overview of Current Applications

The insurance industry is making use of various artificial intelligence applications to solve business problems, but perhaps the most versatile is predictive analytics. The ability to aggregate data from disparate sources for business intelligence allows business leaders in insurance to inform important decisions across departments.

AI at the Top 4 Israeli Military Defense Contractors

AI at the Top 4 Israeli Military Defense Contractors

As we've done with our article on AI at the top 5 US defense contractors, this report discusses the artificial intelligence initiatives at the top four military defense contractors of Israel by revenue. Although Israel is a nation just 70 years old, it possesses one of the most modern militaries in the world.

AI for Affordable Care Act (ACA) Management and Compliance

AI for Affordable Care Act (ACA) Management and Compliance

The Patient Protection and Affordable Care Act (ACA) has significantly changed the landscape for how healthcare providers can be reimbursed by insurers. They are now reimbursed based on the guidelines set by Value-based Purchasing (VBP) models. This type of payment model reimburses the healthcare provider based on the quality of their work with the insured patient.

How "AI" Will be Discussed in the Future - AI Zeitgeist 2

How “AI” Will be Discussed in the Future (AI Zeitgeist 2 of 7)

This article is part 2 of a 7-part series called "AI Zeitgeist," where we'll be mapping out the details of AI adoption over the next 10 years and explore the critical changes in the AI ecosystem that business leaders need to understand.

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 for Contract Analysis in the Enterprise

AI for Contract Analysis in the Enterprise

Episode Summary: Close to a year ago, we had an interview here on the AI in Industry podcast with Jeremy Barnes of Element AI. We visited their headquarters in Montreal, and we'd interviewed Yoshua Bengio a couple years before that.

Business Intelligence in Banking - Current Applications

Business Intelligence in Banking – Current Applications

Decision-makers in the banking sector have a unique set of business intelligence needs, and artificial intelligence has been on the radar of banking executives for several years now. It follows that AI and machine learning would find their way into business intelligence applications for the banking sector.

AI at the Top European Defense Contractors - An Overview

AI at the Top European Defense Contractors – An Overview

Due to the popularity of our recent report on AI at the top 5 US defense contractors, we decided to broaden our scope of AI in the world's militaries. This report attempts to illuminate the current artificial intelligence projects at Europe’s largest private defense contractors.

Search and Rescue Robots - Current Applications on Land, Sea, and Air

Search and Rescue Robots – Current Applications on Land, Sea, and Air

In the past decade the number of people killed by natural disasters each year has ranged from as low as 14,389 in 2015 to as high as 314,503 in 2010, according to the International Federation of Red Cross and Red Crescent Societies. Every year over 100,000,000 people are also affected by natural disasters. Government, companies, and aid organizations are all working to keep these tragic deaths as low as possible. One tool they have turned to for help in recent years is search and rescue robots.

Business Intelligence in Pharma and Life Sciences - Current Applications

Business Intelligence in Pharma and Life Sciences – Current Applications

Business leaders in pharma and life sciences have more specific business intelligence needs than peers in other industries. In addition to common business drivers like marketing, profit and loss, and customer churn, pharmaceutical companies need information regarding patients and clinical trial results.