This revolution is shifting consumers’ interests demographically, with big chunks of potential customers looking for digital-first interactions.

Pythonic AI gets up to an $85,000 seed investment for winning the Reverse Pitch event in the insurers' home city of Milwaukee.

While the majority believe AI-driven technologies can provide significant competitive advantages, only 29 percent said their organizations actually have such strategies.

At the Artificial Intelligence conference in New York, Sheldon Fernandez, CEO at DarwinAI, spoke about how organizations can put ethics best practices into play with their AI efforts.

A bill introduced in Congress would let the FTC require and monitor procedures by big companies to audit algorithms for fairness and accuracy.

A bill introduced in Congress would let the FTC require and monitor procedures by big companies to audit algorithms for fairness and accuracy.

Machine learning and RPA are among the cognitive computing technologies that will help insurers win in a changing market.

As business leaders build a deeper understanding of analytics success, IT leaders must establish the right skills, tools and technologies.

Conversational technologies are becoming attractive supplemental channels for insurers.

The Alpine state is at the forefront of some cutting-edge research that stands to reshape the future of transportation, in particular driverless-car technology.

The top areas where insurers will spend new money are predictive modeling and link analysis/social network analysis.

This combination ensures accuracy over time and enables the ability to analyze information and provide it quickly.

Consumers report broad concerns about the fairness and acceptability of using computers for decision-making in situations with important, real-world consequences.

One of the most popular conferences for IT leaders is the MIT Sloan CIO Symposium. This year’s event will be all about data management, analytics, AI and disruptive technologies.

China's SenseTime's goal is to get AI in front of a swathe of industries and as many people as possible,

Insurers must decide which business problems they need to address first, which require more data, and how to operationalize models in their core production system.

Dogan Kaleli, leader of the program business, finds opportunities to pilot various emerging techs in his role and beyond.

The importance given to understanding and preventing bias and unfairness is evident in the mainstream artificial intelligence conferences.

A new report, as well as several other studies, confirm a frustrating problem: The AI hype is making it impossible to figure out how much businesses really need it and are using it.

The visionaries are leveraging the data that sits in the ecosystems around them—and are applying AI on top of the data to turn it into predictive insights.