Machine learning

Northside Hospital in Atlanta is adopting machine learning technology to enable the organization to predict when insurance companies will end payments.

It need not (in fact it should not) be an overly complex burden that adds controls and obstacles to getting things done, but a practical thing, designed to proactively manage the data that is important to your organization.

Atidot, Galaxy.AI, PHR Plus, Traffk and Zesty.ai are among the top innovators for intelligence-based technologies to improve accuracy and automate decisions, says a new Gartner report.

AI has the potential to make our lives safer and easier, if we train the systems to be inclusive and use them wisely.

To reap the full benefits of AI, there’s an entirely different type of AI we should be exploring that’s been largely ignored. It’s specialized (or augmented) intelligence systems.

Artificial intelligence is being hailed for its ability to improve internal processes and enhance customer experiences, but opportunities to use the technologies have been slow to take hold.

Here are some changes - attitudinal and operational - that organizations need to undertake today to get the most out of ML and AI in the near future.

Director of the former RiskBlock Alliance discusses name change and expanded digital focus including IoT, AI and analytics.

Two recent articles in highlight the simultaneous offer of promise and peril that AI brings. One article describes the meteoric rise of a start-up; the other the failure of another.

The National Institute of Standards and Technology is seeking industry input on ways to develop standards for artificial intelligence.

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

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

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.

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.