Machine learning

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.