Machine learning

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.

For upstarts, these represent opportunities to disrupt the old guard; for established firms, these approaches can stave off new competitors.

One of the top data and analytics technology trends this year will be the ongoing growth of natural language processing and conversational analytics, according to research firm Gartner Inc.

As clever as artificial intelligence may seem, it does not duplicate the human brain, learn on its own or operate free from human bias.

Those organizations that haven't given thought to AI investments run the risk of quickly losing competitive advantage, consultancy says.

Companies that have vast amounts of data can easily step into the space and start competing with insurers. Here's how to dodge the threat.

The coming year is expected to be a crossroads for the industry. Here's what to look out for to see what's next.

U.S. companies are increasingly adopting new data analytics tools, including cloud-based business intelligence services and machine learning services, to leverage and monetize their information.

By 2022, 90 percent of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.

Expert System's Cogito will help automate processing of engineering reports for underwriting.

Digital twins, edge computing and decision automation are among the hottest trends expected to impact artificial intelligence adoption this year.

The company's T-HR3 could one day serve as arms and legs for the bedridden, or as a surrogate for relief workers in disaster zones.

Artificial intelligence and machine learning have become essential for organizations to stay competitive. But adoption is lagging even among key decision-makers championing change.

Technology must simply be one of the ways we create a seamless and positive customer experience.

Here are the areas companies need to focus on in 2019 to be ahead of the competition when it comes to AI, according to the consulting firm PwC.

Chief data scientist Joseph Byrum discusses recruitment and making the business case for advanced data applications.

The insurance industry is a leader in having a shared digital vision to meet digital business aspirations, but there is much to be done, when it comes to rethinking the business model and institutionalizing digital capabilities.

Organizations that focus their efforts in six key areas will be far ahead of other businesses at this time next year, says PwC.