Articles

Remember Sophia, the humanoid that appeared on the late-night show with Jimmy Fallon?

With the heavy emphasis on digital transformation, software buyers are actively seeking out products that have artificial intelligence embedded within the applications for a number of reasons.

If you use a smartphone, you probably have come across narrow AI.

Of all technologies that impact customer experience (CX), few have as immediate or obvious an effect as artificial intelligence (AI).

Artificial general intelligence (AGI) could be the best or worst thing ever happening to us.

Instead of giving credence to fear-mongering books and films about artificially intelligent beings taking over the world and turning on humans (The Terminator, anyone?), it’s time we took a hard look at the proven benefits and potential risks of some real-world applications of artificial intelligence. 

Imagine a world where your business anticipates market trends before they emerge; healthcare predicts diseases before symptoms, and your personalized assistant handles your daily schedule.

Artificial intelligence (AI) has proven useful to financial services institutions in multiple ways. From detecting potentially fraudulent charges to automating complex credit and loan processes, AI-powered fintech has proven invaluable when it comes to internally engineering value for financial services institutions.

“You’re going to have to deal with [diversity] whether you want to or not,” Jarik Conrad, senior director of human capital management (HCM) innovation for Ultimate Software told a group of rapt attendees at one of a handful of sessions on diversity during this year’s HR Tech.

Artificial intelligence (AI) has woven itself into the fabric of many types of software by leveraging data to produce relevant insights and carry out repetitive tasks; and financial research software is no exception. AI for financial research  Financial research software aggregates data and documents on user-selected topics for analysts to use in their investment selection process. Financial services professionals use this software to properly vet investments based on the amount of acceptable risk. AI is instrumental in reducing the amount of time needed to aggregate relevant information and data from reputable sources and make sound investments.