Typically, nonprofits are at a technical disadvantage, often running dated and cheap or free systems, said Alan Pelz-Sharpe, founder and principal analyst at Deep Analysis.

“As [machine learning and AI] take hold over the coming years, that gap will grow further,” he said. “So, there is no doubt that there is a need to help them to bridge that gap. The merger in that regard makes a great deal of sense.”

Still, Pelz-Sharpe noted, machine learning and AI are increasingly bundled with and embedded in standard business applications; Google and Microsoft, for example, build the technologies into their office suites.

We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you are happy with it.

Work Intelligence Market Analysis 2024-2029