Decision intelligence is one of those terms that sound vaguely familiar, even if you’ve never come across it before. Like many category-defining terms, it can mean different things to different people. This is a feature category-defining terms either have by design, or acquire through extensive use.

Gartner defines decision intelligence as “a practical domain framing a wide range of decision-making techniques bringing multiple traditional and advanced disciplines together to design, model, align, execute, monitor and tune decision models and processes. Those disciplines include decision management (including advanced nondeterministic techniques such as agent-based systems) and decision support as well as techniques such as descriptive, diagnostics and predictive analytics”.

Erick Brethenoux, a distinguished VP analyst on artificial intelligence (AI) data science and decision intelligence (DI) at Gartner, frames DI as, “a practical discipline used to improve decision-making by explicitly understanding and engineering how decisions are made, outcomes evaluated, managed and improved by feedback”.

For the first time since Brethenoux has been involved with AI techniques (for more than 35 years now) there is a word on which everybody (IT, data specialists, process experts, AI engineers, business people, subject-matter experts and even executives) agrees and has an almost similar definition, he notes. That word is decision.

In October 2021, Gartner identified DI as a 2022 Top Trend. Several vendors have identified with that category: Busigence, Domo, Diwo, Peak, Quantellia, Sisu Data, Tellius, Urbint and Xylem, plus Google, IBM and Oracle, to name but a few. Aera Technology is also among them, claiming to have been doing DI before it was called DI.

Read the full article on VentureBeat