🚩One of the biggest challenges (even enemy) of Decision Intelligence is itself!
The term “Decision Intelligence” or DI is fancy and open to any interpretation. I just want to go on record here and clear this out!
❌DI is not about #data or #dashboard
❌DI is not about #MachineLearning or #algorithm
❌DI is not about #optimizations or #businessrules
❌DI is not about #Process or #Workflow
In fact, #DecisionIntelligence #DI is about two things: the (1) “Decision” and then (2) “Intelligence”.
How is that any different?
Well…
1️⃣ When it comes to “decision” you have to model decisions explicitly. By the way, the best option for modeling decisions explicitly is DMN, or Decision Model and Notation – the open standard for modeling decisions.
2️⃣ When it is about “intelligence” we are not (necessarily) talking about general intelligence, emotional intelligence, creativity and etc. More often, it is the type of intelligence helping enterprise organizations to operate in a dynamic and regulated environment and produce quick, accurate, consistent, transparent outcomes (Quick ACT™)
✨I'm giving a presentation at DecisionCAMP 2024 (part of Declarative #AI 2024), which will show more on Decision Intelligence
* How can you get the most from your investment in DI?
* What are the best practices we've seen they paid off?
* What are the approaches to make DI successful across organizations rather than small isolated teams?
➡️You still have time to register here.
Posted here.
Published September 16th, 2024 at 07:30 am
