💣Having impact from Decision Intelligence requires design and preparation.
“By some estimates, more than 80 percent of AI projects fail — twice the rate of failure for information technology projects that do not involve AI.” – RAND.
💡Over the years, I learned several best practices that ensure successful DI projects in designing and implementing complex use cases such as product configuration, dynamic pricing, credit decisioning, fund management, eligibility, fraud detection, and so on.
These practices and patterns are across different stages of the #DecisionIntelligence project, from design and automation to operationalization and monitoring.
🚩We learned them by failing!
If a use case is small, you don't need to worry too much. If it is only one type of logic, such as business rules, that's even way easier.
🚀The real impact of DI lies in its ability to combine multiple techniques, such as #businessrules, #machinelearning, #optimization, and so on. Yet, we still need to make sure not only the outcome models are accurate and consistent but also that the non-functional aspects of the project are in the right shape. DI tends to target more non-technical teams, such as operations, SMEs, BAs, and so on.
So… what should we do to maximize the impact of the DI project?
Join me today at DecisionCAMP 2024 and find out.
https://lnkd.in/gNbYNwTX
Posted here.
Published September 18th, 2024 at 07:30 am
