It is a well-known fact that most (Gen)AI projects fail to deliver any return on investment (ROI) [1]. The reasons behind this are multifaceted. One fundamental reason is the pursuit of suboptimal, and at times entirely inappropriate, use cases.

There exist several frameworks when it comes to identifying suitable use cases/ventures in the traditional world. One such simple framework is I.C.E - Impact x Competition x Effort. A similar framework tailored for the realm of (Gen)AI use cases is notably absent. 

To address this particular reason, in this talk, we formally introduce “AI-GOLD” - a comprehensive framework to identify the most suitable use cases for AI in industry.

AI for industrial use cases possesses unique intricacies, necessitating the consideration of numerous additional dimensions.

Takeaways

• A concrete yet simple framework to identify the most suitable (Gen)AI use cases.
• We will see why traditional frameworks like ICE fail nig time when applied to (Gen)AI scenarios.
• AI tailored for industrial applications comes with distinctive complexities, demanding the evaluation of various additional aspects.
• Understand AI GOLD framework in detail and see it how it overcomes the shortcomings of other frameworks.
• We will also go over a case study, applying the framework to a real world scenario.

Note: This will fit very well with the use case track (Track 3)

Thanks
Anuj Gupta
Founder & CEO, Gradient Advisors
https://www.linkedin.com/in/anujgupta-82/