Quim Coll’s Post

View profile for Quim Coll, graphic

Lead Data Scientist | AI |

"Only about 5% of GenAI projects lead to significant monetization" As stated by a recent Stackoverflow's blog post, most of GenAI initiatives never actually make it into production. According to a Harvard Business Review article there could be three main reasons for that: 1️⃣ Companies are still figuring out the previous generation of AI tools. Plenty of companies are still figuring out how to integrate “traditional AI” (that is, non-generative AI; tools like machine learning and rule-based algorithms) into their business operations. 2️⃣ GenAI is designed for very specific use cases. GenAI is not only much more complicated than traditional AI; it’s also designed for highly-specific use cases. Business cases for GenAI are not necessarily easy to find, and GenAI won’t always deliver benefits worth the cost. 3️⃣ We don’t know what we don’t know. The long-term implications of GenAI, including costs and the effects of regulation, are still unknown. Sources: https://lnkd.in/dgUt8Ds4 https://lnkd.in/ddPcg4Tv #GenAI #stackoverflow #AI

Why do only a small percentage of GenAI projects actually make it into production?

Why do only a small percentage of GenAI projects actually make it into production?

stackoverflow.blog

To view or add a comment, sign in

Explore topics