TLDR
There are predictions that more than half of all AI projects will fail to deliver against their expectations. Failure can happen for many reasons, however, there are a few glaring dangers that will cause any AI project to crash and burn. Many of these initiatives come with high expectations but AI projects are far from fool-proof. Data literacy is also a major challenge as different people have a different understanding of the data field. AI explainability is becoming more and more important but we need to manage the trade-off between accuracy and explainability.via the TL;DR App
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Written by ankit-rathi | Data & AI Architect | ankitrathi.com/youtube
