WHY AI PROJECTS FALL SHORT AND HOW TO TURN THE T*AI*DE
2024-02-01
Most statistics in the industry indicate that a significant numbers of AI projects are not generating ROI. In this presentation, Media.Monks experts Julien Coquet and Ahmed Tarek will discuss common errors and pitfalls encountered in AI project: using ML model out of context to the business model, no clear activation strategy, data quality and consistancy issues, lack of infrastructure to deploy models, no MLOps or model monitoring after deployment, etc.). Julien and Ahmed will offer solutions to these pAIn points.