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Monte Carlo review
Kunal Bhattacharya
Senior Data & Platforms Engineer at PepsiCo
Improved data health and incident reduction have revealed issues while AI...
Monte Carlo needs to stop their reliance on AI, as it is not going well and is degrading the entire product. They need to find their way back, establish a product roadmap, and have real engineers work on improvements rather than heavily push AI down users' throats. They need to stop relying on AI as heavily as they have been doing, as this...
Monte Carlo review
Patel_Dhulva
Project Superintendent at Teshama Group
Faced alert fatigue yet have improved data quality monitoring and faster...
Monte Carlo's lineage feature has helped me save hours of debugging because its machine learning-driven alerts are incredibly effective. It quickly learns our database behavior and catches anomalies, freshness issues, or volume drops before our downstream users even notice. Monte Carlo helps us catch data errors and broken dashboards before...
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