The 4 main reasons why AI/ML projects fail, and how to overcome them

Dr. Ira Cohen, Co. Founder & Chief Data Scientist at Anodot presents the 4 main reasons why AI/ML projects fail, and how to overcome them. Also explored is an example machine learning project for telco network monitoring, and how success can be best judged.
Anodot is realizing the autonomous network vision by providing CSPs with the ability to monitor service experience. They collect all data types, at any scale, and correlate anomalies across the entire telco stack.
Their end-to-end Service Experience Monitoring Platform detects service-impacting incidents in real-time, helping customers like T-Mobile and Megafon reduce the number of alerts by 90% and shorten their Time to Resolve by 30%.
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