Model Performance Management powered by Explainable AI

Until recently, companies were challenged with deploying one Machine Learning(ML) model into production. Many AI project leaders tried to find a big win that would provide a solid return on investment that would justify the cost and prove the usefulness on ML. Soon, they realised that it’s not realistic to create on big win, and it’s the small wins that truly make machine learning useful.