Artificial Intelligence is increasingly playing an integral role in determining our day-to-day experiences. Moreover, with the proliferation of AI-based solutions in areas such as hiring, lending, criminal justice, healthcare, and education, the resulting personal and professional implications of AI are far-reaching. The dominant role played by AI models in these domains has led to a growing concern regarding potential performance drift and bias in these models, and demand for model transparency and interpretability. Model Monitoring has become a prerequisite for building trust and adoption of AI systems in high-stakes domains requiring reliability and safety such as healthcare and automated transportation, and critical industrial applications with significant economic implications such as predictive maintenance, exploration of natural resources, and climate change modeling. In this talk, we will be talking about how Fiddler.AI is building Model Performance Management that solves this problem by continuously monitoring AI algorithms for performance and bias issues and reports actionable insights with explanations to the entire organization. For more information, you can visit www.fiddler.ai or follow us on Twitter @fiddlerlabs.