Janis Klaise

Janis Klaise, a data scientist at Seldon, sheds light on the complexities of model interpretation in AI. He discusses the significance of the Alibi open-source project, designed to make sense of intricate models. Key topics include the integration of Alibi into Seldon’s platform for enhanced explainability, the use of innovative techniques like LIME, and the challenges of deploying machine learning models in real-world scenarios. Janis emphasizes the importance of collaboration between engineering and data science to improve AI's accessibility.