Explainable AI: From Theory to Practice With Dataiku

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Presented by

Christina Hsiao, Sr. Product Marketing Manager and Du Phan, Research Scientist at Dataiku

About this talk

Explainable AI has become a powerful mitigating force that enables modelers, regulators, and laypeople to have more trust and confidence in machine learning models. However, it’s not always easy for data scientists to implement models that are explainable. In this webinar, Dataiku’s Christina Hsiao, senior product marketing manager, and Du Phan, research scientist, will discuss fairness and explainability concepts both generally and in Dataiku. They will also discuss the research and reasoning behind why Dataiku’s R&D team chose the path they did for the features developed, the trade-offs between white-box and black-box models, and how Dataiku helps data teams build models in a way that is collaborative and sustainable for the business.
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Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.