Explainable AI: From Theory to Practice With Dataiku

Discover why Dataiku's R&D team chose the path they did for explainable AI features, the tradeoffs between white-box and black-box models, how Dataiku helps data teams build models in a way that is collaborative and sustainable, and more.

Private: Effectively Managing Enterprise-Wide Risk

The age of AI presents additional risks across the enterprise that require a tighter — yet more flexible — governance structure.

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Private: Responsible AI for a Sustainable Data Future

Dataiku is the basis of a responsible AI strategy, ensuring that models are accountable, architecture and infrastructure is sustainable, and data processes are governable.

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3 Keys To Moving Toward White-Box, Explainable AI, by VentureBeat & Dataiku

White-box AI boosts transparency, creates more collaborative data science, and improves trust within businesses and with customers — and it’s getting a lot of attention. Join this live event by VentureBeat & Dataiku to learn how, and why, businesses need to move away from black-box systems to more explainable AI.

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The Buck Stops Here: Creating Systems of Accountability for Responsible AI

Discover how to integrate responsible AI into your organization’s existing AI life cycle and mitigate the risks of misuse and unintended consequences. The conversation includes recommended strategies and methodologies for enacting systems grounded in traceability, transparency, and explainable, human-in-the-loop AI.

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Private: Managing Data Regulation and Privacy Compliance

How can IT organizations scale to meet the demands of the modern AI-powered company?

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