From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College

In this talk, Dr. Brandeis Marshall will share plausible approaches on how today’s enterprise can construct, support, and sustain inclusivity using data and the power of the Participation, Access, Inclusion and Representation (PAIR) principles.
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Building an Inclusive AI Strategy for Data Democratization

Dataiku believes that the more people are involved in AI processes, the better the outcome. It is the only platform that brings collaboration at every stage, from ETL to model management.

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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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Ethical AI: Inclusivity as a Messy, but Promising Answer

AI technologists must consider the ethical implications of what we’re building. Larry Orimoloye explores AI within a broader discussion of the ethics of technology, arguing that inclusivity and collaboration is a necessary answer.

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Data & Decision Science to Battle Recruiting Bias | TapRecruit

In this talk, Maryam Jahanshahi presents insights from TapRecruit's research program which integrates recent advances in NLP, data science and decision science to identify robust methods to reduce bias in talent decision-making and attract more qualified and diverse candidate pools.

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