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Data Governance & Regulating Data Privacy w/ NYT

Presented by

Max Gendler (NYT)

About this talk

Talk abstract: Privacy, data governance, and ethics have all become essential topics in a modern data-driven company. But what does all this truly mean and how do you get started with them? As a data governance manager, you regularly get asked what data governance is. By definition, it’s a combination of three things: formalizing behaviors, holding people accountable, and supporting ethics at scale. But what does that really mean and how do you put it into practice? It's easier to think of it as the standardization of work, both the setting of standards and testing for them to ensure that they are applied, while simultaneously getting people to want to do the right thing. In a number of ways, governance is a giant design problem. How can we make the right thing easy? We'll dive into this question and more in this Zoom webinar. Speaker bios: Max Gendler is a manager on the Data Governance Team at The New York Times. He started his career working in business intelligence at an ad-tech startup before moving to the New York Times as a member of the advertising analytics team. He joined the Data Governance team at the beginning of this year after having collaborated with them in his previous role. His main work is focused on helping bridge the gap between tech and policy teams within the organization. Disclaimer: All views, thoughts, & opinions expressed in the webinar belong solely to the panelists, & not to the panelists’ employer, organization, committee, other group or individual.
Dataiku

Dataiku

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Everyday AI, Extraordinary People
Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.
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