Author

Vrushali Sawant
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Data Scientist, Data Ethics Practice

Vrushali Sawant is a data scientist with SAS' Data Ethics Practice (DEP), steering the practical implementation of fairness and trustworthy principles into the SAS platform. She regularly writes and speaks about practical strategies for implementing trustworthy AI systems. With a background in analytical consulting, data management and data visualization she has been helping customers make data driven decisions for a decade. She holds a Masters in Data Science and Masters in Business Administration Degree.

Innovation | SAS Events
Vrushali Sawant 0
What does AI built right look like? Five SAS Hackathon teams answer that question

Here's what separates responsible innovators from everyone else: they ask uncomfortable questions before they build, not after. At the SAS Hackathon, five teams proved this in practice. Working under real-world constraints and problem statements, they didn’t start with frameworks or compliance checklists. They started with three simple questions: For what

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Artificial Intelligence | Innovation | Predictions
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AI governance isn’t a constraint — it’s your competitive advantage

I've seen firsthand how companies often treat AI governance as a necessary evil – something bolted on after innovation, like installing smoke detectors in a finished building. As both a data scientist building models and an advocate pushing for responsible AI practices, I experienced this dynamic daily. The companies winning

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