As organizations are exploring and expanding on their AI capabilities, Chief Data Officers are now responsible for governing the data for responsible and trustworthy AI. This session will cover 5 key principles to ensure successful adoption and scaling of AI initiatives that align with their company?s business strategy. From data quality to advocating for ethical AI practices, the Chief Data Officer?s mandate has expanded to compliance of new AI regulations. Peggy Tsai, Chief Data Officer at BigID and adjunct faculty member at Carnegie Mellon University for the Chief Data Officer executive program, will provide insights into the AI governance strategies and outcomes crucial for cultivating an AI-first organization. Drawing on her extensive experience in data governance and AI, this session will be an invaluable guidance for all participants aiming to adopt industry-leading practices.
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Speaker
Peggy Tsai
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Peggy Tsai is the Chief Data Officer at BigID, a data intelligence platform that leverages AI/ML to discover enterprise data for the protection of privacy, security and data governance. She has over 18 years of practitioner experience in data management, stewardship and governance in the financial services industry. Prior to joining BigID, Peggy was Vice President of Data & Analytics at Morgan Stanley where she helped run the data governance program across the Wealth Management division. She was the Data Innovation Lead in the Enterprise Data Management group at AIG. Peggy also worked at S&P Global Ratings where she held various positions in the Data CoE and Data Services. Peggy has a Masters in Information Systems from New York University and a Bachelors of Arts in Economics from Cornell University. She is an adjunct faculty member at Carnegie Mellon Heinz College for the Chief Data & AI Officer executive certification program. Peggy is also a founding member of the Women Leaders in Data & AI as well as an advisor to several start-up tech companies.
Bio from: Big Data LDN 2024
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