This 45-minute session explores how generative AI is reshaping data stewardship—balancing innovation, compliance, and ethical responsibility. Attendees will examine how AI-driven tools can support data governance practices such as metadata creation, data classification, and quality assurance, while also introducing new challenges around transparency, bias, and data provenance. Through practical examples and current frameworks, the session will highlight strategies to integrate generative AI responsibly into existing data management ecosystems. Participants will leave with actionable guidance on aligning AI use with organizational policies, regulatory standards, and the principles of trustworthy data stewardship in an evolving digital landscape.

Speaker: Nakul Bijoor, Business Technology Manager, ZS Associates

Nakul Bijoor is a Business Technology Manager with ZS Associates and brings more than a decade of experience in the space of Enterprise Data Management (EDM). Based out of the Greater New York City area, he is an Enterprise Data Management and Strategy Subject Matter Expert (SME) with a focus on delivering Master Data Management(MDM), Data Quality(DQ), Data Governance(DG), and Data Architecture(DA) solutions to clients in alignment with converting their business strategies into measurable outcomes through innovative data-driven solutions.

Nakul has a personal passion for exploring data-backed solutions for their clients, in the dynamic environments that they exist in, through the testing of new technology-backed methods leveraging smart contracts, RPA, AI, etc.

He has a career built in the professional services business and technology management realm with demonstrated success in meeting various business objectives through the creative and efficient use of data for numerous large-scale organizations.