DGIQ-W24: An End-to-End Approach to Data and AI Governance

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In today's data-driven economy, organizations are increasingly relying on artificial intelligence (AI) to generate insights, automate processes, and make informed decisions. However, the increasing adoption of AI raises new challenges related to data quality, fairness, and explainability. In this session, you will experience how IBM’s comprehensive Data Governance and AI Governance solutions help ensure understanding, security, and trust of enterprise Data and AI - all with a business-ready analytics foundation that ensures your data is ready for AI and AI is ready for your data.

Speaker: Minh Tran

Minh Tran is a seasoned Data Governance Solutions Engineer at IBM. Minh specializes in designing tailored and holistic data governance solutions to meet the needs of Financial Services clients across North America.

Speaker: Melanie Brunache

Melanie Brunache is a data governance Technical Leader on IBM’s Worldwide Data & AI team. She specializes in implementing data governance practices and technologies across different industries and specializes in Data Quality, Data Lineage, and AI Governance methodologies.

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