DGIQ-E23: AI Data Governance: What Is Needed To Ensure Trust in Your AI/Analytics Agenda?

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AI (artificial intelligence) is bringing new levels of efficiency, insight, and productivity to business, and we are just getting started with its incredible potential. However, the real challenge lies in ensuring that the data going into the AI models is comprehensive, accurate, protected, and unbiased.

Furthermore, what is the data coming out of the models and what are the implications? Is it even useful and ethical? Join this discussion to understand the critical level of responsibility for data and business managers and what industry frameworks (such as DCAM, the Data Management Capabilities Assessment Model) – can be incorporated to achieve best practices for data governance for responsible AI. 

Speaker: John Bottega

President, EDM Council

John Bottega is the President of the EDM Council. He began working with the Council as an industry contributor in 2005 and served as Chairman from 2007 to 2014. He joined the Council’s executive team as a Senior Advisor in 2014, took over as the Chief Executive in 2017. John is a senior strategy and data management executive with more than 40 years of experience in the industry. Over his career, John has served as Chief Data Officer in both the private and public sectors, serving as CDO for Citi and Bank of America, as well as for the Federal Reserve Bank of New York, and head of data management for the US Treasury Office of Financial Research (OFR).

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