More from this series:
- Data Governance/Stewardship in Action: Governing AI’s Data for Long-Term Value
- Data Quality by Design: Ensuring Reliable Inputs for AI Systems
- Metadata Matters: Powering AI Data Discovery and Context
- Data Warehousing Reimagined: Fueling AI-Powered BI at Scale
- Mastering Reference Data: An AI Essential for Reliable Business Information
- AI-Powered Data Modeling Essentials
About the Webinar
Quality engineering and architecture work products don’t happen by chance. As your organization increasingly relies on automation, the significance of the data models driving your engineering and architecture efforts grows. This webinar explores how AI is transforming the fundamentals of data modeling—a critical activity underpinning significant technological and business investments.
About the Speakers
Peter Aiken, Ph.D. is an acknowledged Data Management authority, an associate professor at Virginia Commonwealth University, president of DAMA International, and associate director of the MIT International Society of Chief Data Officers. For more than 40 years, Peter has learned from working with hundreds of Data Management practices in more than 30 countries. Among his 13 books are the first on making the case for data leadership (CDOs), the first focusing on data monetization and modern strategic data thinking, and the first to objectively specify what it means to be data-literate. International recognition has resulted from these and a (pre-Covid-19) intensive worldwide events schedule. Peter also hosts the longest-running Data Management webinar series on dataversity.net. Before Google, before data was big, and before Data Science, Peter founded several organizations that have helped more than 200 businesses leverage data – specific savings have been measured at more than $1.5 billion. His latest venture is Anything Awesome.
