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Webinar

Data Integration Demystified: Enabling AI-Driven Interoperability

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About the Webinar

Modern companies face integration challenges. A successful data integration result is essential for achieving true interoperability, especially when you’re looking to leverage artificial intelligence. The program will explore how three core components work together:

  • Metadata: Metadata is not just a technical detail – it’s the foundational language (common vocabulary) that provides context and clarity for your data.
  • Cloud Computing: We’ll discuss how moving to the cloud isn’t just a technology shift. It requires a new data strategy to make sure you’re taking full advantage of the scalability, agility, and cost-effectiveness of cloud services without creating new risks.
  • Data Warehousing: We’ll examine how data warehousing transforms messy, raw data into a consistent, high-quality information asset – a must-have for advanced analytics and AI applications.

By bringing these three disciplines together, your organization can move past fragmented “point-to-point” systems and build a strong, cohesive data architecture.  An AI-based approach will be illustrated.  

About the Speakers

Peter Aiken
Peter Aiken Professor of Information Systems, VCU and Founder, Anything Awesome

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.

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