Overcoming the Challenges of Federated Queries Across Distributed Marketplaces

In the era of data-driven decision-making, organizations must efficiently navigate vast datasets scattered across multiple repositories. Our latest project tackles precisely this challenge: integrating our internal FDAC catalog with public general purpose marketplaces via a federated query system. Challenges in Federated Data Access Federated querying offers significant advantages, but it also presents inherent complexities: Data … Read more

FAME: A Cornerstone for AI Finance

Context Generative AI (Gen AI) is revolutionizing the financial industry, but its success depends on high-quality data. Poor data quality risks flawed models, biased predictions, and financial instability. Data Spaces: A Trusted Environment for Data Sharing The EU’s Data Spaces framework fosters secure, governed data sharing. The Finance Data Space, specifically, promotes collaboration and innovation … Read more

Strategies for Pricing Data Assets in the Era of AI

One of the key tools which enables data trading and monetization in FAME is the Pricing Advisory Tool (PAT). PAT is a web based tool which provides price recommendations for offering data assets on FAME. The PAT leverages transactional data along with textual data and questionnaire based data associated with data assets in Federated Data … Read more