Silwood blogs
Unlocking AI Value: Solving Data and Metadata Challenges in the Enterprise
Many enterprise AI projects stall before they start — not due to bad models, but because the data is unclear, incomplete, or inaccessible. This blog explores how poor metadata discovery in systems like SAP, Salesforce, and legacy apps derails progress — and why modern, automated metadata tools are now essential to AI success.
Read the latest blogs from our team
Overcoming Common Data Challenges in AI Projects
Learn about the data challenges faced by AI projects, including data collection and preparation, and explore how metadata management tools like Safyr streamline the process, reducing delays and enhancing data quality.
Five Reasons Why Your Data Teams Struggle With SAP And What You Can Do About It
Explore the complexity of SAP metadata and the challenges it poses to data projects, and learn how Safyr provides a practical solution for efficient SAP metadata discovery and utilization.
Mind The Gap - Metadata For Data Transformation
Explore the significance of metadata challenges in ERP and CRM systems and how Safyr empowers organizations to streamline metadata discovery and analysis, ensuring successful data transformation projects.
Using Metadata To Solve The Problem Of Your ERP and CRM Data Silos
Discover how Safyr helps organizations unlock the potential of ERP and CRM data by simplifying metadata access, analysis, and integration for data monetization.
Breaking Down JD Edwards Data Silos with Metadata Discovery
Learn how Safyr addresses the challenges of metadata discovery and analysis for JD Edwards EnterpriseOne, helping organizations unlock data insights.
Simplifying Data Management: Tips and Tools for Efficient Data Governance
Discover the challenges of managing data in the modern business landscape and how tools like Safyr offer solutions to simplify data analysis and metadata discovery.