CData

CData Connect AI adds MCP-based connectivity, context, and governance to AI agents built in Microsoft Copilot Studio and Agent 365, enabling secure access to live enterprise data at scale.

AI is forcing businesses to modernize data architectures. CData’s e-book outlines six pivots to scale AI-driven products.

Model Context Protocols (MCPs) standardize secure, real-time access for AI agents to enterprise systems. MCP features such as plug-and-play integration, real-time monitoring, and scalability become a differentiator as businesses embed AI into core workflows.

Despite investment in AI copilots, many enterprises' lack of robust data infrastructure hampers their ability to derive sustainable ROI from AI initiatives, with only 6% of organizations considered genuinely AI-ready due to fragmented data systems.

We explore how a steel manufacturer wrangled disparate data with the help of an independent semantic layer from CData.

Integrating ERP data with Snowflake is challenging due to architectural misalignment and the absence of pre-built connectors, necessitating custom solutions that complicate maintenance and delay insights, but CData offers pre-built connectors to streamline this process and enhance operational efficiency.

ERP systems protect vital financial data essential for FP&A teams, but integration into modern analytics platforms like Databricks and Snowflake faces challenges due to a lack of connectors, the need for a unified data view across various systems, and the necessity for real-time data access, prompting the emergence of solutions like CData to streamline this integration while enhancing operational efficiency, data utility, and security.

Mid-market organizations struggle with fragmented data across systems without dedicated IT support, but by integrating CData Sync with Microsoft Fabric, they can centralize and automate data management, significantly reducing manual effort and improving analytics for better strategic decision-making.

Data-driven organizations like NJM Insurance Group significantly enhance their decision-making and profitability by overcoming data silos through efficient integration solutions like CData Sync.