Paige Bartley is a senior research analyst at 451 Research from S&P Global Energy Horizons. She leads data management research within the Data, AI & Analytics channel and frequently contributes to the Information Security channel. Covering the technologies that compose the “plumbing” of the data and analytics stack, Paige examines the flow and control of data within organizations, as well as how organizations can better align their business functions and technology. Paige also specializes in data privacy operations (PrivacyOps) and data governance, particularly regarding how these initiatives can be linked to customer experience and profitability outcomes. Other areas of concentration include AI, data integration, metadata management, data quality and data observability, and master data management. Broader concepts include enterprise data culture, digital rights and data ethics. Paige came to S&P Global Market Intelligence through its 2019 acquisition of 451 Research, which she joined in 2018. Prior, she held a senior analyst role with Ovum (now Omdia), researching similar topics in enterprise data management and analytics. She began her career on the vendor side, working in marketing and strategy for an unstructured data governance specialist. Paige holds a BS in psychology and neuroscience from Duke University and a Master of Management (MMS) from the Duke University Fuqua School of Business.
The company is positioning its master data management as an intelligent data product layer built for AI agents: exposing trusted, governed data to LLMs and agentic workflows via an MCP server while keeping quality and lineage controls intact. As AI adoption scales, enterprises need a dedicated governed data layer, not just cleaner pipelines.
Data brokers collect and sell personal information as a business model. They do not have a first-party relationship with the individuals that personal data is collected from. Yet in California, residents are getting new rights to bulk-remove personal data from these data broker ecosystems. Implications for AI could be significant.
Analysis of our Voice of the Enterprise: Data & Analytics, DataOps 2026 survey suggests that an organization’s ability to adopt and benefit from agentic AI in DataOps practices is linked to existing DataOps proficiency. DataOps and data management functions provide the foundation of contextual, trusted business data that grounds models and agent behavior. The challenge remains quantifying the material impact of these practices.
The company offers a cyber risk assurance and GRC platform with continuous API-driven control monitoring across first- and third-party risk. As AI governance mandates and data privacy requirements expand the compliance surface, TrustCloud's AI-driven continuous assurance model positions it to address what traditional GRC platforms were not built to handle.
At its annual summit, the company announced major expansions to Unity Catalog and Unity AI Gateway, extending governance capabilities to cover AI models, agents, MCP services and runtime costs. The moves could help Databricks position itself as an enterprise AI governance platform and accelerate its open-source strategy.
The company helps businesses achieve certifications with minimal manual effort, via compliance automation. Yet new AI-related requirements and business drivers have arisen. Drata has since expanded into broader capabilities spanning governance, risk, third-party risk management and compliance assurance.
New Alert Set
"My Alert"
Failed to Set Alert
"My Alert"
Here are a few tips for navigating our Research.
Quickly access any of our research and data products.
Browse the research & data that aligns with your specific interest.
Discover new and more flexible ways of finding relevant content.
Set notifications for the topics & companies you care about most.
Access any page in the dashboard from here.
Hand picked content for you and your team.
