... Operationalizing agentic AI is impossible when data quality, governance and usage requirements are not clearly defined. Data and analytics leaders must formalize expectations through data contracts, creating machine-enforceable commitments that certify the consistent delivery of data products for AI and analytics. ...
Analyst(s): Michele Launi | Thornton Craig | Rahael Cherian | Michael Simone | Robert Thanaraj
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... Protecting sensitive data within AI’s retrieval-augmented generation pipeline requires balancing data utility with robust sensitive data security controls. Security architects should use this research to implement data security controls across RAG AI pipelines. Overview Analysis Guidance Gartner Recommended ...
Analyst(s): Sumit Agarwal | Dennis Xu | Mike Huskey | Anthony Carpino
... Many CMOs know the enterprise AI data fabric is coming but have no plan to join it. The fabric is the infrastructure. Marketing’s data mesh is how marketing takes part. Productize your customer data, set your data contracts (the gives and gets), and field agentic AI to stay in the decision loop. Insights ...
... The effective deployment of data agents requires an understanding of core cost drivers, use cases and infrastructure demands. Data and analytics leaders should use this methodology to classify data agents by expected cost and value impact to prioritize their agentic data and analytics deployments for ...
... their revenue in data, context, governance and security than their peers. CFOs must move beyond application-led spending to investing in their data foundation and funding new capabilities for AI orchestration, governance and control. Insights at a Glance How Technology Architecture Is Evolving for the ...
... Access Insights Already a Gartner client? Data integration is often viewed as a cost, obscuring its critical role in enabling analytics and AI. D&A leaders must adopt this cost optimization framework to advance their data integration maturity, reduce AI data costs, and demonstrate business value. Gartner ...
... Master data management solutions support identification, synchronization and monitoring of master data, and enable rectifications to ensure its consistency and accuracy. This note guides data and analytics leaders to learn from ratings and reviews shared by their peers on Gartner Peer Insights. Overview ...
... roles and expectations for a data quality program using a simple RACI matrix is challenging due to the complex dependencies and priorities of the stakeholders involved. Data and analytics leaders can use this RASCI matrix to set expectations and accountability for their data quality programs. When to Use ...
... Today, the typical privacy function spends only 7% of its time managing third-party risk. However in the wake of Facebook's Cambridge Analytica scandal, many executives are asking the same question: What does this mean for my organization? Use our discussion guide to talk with your board about where ...