... Develop a more focused approach to identifying highest-value data analytics opportunities within audit. Outcome Suggested Partners Step 1 Step 2 Step 3 Step 4 Gartner Insights Abstract ...
Analyst(s): Eren Fry
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... By implementing adaptive governance and automated conflict resolution, heads of enterprise architecture can scale agentic AI safely and mitigate shadow AI risks, turning system conflicts into opportunities for operational efficiency and business value. Insights at a Glance Strategic Planning Assumptions ...
... AI-powered data visualization allows users to create and customize role-tailored, visual insights of key business metrics that support decision making. CFOs should reference this implementation guide as they assess, pilot, and operationalize this AI use case. Gartner Recommended Reading Gartner Insights ...
Analyst(s): Twisha Sharma | Matthew Mowrey | Alex Levine | Ash Mehta
... Brief Architecture Use Case(s) Architecture Diagram Architecture Capabilities & Components OT Devices With AI Capabilities Edge AI Accelerators Edge AI Platforms Cloud AI Capabilities Data Hub Key Architecture Principles & Patterns Key Architecture Recommendations Gartner Recommended Reading Gartner Research ...
Analyst(s): Avinash Dev Nagumanthri | Sushovan Mukhopadhyay | Mohini Dukes
... Technology can simplify or even automate data modeling. Surprisingly, such simplification increases the need for manual data modeling in contexts like data governance and requirements gathering. Data architects should change modeling skills and practices accordingly. Overview Analysis Guidance Gartner ...
... The top data and analytics (D&A) predictions for 2025 emphasize Gartner research's perspective on the future impact of D&A technologies, innovations, trends and related business and public sector developments. These predictions outline how these factors will influence the future landscape for CIOs, D ...
... Finance’s legacy data systems and manual processes create friction in the flow from data to decision, slowing finance’s AI readiness. An AI-automated finance data supply chain reduces this friction by delivering AI-ready data, improving decision support and allowing AI agents to operate effectively. ...
... governance, D&A leaders must identify and define the data owner role properly to maximize their contribution and minimize their effort. Organizations that establish data ownership effectively will increase data quality and compliance for mission-critical data. Insights at a Glance Impact Brief Actions and ...
... because of limited data access, metadata collection, and siloed platforms. CFOs will need to shift to productized data flows, integrated data platforms, and localized data engineering to scale AI. Insights at a Glance Impact of AI-Ready Data Bottlenecks Actions to Build AI-Ready Data Foundations Cautions ...