... This benchmark presentation provides the complete findings of our 2019 “Evolving Roles and Responsibilities for EA Groups” survey. EA and technology innovation leaders can use these findings to benchmark and develop EA strategies and an operating charter for their respective functions. Overview Direct ...
Analyst(s): Enterprise Architecture Research Team
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... Agile data science emphasizes incremental delivery of value when exploring data, creating actionable insights, and building advanced analytics and AI-enabled/AI-powered/AI-native products. Data scientists must apply agile practices to increase business agility and deliver better outcomes. Overview Analysis ...
... To equip AI leaders with the resources to build a roadmap for preparing their organizations for AI from a data perspective, so they can assess, prioritize and advance data readiness. Outcome Suggested Partners Step 1 Step 2 Step 3 Gartner Insights Abstract ...
... Agentic AI AI-Ready DataData Engineering Capabilities Data Sharing Financial Predictability Management, Admin and Security Metadata, Semantic, Context Mgt. Open Source and Standards Support Performance Predictability Real-Time Insights Data Warehouse Modernization AI Data Foundation Data Integration Modernization ...
Analyst(s): Masud Miraz | Aaron Rosenbaum | Xingyu Gu | Prasad Pore | Michael Gonzales | Robin Schumacher | Ramke Ramakrishnan
... Insights Already a Gartner client? Data masking has traditionally focused on masking of structured data. LLMs now drive demand for unstructured data masking and synthetic data. Regulatory updates demand defensible metrics for re-identification risk of the provisioned data. Insights at a Glance Market Outlook ...
Analyst(s): Anson Chen | Joerg Fritsch | Andrew Bales
... defined initiative or as an embedded capability. AI-ready data reflects initiative-driven use cases, while data teams increasingly use AI directly in their daily work. This distinction matters because data teams are often trying to apply AI-ready data guidance in situations where it does not fully apply, ...
... AI agents are shifting analytics from a manual, reactive discipline toward autonomous, proactive, and outcome-led modes of analysis. Data and analytics leaders must explore agentic analytics to enable faster, more reliable decision making by transforming analytics into a proactive driver of business ...
... Heads of enterprise architecture can use this diagnostic to execute a prioritized talent development plan — identify critical architecture team skills gaps, assess team performance, and receive a personalized report with targeted development recommendations and resources. Overview About the Tool and ...
... through compelling, data-driven stories that influence decisions •Translate complex data into clear narratives that resonate with business leaders •Understand the role of context, narrative and visualization in effective data storytelling •Explore how emerging technologies can help scale data storytelling across ...