... Organizations have large amounts of metadata, but often do not capture, reuse or link these metadata assets for the purpose of increasing business value. Data and analytics leaders responsible for data management should effectively use metadata to better connect data to business outcomes. Overview Introduction ...
Analyst(s): Thornton Craig
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... You cannot buy reliable AI; you must engineer it. D&A leaders must capture proprietary organizational knowledge to build a sustainable edge. Knowledge engineering builds this edge by codifying this knowledge into the semantic architecture and context layer required to power autonomous AI agents. Insi ...
... threats continue to outpace legacy controls; stronger email security is critical to reduce risk and protect business continuity. This note guides cybersecurity leaders from the implementation experience of their peers shared on Gartner Peer Insights. Overview Peer Lessons Learned Gartner Recommended Reading ...
... Data governance fails not because of missing tools and policies, but because governed workflows result in employee resistance and are often more difficult than workarounds. This research shows technical professionals how to engineer and incentivize adoption of governance and make the governed path t ...
... As AI becomes more embedded in business operations, chief audit executives are under pressure to deliver robust assurance. Chief audit executives can begin by assessing how AI risks affect their organization and choosing an auditing framework that fits the deployment profile and maturity of their AI ...
... Access Insights Already a Gartner client? Evolving from isolated AI use cases to an AI-driven strategy transforms customer service, driving scale, consistency, and ongoing value. This roadmap guides leaders in unlocking the full potential of AI-driven operations across the enterprise. Overview Strategic ...
Analyst(s): Francesco Vicchi | John Quaglietta | Daniel O'Sullivan
... Access Insights Already a Gartner client? The continuous accumulation of technical debt negatively impacts feature delivery, quality and predictability of software applications. Use this research to identify tools that align with your use cases and enable your teams to measure and monitor architectura ...
Analyst(s): Howard Dodd | Tigran Egiazarov | Aaron Harrison
... Behavior, decision paths and workflows of AI agents change due to data, context, prompts and adaptive learning. Software engineers must control agent actions, evaluate outcomes and convert failures into safeguards to ensure reliable, predictable production use of agentic systems. Overview Analysis Reco ...
... engineering attacks, along with organizations’ inability to quantify detection efficacy, demands multilayered email security platforms. This note guides cybersecurity leaders to learn from ratings and reviews shared by their peers on Gartner Peer Insights. Gartner Recommended Reading Methodology Gartner Insights ...