... Most D&A leaders do not have a D&A operating model that will enable AI solutions at scale. D&A leaders must urgently revise three foundational capabilities: resource allocation, D&A architecture and AI-powered delivery models. Insights at a Glance Issue Context Impact Brief More Detail Contributors ...
Analyst(s): Soyeb Barot | Michael Gabbard | Adam Ronthal | JC Martel, PhD
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... Digital tokenization should be used for sustaining critical AI operations in the face of regulatory and geopolitical challenges, such as evolving data residency laws and cross-border data restrictions, ensuring that AI initiatives remain resilient and future-proof. Insights at a Glance Issue Context ...
... HR teams are expanding AI use in performance management, building best practices and exploring new, sometimes controversial, applications. Leaders must weigh the benefits and risks of each use case to prioritize those with the highest value for their organization at this time. Gartner Insights Abstract ...
... just optimizing AI infrastructure or tokenomics, it’s a strong step toward offering an alternative to leading GPU-based solutions. Product leaders will find that, unlike training, AI inference compute solutions will be a fragmented market, with myriad options each optimized for specific AI workloads. Overview ...
... Enterprise AI adoption is increasing and requires more robust ways to drive central governance oversight and apply risk management frameworks. To ensure AI governance controls are applied, D&A leaders must act on the trend for AI governance platforms to enhance programs and maximize the value of data ...
Analyst(s): Diarmuid Curran | Robert Thanaraj | David Pidsley | Sumit Agarwal | Lauren Kornutick
... Scaling AI across campuses requires clean, governed data. This document provides K-12 and higher education CIOs with actionable steps to develop AI-ready data infrastructures, focusing on use-case prioritization, data architecture modernization, and metadata management to enhance student outcomes. Insights ...
... Gartner client? AI coding agents are rapidly gaining popularity, but will not follow your architectural principles and patterns unless explicitly directed. Architecture-as-context is an emerging set of practices that software architects and engineers must apply to improve the quality of AI-generated software ...
... Modernizing legacy ERP is time‑consuming and costly, and vendors are not retrofitting legacy ERP with the latest AI capabilities. This research helps CIOs with practical strategies to integrate modern AI technology into their existing ERP environments and advance their modernization roadmap. Insights at a Glance ...
... Since AI usage during customer interactions has now become pervasive, the popular “this call may be monitored or recorded” disclaimer is misleading. This research guides customer service and support leaders on updating disclosure and extending its reach in the AI era. Insights at a Glance Strategic Planning ...