... An AI governance platform is an emerging market designed to centrally define, approve, and enforce responsible AI policies across comprehensive AI use cases, applications, and agents. They provide foundational capabilities to centralize the implementation of AI policies and controls across a variety ...
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... 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 ...
... AI gateways are essential components for managing how AI agents access both AI models and Model Context Protocol servers. Software engineering teams should implement AI gateways to enforce policies for AI model routing, load balancing, data protection, cost visibility, security, and identity controls ...
Analyst(s): Keith Guttridge | Shiva Varma | Andrew Humphreys
... CAEs face pressure to demonstrate AI’s value. Efficiency metrics alone are insufficient and miss AI’s complexity. To assess AI’s full impact, CAEs should define AI objectives, embed use cases across audit workflows and track AI’s impact using a balanced set of outcome metrics. Insights at a Glance Issue ...
Analyst(s): Gleb Zhukov | Devanshu Mehrotra | James Bourke
... AI spend will double by 2030, yet AI costs are already spinning out of control. Leaders responsible for AI can use this research to rein in AI spend by reducing waste, improving performance and reallocating investment into tangible business outcomes. Contributors Note 1: Average Spend on AI Initiatives ...
... Use this data interactive to explore employee AI sentiment. Executive leaders can leverage these insights to see how enthusiasm for AI’s possibilities directly boosts utilization, allowing leaders to focus on building positive outlooks rather than just mandating tool usage. Data Insights Directions for ...
... Enterprise architects must actively safeguard AI initiatives as conventional risk methods are inadequate for addressing emerging AI risks. Establishing an AI risk register is essential to identify, assess, and manage AI-specific risks, ensuring responsible and secure AI adoption across the enterprise. Insights ...
... Your old structure can’t bring AI value without a redesign. AI is about to reshape your organization, shifting the focus from “who does the work” to “what work needs to be done for value.” Executive leaders must balance new needs for flexibility with strong governance, leadership and efficient team connections ...
... SAP’s AI strategy is focused on delivering the “Autonomous Enterprise.” Its Joule brand represents a range of capabilities from AI assistants and intent-driven experiences, to agent development and orchestration. SAP is making significant investments to infuse AI into SAP applications to help customers ...