... in the AI vendor races? 79% of product teams use GenAI, but under half of customers use AI features. How do I set an AI enterprise and platform strategy that scales value? Adopt new rules to lead, innovate and unlock AI-driven growth. What pricing strategies best align with how customers adopt AI solutions ...
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... Integrate an AI‑powered, mutation‑guided test‑suite‑hardening system. What AI agent architectures, platforms and trends are shaping software engineering? Understand how agentic AI technologies, platforms and practices are maturing. How can we measure and improve developer productivity gains from AI? Improve ...
... Understanding How the Future is Likely to Evolve Using data and AI to drive future expansion The company Large Logistics Organization Function Information Technology Size $80B+ revenue The challenges Improving operational efficiency using AI-driven delivery routing Exploring monetization of vehicle-acquired ...
... Access Insights Already a Gartner client? The generative AI model market is maturing rapidly as enterprises deploy commercial foundation models. This Magic Quadrant evaluates key model providers to help AI leaders navigate frontier innovation, openness and cost-performance trade-offs. Market Definition ...
Analyst(s): Leinar Ramos | Mike Fang | Radu Miclaus | Birgi Tamersoy | Chirag Dekate
... Agentic AI Reveals The focus is shifting from excitement about AI agents to understanding how agentic AI technologies are maturing. By Rajesh Kandaswamy | April 15, 2026 Gartner Hype Cycle™ for Agentic AI report helps leaders make sense of one of the fastest-moving areas in AI. As interest in AI agents ...
... How AI Is Reshaping the Memory Market Through 2030 Gain critical insight into how AI infrastructure growth is reshaping the memory market. As AI adoption accelerates, demand for memory technologies is creating significant shifts across the semiconductor ecosystem. From surging server DRAM requirements ...
... Preparing Supply Chain Planners for the AI-Enabled Future Technology alone won’t deliver AI value. Supply chain planning (SCP) leaders must prepare planners with the skills, mindset and confidence needed to succeed in an AI-enabled environment. July 27, 2026 The AI readiness gap in supply chain planning ...
... the next layer of lock-in. AI safety is more than AI model regulation AI is not a monolith. The full AI ecosystem must be understood to manage AI safety. Complete AI safety evaluations must include data, models, harnesses, APIs, multiagent systems and agentic swarms, and the AI supply chain. Cybersecurity ...
... responsible, scalable AI adoption across the enterprise. This roadmap will help you: Establish governance practices that enable trusted, responsible AI across your data and analytics initiatives. Balance AI innovation with trust, risk management, security and compliance requirements. Scale AI adoption with the ...