... a Gartner client? As nation-states advance sovereign AI ambitions, enterprises must grasp the opportunity. To safeguard sensitive markets, leaders responsible for AI must deploy a repeatable, event‑driven operating model that translates sovereign AI signals into investment, architecture and sourcing decisions ...
Analyst(s): Priya Sundararaman | Lydia Clougherty Jones
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... Access Insights Already a Gartner client? AI model and agentic AI implementation is moving from static compliance to real-time security, vertical specialization, and value quantification. To secure a strong competitive advantage, product leaders should merge governance, data lineage, and cybersecurity ...
... Siloed operations tools and a lack of trust in AI’s output are the two key impediments to productionizing and scaling AI projects. These impediments create an emerging AI operations management market with a potential addressable market value ranging from $122 billion to $171 billion by 2029 for tech ...
Analyst(s): Soyeb Barot | Pankaj Prasad | Arup Roy
... a Gartner client? The agentic AI era is leading to an architecture shift with CPUs regaining prominence as system-level orchestrators rather than execution engines. Product leaders must rethink CPUs as control plane managers, supporting tool execution and distributed AI workloads, while also optimizing ...
... directed its agencies to accelerate enterprise adoption of AI capabilities in January 2026. Product leaders must refine product and go-to-market strategies to capture growth opportunities in the DoW’s ambition to stay ahead of the competitive global AI race. Insights at a Glance Issue Context Impact Brief ...
... Access Insights Already a Gartner client? Many AI literacy programs are struggling to drive adoption and impact. Leaders responsible for AI must redesign programs around persona- and role-based curricula, active and applied learning, supported educators, realistic leadership expectations, and continuous ...
... The impetus to become an AI-first enterprise prompts an all-hands-on-deck flurry of AI-related activities, with many stakeholders vying for influence over the AI strategy. Heads of enterprise architecture must co-create an AI alliance to unify stakeholders on a centrally defined strategy and value realization ...
... AI agents are set to rapidly transform buying journeys, but recent events like Moltbook highlight security risks and unpredictable behaviors linked to their rise. To explore the potential of AI agents and bring innovative influence strategies to market, marketing needs a secure environment with access ...
... external data or lose the race for AI differentiation to hyperscaler giants. Real AI advantage emerges only when external data reshapes predictions and decisions. Providers have a significant opportunity to find unique combinations of external data that can differentiate their AI agents and resulting outcomes ...