... of CIOs say their enterprise will deploy AI agents within the next year, the market opportunity is not distributed evenly across industries. CPOs who focus on the most attractive verticals and differentiate with vertically packaged solutions can multiply their AI revenue opportunity by two to five times ...
Analyst(s): Ron Burns
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... Access Insights Already a Gartner client? Simulation has emerged as a foundational capability in the design, evaluation, and continuous improvement of AI agentic systems. Product leaders should differentiate their agent development platforms by building simulated testing environments to reduce initial ...
Analyst(s): Evan Zeng | Vibha Chitkara | Aapo Markkanen | Walker Black | Danielle Casey | Radu Miclaus
... trends Oracle’s new agentic AI applications and private agent factory aim to be grounded in enterprise context, content, security and governance, rebutting competitors. Enterprise application, AI and data leaders should assess the impact, which predominantly affects Oracle’s AI Database and Fusion environments ...
... Insights Already a Gartner client? With the high fragmentation of context across enterprises, AI agent orchestration needs to tap into MCP servers to gather, aggregate, interpret and make context actionable for AI agents. Product leaders of applications that capture relevant context for the enterprise can ...
Analyst(s): John Santoro | Nicholas Carter | Radu Miclaus
... collaborates with leaders like you to drive key outcomes. You may also like: Webinars on AI, tailored for CIOs, led by Gartner analysts. Redesign the IT operating model To reimagine the IT operating model (OM) in an AI era, CIOs must transcend traditional cost-saving measures. The future lies in an adaptive ...
... client? To meet modern AI sourcing demands, SPVM leaders need stronger technical, strategic and leadership skills: AI fluency, data governance, agile contracting and risk/ROI assessment. Deeper cross‑functional collaboration and continuous upskilling enable faster, smarter AI sourcing. Analysis Gartner ...
... Access Insights Already a Gartner client? AI application development platforms enable software engineering leaders and their teams to build AI assistants, agents and multimodal applications, but the capabilities provided by these platforms vary widely. Use this research to determine which platforms are ...
Analyst(s): Mike Fang | Cary Pillers | Jim Scheibmeir | Steve Deng
... Access Insights Already a Gartner client? AI infrastructure investment is surging, characterized by a precautionary principle that costs of potential undercapacity are viewed as far greater than the risks of overinvestment. Product leaders must understand the warning signs and prepare for the risk of ...
... the vast majority (82%) of non-RDBMS functionalities will be incorporated into modern RDBMS platforms. This will allow RDBMSs to support nearly all AI and non-RDBMS use cases, making the intricate “polyglot persistence” architecture unnecessary for the general market. Overview Analysis Gartner Recommended ...