... AI-focused protocols like Model Context Protocol and Agent2Agent are creating both excitement and confusion in the AI developer community. Software engineering leaders should adopt MCP for context-oriented use cases and hold off evaluating interagent-oriented protocols until adoption is more widespread ...
Analyst(s): Aaron Lord | Gary Olliffe | Keith Guttridge | Andrew Humphreys
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... Access Research Already a Gartner client? AI-RAN promises to integrate the RAN network and AI capabilities on the same hardware platform. While various network systems are available, communications industry technology and service providers must assess present circumstances and the strategic value, which ...
... Research Already a Gartner client? The AI boom in data centers has created a significant gap between semiconductor companies, as seen in their investment, market sentiment, and market valuation. To remain competitive and manage risk, investors must look beyond the AI trend by diversifying the product lines ...
... leaders must reduce project turnaround times and costs, and ensure data scientists focus on high-impact tasks. This can be done by leveraging generative AI for tasks such as code, document and synthetic data generation, feature engineering and model deployment. Overview Introduction Analysis Gartner Recommended ...
... Access Research Already a Gartner client? AI leaders know that executive support is key to drive enterprise growth. Use the insights in this document to determine your peers’ AI perceptions, assess AI literacy levels, and begin to explore AI use cases that align with business needs. Action Name Gartner ...
... Gartner client? AI code assistants and AI agents have led some to question the need for low-code application platforms. This research explains why low-code platforms remain critical and guides software engineering leaders on how their teams can effectively adopt and apply them alongside AI capabilities. ...
... Already a Gartner client? AI leaders struggle to adopt AI literacy programs due to insufficient executive prioritization and limited cross-functional authority. Use these insights to create an AI literacy roadmap, gain support from executives and boards of directors, and build AI communities of practice ...
... Fresh insights on emerging trends Enterprises in China have seen great opportunities in AI and GenAI. AI leaders should use these real-world examples of AI implementations in China to inspire and inform their AI strategies and roadmaps. Overview Strategic Planning Assumption(s) Contributors Notes Gartner ...
... highly competitive market by fundamentally transforming how teams build software and by creating AI-enabled software. CIOs, CTOs, and software engineering leaders can use this research to gain insights into AI strategy, value opportunities, and risks. Strategic Planning Assumptions Analysis Research Highlights ...
Analyst(s): Arun Batchu | Philip Walsh | Brad Dayley