... Governments must have governance in place to provide guardrails for effective, efficient and secure use of the public cloud. This best practice template provides government CIOs with foundation on which their agencies can further develop or refine their own policies. Key Challenges Introduction Analysi ...
Analyst(s): Neville Cannon
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... Software engineering leaders should defer Agent2Agent (A2A) adoption until cross-platform agent interoperability is needed. Model Context Protocol’s (MCP) evolving features and strong adoption make it a more practical choice for single platform agent interoperability. Insights at a Glance Strategic Planning ...
... Developing and deploying LLM-based AI agents is a new challenge when compared to traditional software engineering. The agent development life cycle (ADLC) guides software engineers establishing the processes, platforms and practices for building successful AI agents. Overview Problem Statement The Gartner ...
... Access Insights Already a Gartner client? CIOs, CTOs and software engineering leaders should use this guide to systematically design, pilot, and scale AI applications, assistants and agents, addressing challenges in architecture, team skills, and leadership buy-in to deliver measurable business value ...
Analyst(s): Alex Coqueiro | Nitish Tyagi | Dave Micko | Tigran Egiazarov | Philip Walsh | Shiva Varma
... Executive support is critical to the success of the product operating model, but software engineering leaders struggle to communicate its value and sustain ongoing support. Use these presentation templates to introduce the product operating model to key stakeholders and communicate its impact on business ...
... Software engineering teams struggle to use legacy application and data architecture to deliver intelligent applications with AI agents. Software engineering leaders and their teams must partner with D&A to adopt composable architecture with AI-ready data to enable well-connected AI agents. Overview ...
Analyst(s): Max van den Berk | Keith Mann | Tigran Egiazarov | Mike Fang | Keith Guttridge | Anne Thomas | Steve Schwent
... agent integration, there are numerous security concerns regarding the implementation and monitoring of Model Context Protocol solutions. Software engineering leaders should create a security review process for Model Context Protocol and proactively mitigate agentic AI risks to developer environments. ...
Analyst(s): Keith Guttridge | Alex Coqueiro | Aaron Lord
... As developers shift from writing code to defining intent, software engineering leaders must make AI-augmented spec driven development the operating model. Living specs align humans and AI, allowing for agile-level speed while minimizing drift, security risk, and waterfall rigidity. Insights at a Glance ...
... AI is a game changer for software engineering leaders, but only if they transform their organizations to support AI-driven development. This maturity model enables you to gauge your teams’ ability to build AI-powered applications, identify gaps, and take actions for improvement. Insights at a Glance ...