... Access Insights Already a Gartner client? Software engineering leaders face a rapidly evolving landscape of platforms and frameworks for building AI-powered solutions. Leaders must use a layered stack that balances enterprise governance with developer flexibility to streamline delivery of AI agents and ...
Analyst(s): Shiva Varma | Luke Parker
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... with application delivery speed and maintenance are increasingly investing in enterprise low-code application platforms. This note guides software engineering leaders to learn from the implementation experience of their peers shared on Gartner Peer Insights. Overview Peer Lessons Learned Gartner Recommended ...
... rapidly emerging as viable options for different use cases. Example technology: Multimodal generative AI AI engineering enables safe, scalable deployment Scaling GenAI programs demands robust engineering. This requires tools and frameworks for building, governing and customizing GenAI-powered applications. ...
... Access Insights Already a Gartner client? Despite deep social inequity in digital access, the CIO of the Cape Town City Council innovated to solve a deadly water crisis, using data to address citizens’ water use. CIOs can exert great influence in using data to transform behavior, which can be pivotal ...
Analyst(s): Daniel Sanchez Reina | Erik Van Ommeren | Tsuneo Fujiwara
... Investments in disruptive technologies can empower software engineering teams to meet business objectives for productivity, sustainability and growth. This research highlights the top five technology trends that software engineering leaders must track and act on in 2024 and beyond. Gartner Research ...
... CIOs struggle to communicate the value of platform engineering, leading to a lack of CxO support for platform engineering investments. To gain executive support, CIOs should align platform metrics with cost and revenue levers that matter to CxOs, demonstrating clear business value. Contributors Gartner ...
... effectively has never been more critical. CCOs are now expected to do more than manage messages—they must build organizational trust, navigate complex social landscapes, and serve as strategic partners to the C-suite. In this new era, the future of communications demands that leaders anticipate and respond ...
... client? The rise of agentic AI requires applications to support both predictable interactions and nondeterministic, goal-oriented systems. Software engineering leaders must integrate agentic AI capabilities into composable architecture and standardize agent integration and operations to drive AI agent adoption ...
... all custom-built AI agents the same regardless of autonomy and scope will be the primary driver of AI agent failure in the enterprise. Software engineering leaders must implement autonomy-level validation gates and classify custom-built AI agents by their highest intended autonomy level. Gartner Insights ...