... Access Insights Already a Gartner client? The latest AI coding agents and models are not enough to successfully scale the AI-native SDLC. To realize maximum value from AI, software engineering leaders must invest in coding agent harness engineering to extend and guide coding agents executing complex, ...
Analyst(s): Brian Minning | Manjunath Bhat | C.A. Swan | Gary Olliffe
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... identify and highlight technology and service providers that are currently the front-runners in today’s most critical AI market segments, referred to as “AI Races.” This leaderboard update presents over 40 AI races across eight unique race categories. Analysis Research Highlights Gartner Recommended Reading ...
... beware of pricing models, implement lean governance, remove accountability gaps, and demonstrate success to avoid being replaced by their colleagues or AI. Insights at a Glance Issue Impact More Detail Gartner Recommended Reading Gartner Insights Abstract ...
... Insights Already a Gartner client? Gartner’s annual predictions highlight the critical trends and emerging scenarios transforming data, analytics and AI across an ever-broadening range of industries and initiatives. Data and analytics leaders should use these predictions to enhance their vision, strategy ...
... compliance checklist to an existential imperative. CIOs must drive their enterprises toward digital sovereignty to regain control of key digital and AI assets, thereby ensuring business continuity across all key jurisdictions of operation. Insights at a Glance Strategic Planning Assumption Issue Impact ...
Analyst(s): Rene Buest | Gregor Petri | Tsuneo Fujiwara
... Cloud AI costs are exploding, and unpredictable government interventions threaten access to frontier models. Software engineering leaders should stop defaulting to cloud frontier models for agentic work. Deploy a tiered architecture using local, on-premises, and cloud inference to control risk. Insights ...
Analyst(s): Johan Jartelius | Akis Sklavounakis | Nitish Tyagi | Luke Parker
... As AI agents assume business operations, their reliability hinges on the quality of their context. Context layers are emerging as a vital architectural plane, providing the situational awareness and data required to ensure these autonomous systems deliver trusted, consistent, and effective results. ...
Analyst(s): Michael Gonzales | Christopher Long | Andrés García-Rodeja | Radu Miclaus
... Customers face a high failure rate of agentic pilots and unpredictable costs, making it challenging to realize value from AI implementations. Product marketing leaders must collaborate with product and customer success to incorporate value realization capabilities and methods to drive initial purchases ...
... Access Insights Already a Gartner client? Product marketing leaders should empower their teams to boost partner engagement by implementing data-driven, AI-enhanced incentive programs. Leaders should ensure teams align incentives with business goals and partner needs, driving outcomes and maximizing ROI. ...