... Gartner client? Scaling AI engineering across product teams hinges on supportive team structures. Software engineering leaders should use Team Topologies as an organizing principle to close AI competency gaps, reduce cognitive load, ensure ownership and provide platforms that enable AI governance by default ...
Analyst(s): Manjunath Bhat | Adrian Leow | Keith Holloway
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... AR must shift from tactical execution to strategic foresight. The AI vendor race, bandwidth constraints, and an AI credibility gap threaten AR’s relevance. Transform AR into an outcome-focused intelligence engine by evaluating the 18 AI use cases across three categories of the AR value pathways: AR activities ...
... Insights Already a Gartner client? Application leaders must monitor the emerging vendor landscape of AI-native ERP startups, as AI agents increase their level of autonomy and interoperability. Deployment of AI-native ERP startups requires careful consideration of vendors’ roadmap and financial viability. ...
Analyst(s): Allan Wilkins | Johan Jartelius | Neha Ralhan
... Access Insights Already a Gartner client? The most successful advances in agentic AI lie in the evolution of agent harnesses, not an LLM. Product leaders must invest in agent harnesses that balance complexity, abstraction, and deterministic control to achieve highly differentiated agentic reliability ...
... Access Research Already a Gartner client? Organizations seek ways to improve threat detection in hybrid environments, and network traffic is a common denominator supporting those efforts. NDR is critical for maintaining visibility due to documented incidents revealing that threat actors are disabling ...
... Gartner client? AI will soon simply be part of enterprises’ broader technology roadmaps. This intersection of AI and existing technologies will bring new capabilities, but also new risks. This strategic technology roadmap will help address these risks with technologies that increase AI governance effectiveness ...
... CEOs are betting on operating model redesign to unlock AI value and regain strategic freedom in an environment shaped by economic volatility, geopolitical uncertainty and AI-driven disruption. They are rethinking business functions, workforce design and even technology leadership itself. The result is ...
Analyst(s): Brook Selassie | David Akers | Richard Eames | Jennifer Carter | David Furlonger | Gabriela Vogel
... Access Insights Already a Gartner client? Tenable’s asset and attack surface coverage, its application of AI and its reputation for vulnerability assessment make it the front-runner inAI-powered exposure assessment. Competitors can catch up with more integrated, automated and cloud-native solutions ...
Analyst(s): Elizabeth Kim | Luis Castillo | Isy Bangurah | Mitchell Schneider
... sensors, resulting in the silent corruption of data pipelines, causes AI models to fail in production, directly threatening safety and ROI. Product leaders must abandon trust in static models and build a multilayered defense of hardware hardening, pipeline monitoring, and adaptive AI. Overview Analysis ...