... 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 ...
Analyst(s): Sarah James | Alan D. Duncan
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... Access Insights Already a Gartner client? AI vision intelligence providers are accelerating adoption by targeting specialized use cases, transforming passive monitoring into active decision making. To capture enterprise demand, product leaders must focus on user-centric design and integrated solutions ...
Analyst(s): Akhil Singh | Gunjita Mundeja | Milly Xiang | Alizeh Khare | Laura Heath | Nick Ingelbrecht
... Access Insights Already a Gartner client? Agentic AI is driving massive innovation in IT network operations. Despite nascent enterprise adoption, heads of I&O should pilot emerging agentic NetOps software to unlock increased agility and efficiency within their enterprise networks. Insights at a Glance ...
Analyst(s): Andrew Lerner | Jonathan Forest | Tim Zimmerman | Mike Leibovitz
... 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. ...
... Insights Already a Gartner client? Communications leaders must move beyond vanity metrics to prove how communications drives real business outcomes during AI transformation, overcoming workforce skepticism, rapid tech change, and misinformation to align messaging with executive priorities. Insights at a Glance ...
... Prioritizing technical AI skills alone won’t guarantee ROI. To maximize value and prepare for the future of work, organizations should identify and prioritize process experts — visionaries whose creativity and systems thinking allow them to redesign processes, not just optimize individual tasks. Insights ...