... client? AI is rapidly surpassing the ability of humans to be in the loop as a checkpoint for actions executed by agents. AI-led oversight of all domains is the single most important topic that governance and cybersecurity leaders will face over the next five years, increasing their risk as AI technology ...
Analyst(s): Daryl Plummer
Get more from Gartner
Interested in receiving proven business and technology insights, analyst guidance, benchmarks, diagnostics and more? Connect with a Gartner representative to learn more about becoming a Gartner client.
... To capitalize on the promise and potential of AI in product marketing and GTM, product marketing leaders must become “GTM orchestrators” — builders and managers of the models, agents, and resulting AI-infused GTM activities and processes that are core to the function and critical for growth. This session ...
... Access Insights Already a Gartner client? AI-driven speed is often assumed to lower costs, but new AI-related expenses challenge that view. Software engineering leaders must plan for variable AI consumption and amplified downstream costs such as verification, rework, security and compliance to avoid ...
Analyst(s): Aaron Harrison | Luke Parker | Keith Holloway | Deacon D.K Wan
... Access Insights Already a Gartner client? Investment in CPaaS solutions with integrated agentic AI is projected to increase significantly. Providers that deliver GenAI-powered self-service and agentic AI capabilities to enhance operational efficiency and customer experience will sustain a competitive ...
Analyst(s): Manoj Bhatia | Lisa Unden-Farboud | Arunasree Cheparthi
... a Gartner client? Delivering on the AI strategy is a top priority for software engineering leaders. Modernizing to AI-native architectures, AI-ready APIs and data, and building secure AI engineering platforms are essential to avoid costly failures and to scale AI value. Without these strong foundations ...
Analyst(s): Tigran Egiazarov | Jim Scheibmeir | Brad Dayley
... the mandate to reinvent I&O as an enabler of AI value. AI value in I&O FAQs What is the AI value perception gap in I&O? The AI value perception gap refers to the disconnect between I&O leaders, who see strong results from AI investments, and executives like CIOs, who are more likely to view these investments ...
... CCEOs often struggle to identify which compliance activities are suitable for AI-driven automation. To address this, they should implement a structured pilot program to validate use cases before broader implementation, ensuring consistent standards and reducing risks through a standardized framework. ...
... Platforms and ecosystems stall when growth depends on people coordinating partners, integrations, exceptions, and controls. Embedding AI into platform operations automates coordination, enforces standards, and scales participation, governance, and ecosystem value without proportional increases in cost ...
... AI shifts advantage to companies controlling enterprise context and executing work, away from those providing mere software and insights. Product leaders must redesign offerings to control identity, access, and policy-bound execution or risk workflow bypass and lost pricing power. Insights at a Glance ...
Analyst(s): Sabine Zimmerhansl | Vuk Janosevic | Raymond Paquet