... Gartner client? To maintain a competitive edge in the changing world of AI-influenced consumer habits, this report offers retail supply chain executives strategic perspectives and practical guidance for boosting product visibility on AI-driven platforms. Insights at a Glance Strategic Planning Assumption ...
Analyst(s): Chap Achen
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... Access Insights Already a Gartner client? The shift to AI-native architectures marks the death of the self-contained product; modern products are reborn as orchestrators. To avoid obsolescence, product leaders must leverage the long tail of AI-native startups to secure cost-effective, continuous innovation ...
Analyst(s): Kelli Smith | Mark Wesker | Tracy Tsai
... centric SASE platforms cannot adequately address blind spots being created by AI adoption. It is absolutely critical that SASE vendors develop client-friendly and technically efficient capabilities to address real-time, AI-native zero trust for nonhuman identities across the entire digital estate. Insights ...
... Gartner client? Organizations face strong user requirements for personal AI agents — banning them is operationally unsustainable. Rather than restricting adoption, CISOs must deploy dynamic runtime policies to safely scale personal AI agents into production environments. Insights at a Glance Strategic Planning ...
Analyst(s): John Watts | Angela Zhao | Mia Yu | Anson Chen | Niyati Daftary | Franz Hinner
... Access Insights Already a Gartner client? This research provides banking CIOs with strategies to quantify AI’s value by linking AI use cases to employee performance and business outcomes. Gartner’s approach offers a framework for selecting ROI metrics that align with stakeholder priorities. Insights ...
... Access Insights Already a Gartner client? As AI agents transform demand generation in B2B, Demand Architects become essential — designing, orchestrating, and governing AI-driven marketing to maximize value, ensure cross-functional alignment, and drive innovation and measurable business outcomes across ...
Analyst(s): Jenifer Silverstein | Nina Maj Fjordvald
... 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
... 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 ...
... 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 ...