... Many CMOs know the enterprise AI data fabric is coming but have no plan to join it. The fabric is the infrastructure. Marketing’s data mesh is how marketing takes part. Productize your customer data, set your data contracts (the gives and gets), and field agentic AI to stay in the decision loop. Insights ...
Analyst(s): Adam Sarner
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... path for transitioning from traditional, human-centered architectures to an agentic CSS target state, where an AI-augmented human workforce operates alongside autonomous and semiautonomous AI agents under centralized governance. Overview Strategic Planning Assumption Introduction Future State Current ...
... Access Insights Already a Gartner client? CMOs face intense pressure to automate campaigns via AI agents, yet execution risks remain high. To strike the right balance between automation and risk, AI agents should be governed through quantified error-risk tolerances rather than an expectation of zero ...
... Access Insights Already a Gartner client? Scaling AI-native tiny teams without strong platform capabilities will amplify friction, not value. To maximize tiny teams’ impact, software engineering leaders must build platform teams that manage AI complexity and risks across the SDLC, freeing tiny teams ...
... Already a Gartner client? Cybersecurity leaders need trusted tools to secure and protect AI applications, models, and their underlying infrastructure against prompt injection, sensitive data leakage, and other AI-related threats. These insights will help you navigate established vendors’ positions in ...
... Access Insights Already a Gartner client? Leading AI companies are racing to put AI agents into the hands of customers, such as Meta’s Muse, OpenAI’s Dots, and Google’s Call for Me. These agents are capable of autonomously executing multistep tasks across connected apps like shopping and placing phone ...
Analyst(s): Christopher Sladdin | Brad Fager | Devra Struzenberg | Daniel O'Sullivan
... rise of low-code solutions and AI, alongside distributed work models, has made citizen project managers essential for modern execution. PMOs must shift from gatekeepers to enablers by providing curated trainings, toolkits, and coaching that combine foundational PPM with AI-driven techniques to ensure success ...
... Already a Gartner client? Decisions about AI cost models often look sound in pilots but break at scale. As usage, commitments and autonomous workflows grow, costs can outpace value. CIOs must put in place the governance, accountability and economic controls that ensure AI spending scales with business value ...
... AI is reshaping outsourced services delivery, creating hidden risks that traditional oversight may not detect. Heads of IT procurement must understand AI’s role in delivery, analyze risks, and create new mitigations to maintain control and protect outcomes. Insights at a Glance The Risk of Hidden AI ...
Analyst(s): Tom Sieber | Edward Weinstein | Jaswant Kalay