Tag: Salesforce

While AI adoption is now near-universal, the real story for Chief Marketing Officers (CMOs) is far more nuanced — and more demanding. Three structural shifts are converging simultaneously, and each one requires a concrete strategic decision, not a wait-and-see posture.

The most structurally significant signal from these recent announcements is not any single product launch — it is the convergence of three simultaneous pressures. First, AI is moving from a feature layer on top of existing platforms to the core operating logic of those platforms.

The CMOs who will win this race are building data infrastructure, rethinking how they earn (not buy) attention, and putting governance frameworks around agentic AI before they need them, not as they are in the midst of a critical project. The gap between AI ambition and AI execution is…

Agentic AI is the new default, but CMOs should read past the press releases before reallocating budgets. The convergence of announcements from Salesforce, VTEX, Highwire, Apply Digital, Wayvia, and Rubrik on a single day is not coincidence; it reflects where vendors believe the next revenue opportunity lies. The harder…

The dominant theme is (wait for it…) agentic AI: autonomous systems that don’t just generate content or surface insights, but take action, trigger workflows, and make decisions without human intervention at each step. Salesforce, GrowthLoop, Adobe, Demandbase, GoodData, Airship, and a dozen e-commerce platforms all announced agentic capabilities on…

Recent from Gartner, Forrester, and Salesforce converges on a single uncomfortable truth: the AI investment cycle is entering a reckoning phase. The hype-to-reality gap is widening, and CMOs who haven’t built the operational infrastructure to support AI at scale are now facing compounding disadvantages — not just in efficiency,…

The most consequential pattern across yesterday’s news is the acceleration of agentic AI from concept to commercial product.

The dominant themes are: (1) the widening gap between AI tool adoption and organizational AI competency; (2) the restructuring of the marketing technology partner ecosystem around AI specialization; (3) the shift from AI experimentation to AI governance and ROI accountability; and (4) the transformation of the B2B buyer journey…

Today, we’re going to talk about the often-overlooked foundation of marketing agility and AI innovation: the data infrastructure itself. We’ll explore how the role of the CMO is shifting from a master of messaging to a master of data strategy, and what it takes to lead a marketing organization…

The 2026 Connectivity Benchmark Report by MuleSoft, with insights from Deloitte Digital, reveals that despite widespread adoption, significant architectural and governance challenges persist, threatening to undermine the full potential of these initiatives. Success hinges on a robust data integration strategy and a comprehensive governance framework.