Tag: Salesforce

June 3, 2026 delivered a concentrated burst of agentic AI announcements that, taken together, reveal a market at an inflection point — but not in the way the press releases suggest. Salesforce, Meta, Attentive, and Deece all made significant moves, and Forrester published a landmark report on the state…

Salesforce agreed to buy Contentful on June 1. Sitecore bought Scrunch on June 3. Inside 48 hours, two of the larger experience-platform vendors paid to move AI agents to the center of how content gets made and found. Salesforce is taking Contentful, the Berlin-founded headless content platform that serves…

Salesforce has signed a definitive agreement to acquire Contentful, the composable content platform used by more than 4,800 brands to deliver personalized digital experiences at scale. The deal, announced June …

New research from Salesforce’s “State of Service: AI Agents Edition” highlights that AI service agents are not merely improving operational efficiency; they are significantly enhancing customer satisfaction. This evolution demands a strategic approach from senior marketing and CX leaders, focusing on governance, data readiness, and workforce adaptation to fully…

Google Cloud and Salesforce announced an expanded partnership that will enable AI agents to execute end-to-end workflows across both platforms by solving the long-standing challenge of fragmented data and disconnected systems.

Yesterday’s wave of announcements demonstrate that the marketing technology industry is bifurcating into two camps — those building genuine autonomous capability and those rebranding existing automation with an “agentic” label. For Chief Marketing Officers (CMOs), the cost of getting this wrong is no longer just wasted budget. It’s eroded…

This week’s intelligence from Gartner, Forrester, Braze, and Salesforce tells a consistent story: the organizations winning with AI aren’t the ones with the most tools — they’re the ones that have solved the unglamorous prerequisites. Clean first-party data. Clear human-AI decision boundaries. Brand governance that scales. Without those foundations,…

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…