CRM

When Salesforce announced Headless 360 at TDX 2026, it changed the question architects should be asking. It’s no longer “should we build a custom experience or stay inside the native Salesforce UI?” It’s how far up the stack you go, from the experience layer into AI reasoning and orchestration, before you step outside the platform’s […]

I’ve been in marketing for over 11 years, first at my own company, then at Salesforce. And one thing has been true the entire time: the ideas always moved faster than the tools. You’d walk out of a strategy session with a vision for the perfect campaign. Personalized. Multi-touch. Data-driven. And then you’d open your

Learn more about Connections Every year, marketers all over the globe get together at Salesforce Connections (CNX). And this year is no different. Live in Chicago on June 3rd and 4th and streaming on Salesforce+, CNX is packed with sessions built around agentic artificial intelligence (AI) tools and strategies that lean teams can actually put

Originally published September 29, 2020Last updated: May 28, 2026 At Salesforce, we take seriously our mission to create and deliver AI technology that is responsible, accountable, transparent, empowering, and inclusive. These principles ensure that our AI is safe, ethical, and engenders trust. We commit ourselves to: Asking not only can we do something but also

Key Takeaways Salesforce acts as “Customer Zero,” stress-testing its own tools within massive internal environments. Data Detect automated the discovery of sensitive data across billions of complex records. Internal feedback loops directly drove critical upgrades to product stability, UX, and roadmap features. This summary was created with AI and reviewed by an editor. At Salesforce,

Post-training methods (RLVR, On-policy distillation) are Episode-local Language models are getting better at learning from feedback during post-training. In reinforcement learning with verifiable rewards (RLVR), a model tries a problem, a verifier checks the answer, and the policy is updated based on the scalar reward. Recent self-distillation methods go further by using feedback or successful

Welcome to the “Beyond the Vibe” in financial services series. As artificial intelligence fundamentally reshapes the financial services landscape, executives are facing a dilemma. Developer tools make it incredibly easy to spin up new applications, prompting many to wonder if they can finally ditch enterprise platforms and build their own technology stacks from scratch. In

The data platforms built over the last two decades were designed for human analysts who could fill in the gaps. They knew which columns mattered, what the business logic behind a metric really was, when a number looked wrong, and how to read the email thread or call transcript that explained why. An AI agent