A complete AI system is cohesive and scalable, and integrates data, AI, and action to deliver concrete business outcomes.

By automating routine tasks, coordinating workflows, and facilitating real-time communication, agents mitigate many of the challenges that arise with hybrid work teams.

AI agents have been described as a generational shift akin to cloud and mobile. These learning modules will give you the skills you need to ride the wave.

Autonomous, proactive AI agents are at the heart of Agentforce. But how do they work? Let’s look under the hood.

Small models are typically deployed for a single specific task. They’re far less expensive, more efficient, higher performing and, often, more accurate than LLMs.

Every AI platform and copilot out there is built on reams of data. But the most accurate and relevant ones are built on data and metadata. Here’s why that matters.