Enterprise AI built into CRM for business

Salesforce Artificial Intelligence

Salesforce AI delivers trusted, extensible AI grounded in the fabric of our Salesforce Platform. Utilize our AI in your customer data to create customizable, predictive, and generative AI experiences to fit all your business needs safely. Bring conversational AI to any workflow, user, department, and industry with Einstein.

A welcome message with Astro holding up the Einstein logo.

AI Built for Business

Enterprise AI built directly into your CRM. Maximize productivity across your entire organization by bringing business AI to every app, user, and workflow. Empower users to deliver more impactful customer experiences in sales, service, commerce, and more with personalized AI assistance.

Generative AI FAQ

Generative AI refers to artificial intelligence models capable of creating new, original content, such as text, images, audio, video, or code, that resembles content created by humans.

Generative AI models learn patterns, structures, and relationships from vast datasets during training, enabling them to generate novel outputs that align with the learned characteristics of the data.

Common types include Large Language Models (LLMs) for text, Generative Adversarial Networks (GANs) for images, and diffusion models for image and video generation.

Applications include automating content creation (marketing copy, reports), generating personalized recommendations, designing new products, and accelerating software development.

It acts as a creative partner, providing new ideas, generating variations, and automating tedious parts of the creative process, allowing humans to focus on refinement and conceptualization.

Ethical concerns include potential for misinformation (hallucinations), copyright issues for generated content, misuse for malicious purposes, and ensuring transparency about AI-generated material.

Prompt engineering is the art and science of crafting effective inputs (prompts) for Generative AI models to guide them toward producing desired, high-quality, and relevant outputs.