What are the technologies used in Oracle AI for Fusion Applications?

Oracle AI, in Fusion Applications, encompasses these types of AI technologies.

• Predictive AI: Uses statistical ML models to identify patterns in training data and make predictions on new data
• Generative AI: Uses large language models (LLMs) and multimodal AI models to generate text and media content based on input instructions and context data
• Agentic AI (AI Agents and Agentic Apps): Uses advanced AI models that operate in continuous loops to analyze inputs, plan steps and required resources, and take action through tools and subagents
  • AI Agents: Software entities that run tasks autonomously across processes, and has these capabilities:
    • Language-based: Interpreting and generating natural language based on input and context
    • Context-aware: Incorporating user role, business data, and interaction history to guide behavior
    • Action-taking: Triggering and running tasks, and interacting with enterprise systems based on AI-driven decisions
  • Agentic apps: Applications composed of multiple AI agents coordinating autonomously to achieve desired business outcomes