Key takeaways The Bank of England and FCA found that 80% of 196 surveyed firms have AI agents deployed, while only 2% report broad autonomy. Controls are front-loaded: more than
AI data governance is the set of controls deciding which data an AI system may use, who may see what it returns, and what record is kept of both. It
Enterprise AI architecture is the shared platform that several AI systems run on: the model access layer, the retrieval and data plane, the identity and policy plane, the integration layer
AI agent security is the practice of containing what a tool-using AI agent can do when its reasoning is wrong or manipulated, by bounding its identity, its tool permissions, its
AI agent governance is the set of decision rights, policies and lifecycle controls that decide which AI agents an organization allows to run, what each one may do, who answers
Key takeaways Staff augmentation gives you capacity and skills under your direction. A forward deployed model gives you an outcome owner inside your systems. You are buying different things. Choose
Key takeaways A forward deployed engineer (FDE) is not a consultant and not a solutions architect. They write production code in your environment and feed what they learn back into
RAG, fine-tuning and long context are three ways of getting an enterprise agent the knowledge it needs at inference time: retrieval fetches relevant material from an index, fine-tuning changes the
Oracle native AI is the set of agents and generative features Oracle ships inside Fusion Applications and runs within the Fusion security framework; a custom agent is one your team
AI agents and Oracle Fusion meet along four paths: Oracle’s own AI Agent Studio, direct REST calls, report and extract delivery, and event or file-based batch. The path chosen decides
An Oracle Fusion quarterly update is a mandatory release that Oracle applies to your test environment first and your production environment roughly two weeks later. For an AI integration, that
AI workflow integration connects models, data, and controls to reduce decision latency, improve operations, and deliver measurable enterprise ROI at scale.
Learn how to hire ChatGPT developers who can build secure, governed enterprise AI apps, integrate core systems, and deliver measurable workflow ROI at scale.
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