OCI AI Foundations case studies
OCI AI Foundations · Put your knowledge to work in context.
OCI AI Foundations is an entry-level certification from Oracle that validates whether you can talk sensibly about artificial intelligence and machine learning in an Oracle Cloud Infrastructure context. It is aimed at people who are new to AI rather than specialists: developers and data analysts moving into AI work, solution architects and sales or pre-sales engineers who need to position OCI AI services, and business-facing staff who have to reason about what a model can and cannot do. The OCI AI Foundations case studies are 5 cases and about 3,640 words.
1Claims Intake: Regex vs. Managed Document AI
A regional insurer digitizes about 38,000 scanned pages a month: 11 recurring vendor layouts plus roughly 15% ad-hoc letters, with handwritten annotations on about 7% of pages. A pilot that sent every page to the OCI Document Understanding pretrained invoice model reached 62% exact-match accuracy on the six fields the claims system needs (claim number, policy number, incident date, provider, billed amount, total).
780 words, about 4 min2Forecasting Everything by November
A grocery chain wants two AI projects. First, daily demand forecasts for 640 stores by 4,200 SKUs, roughly 800 days of history, with promotions and holidays as drivers.
758 words, about 4 min3The RAG Assistant That Cites a Retired Article
A B2B SaaS company built a support assistant on OCI Generative AI over 210,000 help-center articles and four years of resolved tickets. Agents report four symptoms: answers cite an article archived two releases ago; when the knowledge base has no answer the model invents a refund window; long answers are truncated mid-sentence; 14% of answers are flagged by agents.
721 words, about 4 min4HR Wants a Promotion Score and a Resume Ranker
An HR analytics team proposes two systems. System A summarizes 12,000 annual performance reviews and produces a 1-5 'promotion readiness' score per employee.
665 words, about 3 min5Defect Detection Where Nine Examples Is the Whole Class
A manufacturer runs six assembly lines with fixed cameras. Over 14 months the team labeled 2,600 images: 2,410 OK and 190 defective, across five defect types.
716 words, about 4 min