Staff manually searched websites for 30 minutes per report. AI now scours the web to build interview guides in five minutes.
A Brazilian nonprofit organization helps low-income youth enter the labor market by providing career guidance and job placement support.
Staff spent 30 minutes on average per student report manually searching websites and compiling interview preparation documents. This labor-intensive...
“Llama is a core component of our AI-powered solution to enhance the efficiency of our job preparation process for young candidates. We chose Llama 3.1 primarily because of its seamless integration with our existing infrastructure on Oracle Cloud Infrastructure, where all of our solutions are hosted. We needed a model that could efficiently leverage OCI’s capabilities, including its scalability and performance for AI workloads.”
Non-profit providing job training and career placement for low-income youth in Brazil.
Two staff manually routed urgent goods. An AI agent now automates matching for 10k+ partners, distributing relief 3x faster.
Tracking relied on static docs and voicemail. Centralized logs and AI search now coordinate transplants, increasing capacity 4x.
Sonar review meant checking raw footage frame by frame. AI now scans hours of data to pinpoint targets for recovery.
Fragmented server data bottlenecked scaling. A unified model cut hardware SKUs by 50% and eliminated dozens of manual processes.