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.”
Instituto PROA's Interview preparation is part of this use case:
Non-profit providing job training and career placement for low-income youth in Brazil.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Staff spent 30 minutes compiling one dossier. AI builds it in five, shifting focus from paperwork to career counseling.
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
Staff spent days reformatting resumes from JPEGs and text messages. Now, AI extracts skills into standard drafts for human review.
Client research took days. An AI agent now compiles tailored briefs in minutes, saving 1,000 hours annually.
Researchers skimmed dense academic texts to evaluate relevance. Now, generative AI streams on-demand bulleted insights in under 5 seconds.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
A 20% donation drop overwhelmed staff relying on manual outreach. Now, AI prioritizes lapsed donors and drafts emails for staff approval.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.
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.”
Instituto PROA's Interview preparation is part of this use case:
Non-profit providing job training and career placement for low-income youth in Brazil.
Social technology company developing AI frameworks, VR hardware, and digital platforms.
Related implementations across industries and use cases
Staff spent 30 minutes compiling one dossier. AI builds it in five, shifting focus from paperwork to career counseling.
Fragmented CRM data and manual spreadsheets bottlenecked a lean team. Now, staff use AI to clean records, segment donors, and draft emails.
Staff spent days reformatting resumes from JPEGs and text messages. Now, AI extracts skills into standard drafts for human review.
Client research took days. An AI agent now compiles tailored briefs in minutes, saving 1,000 hours annually.
Researchers skimmed dense academic texts to evaluate relevance. Now, generative AI streams on-demand bulleted insights in under 5 seconds.
Off-hour callers in crisis waited days for help. Now, voice AI fields calls, routes urgent cases to humans, and automates documentation.
A 20% donation drop overwhelmed staff relying on manual outreach. Now, AI prioritizes lapsed donors and drafts emails for staff approval.
Manual maintenance reports and routine purchases bottlenecked staff. AI agents now accurately classify faults and recommend suppliers.
Manual translation dragged 60-minute calls to 90+, silencing experts. Now, live AI captions let teams collaborate in native languages.