Intel Corp. has unveiled the first of a years-long collaboration with Accenture in the deployment of 34 open-source artificial intelligence (AI) reference kits.
Each kit includes model code, training data, instructions for the machine learning pipeline, libraries and oneAPI components for creating devices in multi-architecture on-premises, cloud and edge environments.
The reference kits enable users to introduce AI into applications easier. The kits are standards-based, and feature heterogeneous programming models and components of Intel’s AI software portfolio such as Intel’s AI Analytics toolkit and Distribution OpenVINO toolkit.
Intel said it will continue to upgrade the AI kits and will continue to roll out specific kits for applications including:
- Visual quality inspection
- Enterprise conversational AI chatbot setup
- Predictive asset health analytics
- Medical imaging diagnostics
- Document automation
- AI-structured data generation
Intel said using AI reference kits for enterprise can accelerate batch mode up to 45% faster with oneAPI optimizations. For life sciences, visual quality control inspections training speeds up 20% and inferencing is 55% faster for visual defect detection using oneAPI. Additionally, Intel said the reference kits can reduce the time to solution from weeks to days.
The toolkits are preconfigured for industries like consumer electronics, energy and utilities, financial services, health and life sciences, manufacturing, retail and telecom.
