AI Reference Kits
In collaboration with Accenture*, Intel is launching a series of trained AI reference kits to the open source community to help enterprises innovate and accelerate their digital transformation journey. With these kits, Intel further builds upon the AI application tools it provides to data scientists and developers.
Solve Important Business Problems
Intel has selected AI reference kits for their impact on the problems they solve across various industries. Each kit includes an AI model developed to deliver higher accuracy, better performance in training and inference, and lower overall total cost of ownership.
Innovate Faster with Open Source Machine Learning Kits
Released to the open source community, the AI models were designed, trained, and tested from among thousands of models to release the one best suited for the use case. Data scientists can further customize and fine-tune the model with data from their industries.
Example Results
Up to a 25% increase in prediction accuracy for predictive asset maintenance.
Predict Utility Asset Health to Deliver Higher Service Reliability
Up to 20% faster training and 55% faster inferencing time for visual defect detection.
Automate Visual Quality Control Inspections for Life Sciences
Up to 45% faster inferencing in batch mode for enterprise conversational chatbots.
Step Up Interactions with an Enterprise Conversational AI Chatbot
Build More Models Using Less Compute Resources
All AI models are optimized with Intel® AI Tools powered by oneAPI for faster training and inferencing performance using less compute resources. The AI reference kits use components from Intel's AI software portfolio, including Intel® oneAPI AI Analytics Toolkit and the Intel® Distribution of OpenVINO™ toolkit.
Designed and Optimized for the Machine Learning Pipeline
Each reference kit includes a user guide to accelerate AI deployment in the enterprise, including:
- Data ingesting
- Data preprocessing
- Machine learning modeling
- Hyperparameter tuning
- Model serving and deployment
- Benchmarking
Developing a Hub of AI Reference Kits
Over 30 AI reference kits with trained machine learning and deep learning models are planned for release to the open source community. Each kit includes model code, training data, instructions for the machine learning pipeline, libraries, and Intel® oneAPI components.