AI reference kits that shorten the time to deploy industrial solutions to market are being continuously updated in open source form within Intel's developer community, with their numbers increasing.

Intel has been providing AI reference kits through years of collaboration with Accenture to enable developers and data professionals to deploy artificial intelligence (AI) faster and more easily. A total of 34 open source AI reference kit sets have been disclosed to the community to date, and Intel has supported accelerated AI model development.

Built on Intel's end-to-end AI software portfolio products such as an open, standards-based, heterogeneous programming model on oneAPI, Intel AI Analytics Toolkit, and Intel OpenVINO Toolkit, these reference kits enable AI developers to simplify the process of introducing AI into applications.

Intel expressed confidence that it has achieved higher performance improvements in productivity compared to existing model development workflows by improving existing intelligent solutions and accelerating deployment.

Using an AI reference kit designed to set up interactions with enterprise conversational AI chatbots, oneAPI optimization enables inference in batch mode up to 45% faster.

Additionally, an AI reference kit designed to automate vision quality control inspection for life sciences achieved up to 20% faster training and 55% faster inference for vision defect detection through oneAPI optimization.

There is also an AI reference kit that enables developers to predict utility asset conditions and achieve up to 25% improvement in prediction accuracy to provide higher service reliability.

Intel emphasized that such pre-configured kits can simplify AI development across industrial sectors including △consumer products △energy △utilities △financial services △healthcare △life sciences △manufacturing △retail △telecommunications.

The AI reference kits reduce the time required to complete solutions from weeks to days. This enables data professionals and developers to overcome the limitations of proprietary environments and train models faster and at lower cost. AI tools and optimizations powered by oneAPI maximize the portability of open accelerated computing applications.

John Giubileo, Managing Director at Accenture, stated, "By collaborating with Intel in building AI reference kits for the open source community, we have created more productive AI workloads for our customers," and added "oneAPI-based kits will provide developers undertaking AI projects with lightweight and efficient solutions, reducing project complexity and deployment time."

Wei Li, Intel Vice President and Director of AI and Analytics, said, "Intel contributes not only to AI accelerated processors and system portfolios but also to an open AI software ecosystem, working to implement AI anywhere in the future," and added "The reference kits are based on Intel's AI software portfolio and are built on the open standards-based oneAPI multi-architecture programming model."