The artificial intelligence (AI) and machine learning platform provider cnvrg.io, an Intel subsidiary, announced the release of cnvrg.io AI blueprints to let developers quickly produce AI apps with easy-to-use ML pipelines that can run on any infrastructure. Cnvrg.io AI blueprints are a curated, vetted, and open-source library of machine learning models APIs and customizable channels that allow software developers to quickly add AI to their apps to solve any business or product challenge.
Cnvrg.io the AI blueprints are based on cnvrg.io's experience working with some of the world's top data. The AI teams, studying and recognizing recurring bottlenecks and technical difficulties that arise when deploying machine learning. The AI Blueprints are a set of complete, data-centric, and customizable machine learning pipelines that focus on the accessible data source and target integration.
AI Blueprints is our way of enabling data scientists to share their work easily and help organizations to keep up with the demand, and apply more AI to more use-cases. The cnvrg.io AI Blueprints are developer-friendly, open source, and fully customizable - enabling any developer to easily add ML to their applications."
Yochay Ettun, CEO and Co-founder of cnvrg.io.
The cnvrg.io AI blueprints are community-driven and include a collection of dozens of AI use-cases with over 100 components that will continue to develop as more people contribute. In addition, organizations will be able to host their own private repository of Blueprints using cnvrg.io AI blueprints, which will also assist data scientists in democratizing their work by allowing other developers to apply machine learning that is suited to their business use case.
We're excited to work closely with cnvrg.io to enable developers to get more value from their AI initiatives, Now with cnvrg.io AI Blueprints, AI is more accessible, making it easier for developers in any industry to enhance their business outcomes with pre-built AI pipelines off-the-shelf."
Kavitha Prasad, VP Intel AI Strategy and Execution.