Mendix, a Siemens business and global leader in modern enterprise application development, outlined powerful new and robust AI and machine learning capabilities, including innovative context-aware AI developer tools, which will all be available upon the release of Mendix 10, to be announced during a live streaming event on June 27th.
The new AI and Machine Learning enhancements reinforce the status of Mendix’s low-code platform as the de facto standard for building smart business applications and solutions. Mendix 10 features greatly expanded AI capabilities in two major areas. First, Mendix 10 empowers the enterprise to seamlessly integrate AI use cases with low-code applications using Mendix’s new Machine Learning Kit. Secondly, the platform greatly expands the scope and functionality of AI-enabled application development.
Infusing low-code applications with AI enablement via Mendix’s Machine Learning Kit
Addressing an urgent market need to integrate and deploy AI into applications, Mendix 10 features a new Machine Learning (ML) Kit that empowers enterprises to build solutions incorporating custom AI models within applications using the developer’s desired AI framework and language. These include pretrained models built with PyTorch, Caffee2, Cognitive Toolkit, and other common AI frameworks that have adopted the Open Neural Network Exchange (ONNX) standard. ONNX-based models can be easily imported into Mendix’s integrated development environment (IDE) and weaved into a Mendix application. In doing so, this offers support for various inference patterns, and pre- and post-processing logic. The Mendix runtime has been enhanced to support seamless execution of ONNX-based models, enabling the ML model to run in the same environment as the application.
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The ease of packaging and deploying these pre-trained models — whether open sourced or developed internally — within Mendix applications brings the low-code experience of speed, scalability, superior UI, and accelerated time-to-market to enterprises seeking to harness AI technology for business value and ROI.
By eliminating time-consuming tasks of manual integration, the ML Kit can reduce AI deployments from weeks to hours. The lower latency of the built-in integration of embedded AI models versus API-based integration drives the superior performance of AI-enhanced applications as the ML model runs in the same container as the application. Also, embedded AI model deployment enables the robust continuity of AI services when used offline, on-edge, or in IoT uses. Finally, in-application deployment of ML models eliminates the need to upload enterprise data or IP to third-party systems outside of the Mendix application landscape, thus providing another layer of security.
SOURCE: PRNewswire