Siemens and AWS Collaborate to Simplify GenAI Application Access

Siemens and AWS are collaborating to simplify the process of building and scaling GenAI applications. They are integrating Amazon Bedrock, a service that offers a range of foundation models from leading AI companies through a single API, with Mendix, which is part of the Siemens Xcelerator portfolio.

"By integrating Amazon Bedrock into our low-code platform, we are democratizing generative AI technology and empowering everyone to create the applications customers need to become more competitive, resilient, and sustainable," says Roland Busch, CEO of Siemens. This integration allows customers to choose the generative AI model that best suits their specific use case and easily incorporate it into their applications.

Previously, developers had to obtain access credentials and write specialized function code to integrate GenAI models. However, with the Mendix-Amazon Bedrock integration, this can now be done with just a few clicks.

Teams can create smart, industry-hardened applications without requiring dedicated programming knowledge. Users can interact with information easily through a graphical interface and the simplicity of drag and drop commands.

This integration enables Mendix customers to leverage GenAI to drive productivity within their workforce. For example, using GenAI, a factory worker can quickly find machine documentation and generate relevant visualizations without manually searching through databases, manuals, and records.

A production engineer can also utilize GenAI to receive suggestions for machine adjustments to improve yield and recommendations for equipment adjustments, maintenance, or spare parts to maximize a factory's productivity.

Customers no longer need to build their own AI infrastructure and can harness the power of their company's data with the highest level of security and privacy, while maintaining full control.

GenAI technology can enhance applications by summarizing and analyzing lengthy technical or legal documents, translating content into different languages, or recognizing images.

Financial businesses can integrate automatic fraud detection into their software, while workers in a car factory can improve quality based on AI analysis of millions of data points in the manufacturing line.

With access to a variety of foundational models on Amazon Bedrock, users can easily select the most suitable model for their specific task and integrate it with just a few clicks.