Siemens and Amazon Web Services (AWS) are strengthening their partnership and making it easier for businesses of all sizes and industries to build and scale generative artificial intelligence (AI) applications.
Advanced generative AI technology
Domain experts in fields such as engineering and manufacturing, as well as logistics, insurance, or banking will be able to create new and upgrade existing applications with the most advanced generative AI technology.
To make this possible, Siemens is integrating Amazon Bedrock - a service that offers a choice of high-performing foundation models from pioneering AI companies via a single API, along with security, privacy, and responsible AI capabilities with Mendix, the pioneering low-code platform that is part of the Siemens Xcelerator portfolio.
Competitive, resilient, and sustainable
Making smarter applications without programming expertise accelerates innovation and tackles labour shortage"
“By integrating Amazon Bedrock into our low-code platform, we are democratising generative AI technology and empowering everyone to create the applications customers need to become more competitive, resilient, and sustainable,” said Roland Busch, CEO of Siemens.
“Making smarter applications without programming expertise accelerates innovation and helps companies to tackle skilled labour shortages.”
Flexible, customisable, secure environment
“Together, AWS and Siemens are empowering companies worldwide to create new capabilities, solutions, and value with generative AI,” said Adam Selipsky, AWS CEO.
“This partnership builds on our 10-year relationship with Siemens, giving customers across all industries the flexible, customisable, secure environment they need to take advantage of new opportunities with generative AI.”
Simple, fast, and efficient development
The combination will enable customers to select the generative AI model that best suits their specific use and incorporate
The combination will enable customers to select the generative AI model that best suits their specific use case and quickly and securely incorporate that model into their applications.
This will make their development simpler, faster, and more efficient. Previously, when developers wanted to integrate generative AI models, they had to obtain access credentials and write specialised function code. With the new Mendix-Amazon Bedrock integration, this can be done with just a few clicks.
Smart, industry-hardened applications
Teams can create smart, industry-hardened applications without dedicated programming knowledge and users can interact with information easily via a graphical interface and the simplicity of drag-and-drop commands.
This innovation allows Mendix customers to apply generative AI to drive productivity within their workforce. For instance, using generative AI, a factory worker can find machine documentation faster, generating relevant visualisations without a need to manually search a database, manuals, and records.
Controlling data security and privacy
Customers do not need to build their own AI infrastructure and will be able to harness the power of company data
A production engineer could also use generative AI to suggest machine adjustments to improve yield and get suggestions on equipment adjustments, maintenance, or even spare parts to maximise a factory’s productivity.
Customers do not need to build their own AI infrastructure and will be able to harness the power of their company’s data with the highest possible security and privacy, maintaining full control of their data.
Gen AI features
Generative AI technology can supercharge applications with features like summarising and analysing lengthy technical or legal documents, translating content into different languages, or recognising images. Financial businesses can integrate automatic fraud detection in 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 choice of foundational models on Amazon Bedrock, users can easily select the best model for their specific task and integrate it with just a few clicks.
Easy integration
AWS and Siemens to help streamline the use of IT and cloud technology so it can be easily integrated into applications
The collaboration expands on the long-established partnership between AWS and Siemens to help streamline the use of IT and cloud technology so it can be easily integrated into applications and machine workflows, making it seamless to engage with.
Currently, more than 50 million end users worldwide work with more than 200,000 applications built with Mendix’s low-code platform, available as part of the Siemens Xcelerator portfolio.
Drag and drop applications
Low-code platforms are expected to grow substantially over the next years.
The technology enables developers to create applications by drag and drop with reusable components and software building blocks, which means they can build more software faster and with smaller teams.
Easy access to models
Users can also apply Guardrails to filter undesired content, adhere to responsible AI policies, or fine-tune their models
Amazon Bedrock is a fully managed service that offers easy access to a choice of industry-pioneering large language models and other foundation models from AI21 Labs, Amazon, Anthropic, Cohere, Meta, and Stability AI, along with a broad set of capabilities that customers need to build generative AI applications simplifying development while supporting privacy and security.
Users can also apply Guardrails to filter undesired content, adhere to responsible AI policies, or finetune their models using Knowledge Bases for Amazon Bedrock to give contextual information from private data sources and more relevant, accurate, and customised responses.
Mendix-Amazon Bedrock integration
The Mendix-Amazon Bedrock integration complements AWS’s other generative AI services, like Amazon CodeWhisperer, a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on developers’ comments in natural language and their code.
Together, the services extend the benefits of generative AI to developers and enterprise users regardless of their programming abilities.
