[Siemens Expert Talk Vol. 3] How is the value of low-code/no-code changing in the AI era?
Siemens is hosting a webinar to discuss the changing value of low-code/no-code tools in the age of generative AI. The session will focus on how large enterprises can ensure the reliability, transparency, and traceability required to integrate AI into their business decision-making processes, based on Siemens' Agentic Enterprise Platform (AEP) vision.
📋 Article Processing Timeline
- 📰 Published: May 21, 2026 at 18:00
- 🔍 Collected: May 21, 2026 at 09:31
- 🤖 AI Analyzed: May 21, 2026 at 14:06 (4h 35m after Collected)
## Changing Value of Low-code/No-code in the Generative AI Era
As generative AI takes over coding tasks, the traditional value proposition of low-code/no-code tools—that they allow for fast and easy development—is being redefined. What companies now truly need is a trusted AI environment that can be utilized continuously. For large enterprises, the focus is shifting from development efficiency alone to whether AI results can withstand the scrutiny of business operations and management decision-making.
## Three Pillars of Trust: Transparency, Control, and Traceability
To utilize AI as a robust foundation, large enterprises require transparency and traceability to track the data sources and logic behind AI outputs, as well as strict control over who can access and manipulate these processes. Relying solely on generic AI models leaves risks of contextless responses and hallucinations, making it impossible for companies to fulfill their accountability requirements.
## Next-Generation AI Development Platform (AEP) Proposed by Siemens
Siemens promotes the 'Agentic Enterprise Platform' (AEP) concept, which connects core business systems, operational data, and unstructured data to provide AI with necessary context. This foundation enables the validation of AI actions and enterprise-wide governance. Furthermore, through its partnership with NVIDIA, Siemens is strengthening the AI foundation to support critical business and management decisions.
In this webinar, we will analyze these market shifts and discuss how enterprises should select the appropriate AI development platforms.
As generative AI takes over coding tasks, the traditional value proposition of low-code/no-code tools—that they allow for fast and easy development—is being redefined. What companies now truly need is a trusted AI environment that can be utilized continuously. For large enterprises, the focus is shifting from development efficiency alone to whether AI results can withstand the scrutiny of business operations and management decision-making.
## Three Pillars of Trust: Transparency, Control, and Traceability
To utilize AI as a robust foundation, large enterprises require transparency and traceability to track the data sources and logic behind AI outputs, as well as strict control over who can access and manipulate these processes. Relying solely on generic AI models leaves risks of contextless responses and hallucinations, making it impossible for companies to fulfill their accountability requirements.
## Next-Generation AI Development Platform (AEP) Proposed by Siemens
Siemens promotes the 'Agentic Enterprise Platform' (AEP) concept, which connects core business systems, operational data, and unstructured data to provide AI with necessary context. This foundation enables the validation of AI actions and enterprise-wide governance. Furthermore, through its partnership with NVIDIA, Siemens is strengthening the AI foundation to support critical business and management decisions.
In this webinar, we will analyze these market shifts and discuss how enterprises should select the appropriate AI development platforms.
FAQ
What AI implementation challenges will be addressed?
The webinar addresses issues such as lack of context from generic AI tools, hallucination risks, and the absence of accountability and governance in enterprise settings.
What are the key points of Siemens' AI infrastructure?
The key points are integrating corporate data with AI, validating AI actions (transparency/traceability), and company-wide governance (control).
Who should attend this webinar?
It is intended for decision-makers and leads in IT, digital transformation, or corporate planning departments at companies with over 1,000 employees.