Siemens Expert Talk Vol. 2: Why AI App Development Stalls at Individual Projects and Fails to Scale Enterprise-Wide
Siemens K.K. will host a webinar focused on scaling AI applications across large enterprises. Using their low-code platform 'Mendix,' they will introduce the concept of an 'AI App Factory' to overcome common hurdles in AI implementation and continuous improvement.
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- 📰 Published: April 27, 2026 at 18:00
- 🔍 Collected: April 27, 2026 at 09:31
- 🤖 AI Analyzed: April 28, 2026 at 01:54 (16h 22m after Collected)
Detailed application and registration are available here.
### The Three-Layer Foundation Connecting AI to Business
To make AI truly functional for business, simply creating a model is not enough. The 'Three-Layer Foundation' consists of a Data Integration layer that connects fragmented structured and unstructured data, a Development & Operations layer for continuous AI evolution, and an Application Implementation layer that integrates AI into on-site business processes. Only when these three layers work in harmony can AI move beyond isolated validation and start creating real business value.
### Why AI App Development Loses Momentum in Enterprise-Wide Rollouts
A key reason why AI development fails to scale is that projects often proceed within individual departments without a framework for reuse or horizontal expansion. Furthermore, when development tools and data/AI engineering environments are fragmented, the flow from requirements gathering to implementation, testing, and improvement becomes dependent on specific individuals. As a result, even well-made apps cannot be nurtured continuously, causing them to stall at the PoC (Proof of Concept) or local optimization stage.
### What is the Mendix-driven 'AI App Factory' for Accelerating SDLC?
In this seminar, based on Siemens' low-code platform Mendix, we will introduce a philosophy for ensuring AI applications don't end as isolated developments but are continuously deployed and improved. Mendix provides a structure that supports the entire Software Development Life Cycle (SDLC)—from business requirement organization and prototyping to screen/logic generation, testing, and operational improvement. This framework enables the acceleration of development-to-improvement cycles using AI. We view this system as an 'AI App Factory' and will explain the overall picture of how to generate and grow AI apps in a way that is easy to scale enterprise-wide.
### Recommended For
- Large enterprise professionals building foundations to connect AI to business but facing challenges in scaling and continuous improvement.
- Those in Corporate Planning, DX Promotion, IT Systems, or Business Units who want to expand AI apps in a reusable format.
- Those looking to use low-code to accelerate the development-to-improvement cycle.
### Organizers and Partners
- Organizer: Siemens K.K.
- Cooperation: Open Source Management Institute, Majisemi K.K.
Detailed application and registration are available here.
Majisemi will continue to hold webinars that are 'useful for participants.' Past seminar materials and other open seminars can be viewed here.
Majisemi K.K.
Shiodome Building 3F, 1-2-20 Kaigan, Minato-ku, Tokyo 105-0022
Contact: https://majisemi.com/service/contact/
### The Three-Layer Foundation Connecting AI to Business
To make AI truly functional for business, simply creating a model is not enough. The 'Three-Layer Foundation' consists of a Data Integration layer that connects fragmented structured and unstructured data, a Development & Operations layer for continuous AI evolution, and an Application Implementation layer that integrates AI into on-site business processes. Only when these three layers work in harmony can AI move beyond isolated validation and start creating real business value.
### Why AI App Development Loses Momentum in Enterprise-Wide Rollouts
A key reason why AI development fails to scale is that projects often proceed within individual departments without a framework for reuse or horizontal expansion. Furthermore, when development tools and data/AI engineering environments are fragmented, the flow from requirements gathering to implementation, testing, and improvement becomes dependent on specific individuals. As a result, even well-made apps cannot be nurtured continuously, causing them to stall at the PoC (Proof of Concept) or local optimization stage.
### What is the Mendix-driven 'AI App Factory' for Accelerating SDLC?
In this seminar, based on Siemens' low-code platform Mendix, we will introduce a philosophy for ensuring AI applications don't end as isolated developments but are continuously deployed and improved. Mendix provides a structure that supports the entire Software Development Life Cycle (SDLC)—from business requirement organization and prototyping to screen/logic generation, testing, and operational improvement. This framework enables the acceleration of development-to-improvement cycles using AI. We view this system as an 'AI App Factory' and will explain the overall picture of how to generate and grow AI apps in a way that is easy to scale enterprise-wide.
### Recommended For
- Large enterprise professionals building foundations to connect AI to business but facing challenges in scaling and continuous improvement.
- Those in Corporate Planning, DX Promotion, IT Systems, or Business Units who want to expand AI apps in a reusable format.
- Those looking to use low-code to accelerate the development-to-improvement cycle.
### Organizers and Partners
- Organizer: Siemens K.K.
- Cooperation: Open Source Management Institute, Majisemi K.K.
Detailed application and registration are available here.
Majisemi will continue to hold webinars that are 'useful for participants.' Past seminar materials and other open seminars can be viewed here.
Majisemi K.K.
Shiodome Building 3F, 1-2-20 Kaigan, Minato-ku, Tokyo 105-0022
Contact: https://majisemi.com/service/contact/