Holding a Webinar on the Theme '[Re-broadcast] [For Large Enterprises] How to Proceed with Dify Utilization Led by the Field'
JTP Co., Ltd. will hold a webinar to explain how large enterprises can utilize the low-code AI workflow tool 'Dify'. It will cover security requirements, licenses, and solutions for Azure environment construction.
📋 Article Processing Timeline
- 📰 Published: March 30, 2026 at 18:00
- 🔍 Collected: March 30, 2026 at 22:56 (4h 56m after Published)
- 🤖 AI Analyzed: April 22, 2026 at 07:22 (536h 26m after Collected)
■ 'Dify', a new standard for business AI automation that allows you to build AI workflows with low code
As the business use of generative AI progresses, there is a growing need to design and verify AI apps and AI workflows that reflect on-site business operations and decision-making processes with our own hands. Dify is attracting attention as a foundation that allows you to build AI apps while assembling workflows with low code, and its feature is that it is easy to consider AI utilization in line with business without specialized development skills. Since it can be started from simple flow creation, verification mainly by business departments and trials of small use cases have become possible.
■ The wall to production operation - How to master it led by the field?
There are many cases where people stay in trial and error without being able to draw a concrete picture, such as 'We cannot master AI and it does not reach production operation' or 'We are unsure which tasks should be entrusted to AI in what kind of flow'. Especially when looking ahead to production operation, many issues stand in the way, such as license selection, enterprise features, and security requirements.
■ Organizing licenses and use cases to be considered in Dify
In this seminar, we will organize and explain in an easy-to-understand manner the issues that must be considered when looking ahead to the production operation of Dify, such as the concept of licenses, enterprise features, and security requirements in organizational use. We will also introduce the 'Third AI Dify Construction Support Solution', which consistently supports everything from license selection to the construction of a highly secure usage environment on Azure, and the establishment of utilization after introduction.
JTP utilizes the know-how of customer success cultivated through the introduction of generative AI to more than 130 companies so far, and supports continuous AI utilization beyond verification in an accompanying manner. Centering on information useful for considering actual introduction, we will also introduce use cases of AI apps and workflows that can be built with Dify, and while interweaving a simple flow creation demo, it is content that allows you to have a concrete image for production utilization led by the field.
*JTP is an official service partner of LangGenius, which provides 'Dify'.
■ Organizer/Co-organizer
JTP Co., Ltd.
■ Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.
Majisemi will continue to hold webinars that are 'useful for participants'.
As the business use of generative AI progresses, there is a growing need to design and verify AI apps and AI workflows that reflect on-site business operations and decision-making processes with our own hands. Dify is attracting attention as a foundation that allows you to build AI apps while assembling workflows with low code, and its feature is that it is easy to consider AI utilization in line with business without specialized development skills. Since it can be started from simple flow creation, verification mainly by business departments and trials of small use cases have become possible.
■ The wall to production operation - How to master it led by the field?
There are many cases where people stay in trial and error without being able to draw a concrete picture, such as 'We cannot master AI and it does not reach production operation' or 'We are unsure which tasks should be entrusted to AI in what kind of flow'. Especially when looking ahead to production operation, many issues stand in the way, such as license selection, enterprise features, and security requirements.
■ Organizing licenses and use cases to be considered in Dify
In this seminar, we will organize and explain in an easy-to-understand manner the issues that must be considered when looking ahead to the production operation of Dify, such as the concept of licenses, enterprise features, and security requirements in organizational use. We will also introduce the 'Third AI Dify Construction Support Solution', which consistently supports everything from license selection to the construction of a highly secure usage environment on Azure, and the establishment of utilization after introduction.
JTP utilizes the know-how of customer success cultivated through the introduction of generative AI to more than 130 companies so far, and supports continuous AI utilization beyond verification in an accompanying manner. Centering on information useful for considering actual introduction, we will also introduce use cases of AI apps and workflows that can be built with Dify, and while interweaving a simple flow creation demo, it is content that allows you to have a concrete image for production utilization led by the field.
*JTP is an official service partner of LangGenius, which provides 'Dify'.
■ Organizer/Co-organizer
JTP Co., Ltd.
■ Cooperation
Open Source Utilization Research Institute Co., Ltd.
Majisemi Co., Ltd.
Majisemi will continue to hold webinars that are 'useful for participants'.