[Rebroadcast] Webinar Held on the Theme: "For Large Enterprises: How to Start Dify Implementation Led by Frontline Teams"

Q: What are the key facts in this article?

This webinar addresses how large enterprises can leverage Dify, a low-code AI workflow platform, to drive AI adoption from the ground up. It covers essential considerations for production, including licensing, security, and enterprise features, while introducing JTP's support solutions for sustainable AI integration.

Q: What is the direct answer?

This webinar addresses how large enterprises can leverage Dify, a low-code AI workflow platform, to drive AI adoption from the ground up. It covers essential considerations for production, including licensing, security, and enterprise features, while introducing JTP's support solutions for sustainable AI integration.

Q: What is the source and date?

Source: https://prtimes.jp/main/html/rd/p/000004947.000054842.html | Date: Date unavailable

■ Dify: The New Standard for Business AI Automation, Enabling Low-Code AI Workflow Construction As the business use of generative AI advances, there is a growing need for teams to design and verify AI applications and workflows that reflect their specific operational tasks and decision-making processes. Dify is gaining attention as a platform that allows users to build AI applications by assembling workflows with low-code, making it easy to consider AI utilization tailored to business needs without requiring specialized development skills. Because it allows users to start with simple flow creation, it enables verification led by business departments and the testing of small-scale use cases. ■ The Barrier to Production: How Can Frontline Teams Master It? Many cases remain stuck in trial-and-error phases, with teams struggling to visualize concrete applications, often citing issues like "we can't master the AI, so it never reaches production" or "we are unsure which tasks to entrust to AI and what workflows to use." Especially when looking toward production, many challenges arise, such as license selection, enterprise features, and security requirements. ■ Introducing Licensing Considerations and Use Cases for Dify In this seminar, we will organize and explain in an easy-to-understand manner the key points that must be considered when planning for Dify production, including licensing strategies, enterprise features, and security requirements for organizational use. We will also introduce the "Third AI Dify Construction Support Solution," which provides end-to-end support from license selection and the construction of a high-security environment on Azure to ensuring long-term adoption after implementation. Leveraging the customer success expertise cultivated through introducing generative AI to over 130 companies, JTP provides hands-on support for continuous AI utilization that goes beyond mere verification. Focusing on information useful for actual implementation plan

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