Webinar: Overcoming the Wall of Stalled Generative AI Use — Moving from 'Trials' to 'Operational Adoption'
NTT East will host a webinar to address why generative AI adoption often fails to scale beyond initial trials and introduce their 'Minx Plus Generative AI' solution with comprehensive hands-on support.
📋 Article Processing Timeline
- 📰 Published: April 28, 2026 at 18:00
- 🔍 Collected: April 28, 2026 at 10:01
- 🤖 AI Analyzed: April 28, 2026 at 17:12 (7h 10m after Collected)
■ Generative AI Usage: Moving from Trial to Operational Adoption
Generative AI usage in many companies has entered a phase where they are asked how to integrate it into actual business operations, moving beyond the 'just try it out' stage. While individual-level usage for writing, summarizing, and brainstorming is expanding, many organizations struggle to incorporate it into organizational processes.
■ Why is Generative AI Usage Not Progressing? Barriers to Operational Adoption
Many companies face challenges such as only a few employees being able to use it, security and governance concerns preventing deployment, or a lack of clarity on how to integrate PoC results into production tasks. To make generative AI an initiative that leads to results, it is crucial to organize these barriers and proceed with a plan that looks toward field adoption.
■ Explaining the Path to Operational Adoption with NTT East's Minx Plus Generative AI and Hands-on Support
In this seminar, NTT East will explain how to break out of the 'trial-only' state and establish practical use based on their 'Minx Plus Generative AI' and hands-on support. NTT East supports everything from pre-introduction planning (use case organization, policy formulation) to post-introduction support (hands-on training, guideline development).
Furthermore, they will introduce the newly released 'Multi-AI Agent' feature, where multiple AIs collaborate to perform tasks like searching and organizing internal data to document creation. This opens possibilities for complex document creation and consideration tasks that were difficult for traditional single-AI systems.
■ Recommended For:
- Those who have introduced generative AI but feel challenges in expanding its use.
- Those who want to move from 'trying' to 'operational adoption'.
- Those responsible for company-wide deployment and rule setting for AI.
- Those who want to know specific ways to proceed with generative AI that lead to results.
■ Hosts
NTT East Corporation
■ Cooperation
Open Source Utilization Institute Co., Ltd., Majisemi Co., Ltd.
Generative AI usage in many companies has entered a phase where they are asked how to integrate it into actual business operations, moving beyond the 'just try it out' stage. While individual-level usage for writing, summarizing, and brainstorming is expanding, many organizations struggle to incorporate it into organizational processes.
■ Why is Generative AI Usage Not Progressing? Barriers to Operational Adoption
Many companies face challenges such as only a few employees being able to use it, security and governance concerns preventing deployment, or a lack of clarity on how to integrate PoC results into production tasks. To make generative AI an initiative that leads to results, it is crucial to organize these barriers and proceed with a plan that looks toward field adoption.
■ Explaining the Path to Operational Adoption with NTT East's Minx Plus Generative AI and Hands-on Support
In this seminar, NTT East will explain how to break out of the 'trial-only' state and establish practical use based on their 'Minx Plus Generative AI' and hands-on support. NTT East supports everything from pre-introduction planning (use case organization, policy formulation) to post-introduction support (hands-on training, guideline development).
Furthermore, they will introduce the newly released 'Multi-AI Agent' feature, where multiple AIs collaborate to perform tasks like searching and organizing internal data to document creation. This opens possibilities for complex document creation and consideration tasks that were difficult for traditional single-AI systems.
■ Recommended For:
- Those who have introduced generative AI but feel challenges in expanding its use.
- Those who want to move from 'trying' to 'operational adoption'.
- Those responsible for company-wide deployment and rule setting for AI.
- Those who want to know specific ways to proceed with generative AI that lead to results.
■ Hosts
NTT East Corporation
■ Cooperation
Open Source Utilization Institute Co., Ltd., Majisemi Co., Ltd.