#None #AI Market #LLM #RAG

Unlocking the Potential of Large Language Models for Businesses

In today's evolving business landscape, the utilization of Generative AI has become increasingly pivotal. Companies are often left wondering how to effectively implement Large Language Models (LLMs) within their operations. This conundrum has prompted many organizations to seek guidance on what steps they should take first and which strategies will yield the best results.

To address these concerns, the upcoming webinar hosted by AI Market aims to elucidate successful patterns of LLM applications by focusing on three core elements: RAG (Retrieval-Augmented Generation), agents, and AI Ready Data. Five leading companies that are at the forefront of implementing and operating LLMs will share their firsthand experiences, outlining their journeys in adoption, enhancement, and operation.

Participants from all backgrounds, whether new to LLMs or those who have begun small-scale implementations or Proofs of Concept (PoC), will gain practical insights on how to leverage LLMs effectively in their specific contexts. It's designed to provide a comprehensive overview, allowing attendees to learn quickly yet deeply about actionable measures they can take.

By hearing from multiple presenters, attendees can draw comparisons and identify common threads across various cases while also gaining clarity on common hurdles and challenges faced during implementations. The content is accessible to all, ensuring even non-technical attendees can grasp the key takeaways.

Webinar Agenda:

The event is set to unfold on November 12, 2025, from 12:00 PM to 3:30 PM online. The agenda includes several engaging sessions:

1. Cloud vs. Local LLMs: Optimal AI Infrastructure Design
Presented by Daigo Miyoshi, Founder and CEO of Libelcraft. In this session, participants will explore cost, security, and precision challenges while implementing Generative AI in business operations. Attendees will learn from real examples, including local LLM usage strategies based on RAG operations and the organization of AI Ready Data.

2. Achieving “Reliability, Response Accuracy, and Autonomy” with RAG and AI Agents
Presented by Kazumasa Saito, CEO of Hakky. This session aims to dissect the reasons behind the shortcomings of many RAG implementations and will provide a detailed development strategy to achieve high levels of reliability and response accuracy through the combination of RAG and AI agents.

3. Foundations Matter: Structuring for Successful AI Utilization
Presented by Yoshiyuki Aoyama, Group Leader at Human Science. Focusing on the importance of well-organized documents and knowledge structures, this session will illustrate how companies can significantly boost AI effectiveness by addressing foundational gaps.

4. Knowledge Asset Creation: Leveraging Implicit Knowledge with RAG
Presented by Naoki Enokida, Consultant at Sapeet. This presentation will introduce an innovative approach to turning veterans' implicit knowledge into valuable assets through RAG technology, enhancing decision-making precision in the field.

5. Streamlined Solutions: Enhancing On-Site Proposals through AI
Presented by Yoshihiro Ohashi, Project Manager at Kobe Digital Lab. The focus will be on demonstrating how AI can facilitate rapid and quality on-site improvements, effectively assisting industries that operate in the field by automating problem identification and solution proposals.

In addition to these insightful sessions, webinar attendees will have the chance to engage directly with speakers and fellow participants to discuss ongoing challenges and share solutions.

This event is free but requires prior registration, ensuring that all industry professionals eager to explore AI's potential are accommodated.

Why Attend?

This webinar is highly recommended for those looking to implement LLMs or RAG technologies in their organizations, individuals who are already involved in small-scale PoCs yet seek clarity on scaling up, and anyone eager to see the complete picture of RAG, agents, and data organization in relation to AI technology.

Don't miss this opportunity to gain practical knowledge that can drive your organization forward in the world of AI!