The key to utilizing generative AI is the quality of the input data.
In particular, if the accuracy of speech recognition is insufficient, it becomes difficult to fully leverage the value of generative AI,
making it less likely to achieve the expected results.

This webinar will explain the latest trends in generative AI utilization and key points for effective implementation and operation.
Furthermore, a demonstration will showcase a solution that combines AmiVoice's high-precision speech recognition with AcroChatAI's AgenticRAG,
enabling operators to instantly obtain optimal responses during conversations.
We will also provide specific examples of
how improvements in speech recognition accuracy can enhance the accuracy of generative AI and operational efficiency.

If you are interested in improving customer service efficiency or leveraging generative AI, please take this opportunity to watch.

■ What you will learn from this seminar

・The latest trends and practical points for successful implementation of generative AI
・A real-time support system that combines generative AI and speech recognition
・The importance of improving speech recognition accuracy in the workplace and the specific effects of customization

■ Who should attend

・Contact center operations staff
・People in charge of DX/AI promotion departments and information systems departments of companies
・Those who are concerned about the use of generative AI and the improvement of speech recognition

Click here for details and application

	Generative AI to dramatically improve business efficiency The latest trends in generative AI and new value created by speech recognition and RAG Examples of generative AI use that can only be achieved with AmiVoice
Viewing period	June 29 (Monday) - September 29 (Tuesday)
Entry fee	Free
Viewing time	About 60 minutes You can repeatedly review points of interest, and you can also pause the video and resume watching later.
Viewing Method	If you apply through the form, you will receive a viewing URL in an automatic reply email.
Contents	Session 1: Latest trends in generative AI and key points for success Speaker: Yuki Iida (Amazon Web Services Japan, LLC) It has been about three years since generative AI first appeared before us, and its use in companies is steadily expanding. The technology is evolving at a remarkable pace, with more advanced applications being developed every day. However, despite being enthusiastic about implementing generative AI, many organizations are not seeing satisfactory results. In this session, we will provide an overview of the latest trends in the use of generative AI and introduce specific points for achieving effective implementation and utilization. Session 2: Realizing real-time RAG to streamline customer support responses – AmiVoice speech recognition × AcroChatAI AI assistant – Speaker: Koji Ishida (Acroquest Technology Co., Ltd.) Support operators at contact centers and other facilities by utilizing generative AI and a knowledge base of real-time answers. Addressing issues such as the personalization of inquiries and the time it takes to respond, AmiVoice's speech recognition and AcroChatAI's AgenticRAG combine to automatically interpret questions and provide answers in real time. This creates an environment where operators can instantly obtain the most appropriate answers and information during a conversation. In this session, we will introduce how this system works and the benefits of its implementation, including a demo. Session 3: Speech recognition determines the success of generative AI Speaker: Asuka Yoshida (Advanced Media, Inc.) The key to utilizing generative AI lies in the quality of the input data. In particular, insufficient accuracy in speech recognition is a major barrier to fully realizing the value of generative AI. In this session, we will introduce the importance of improving speech recognition accuracy in the workplace and the specific effects of customizing it for each company.
Speakers	Yuki Iida (Partner Solutions Architect, Technology Solutions Division, Partner Technology Headquarters, Amazon Web Services Japan, LLC) He has worked in engineering and management roles at startups and ventures that primarily provide in-house developed services, and at AWS he is responsible for providing technical support to alliance partners in the ISV/SaaS field. Koji Ishida (Senior Solution Architect, Social Infrastructure Innovation Group, Acroquest Technology Inc.) He is engaged in the design, construction, and operation of cloud-native systems utilizing AWS. He provides services ranging from proposing cloud systems to developing and building them for a wide range of industries, including manufacturing, agriculture, and logistics, with a focus on enterprise clients. Most recently, he has been in charge of implementing a RAG/AI agent system using Amazon Bedrock. AWS Certified Solutions Architect – Professional, AWS Certified DevOps Engineer – Professional. Asuka Yoshida (Sales Leader, Partner Promotion Group, PFD & O Department, Advanced Media, Inc.) She is involved in proposing and supporting the implementation of speech recognition APIs, and has promoted speech recognition integration with cloud and on-premise services in a wide range of industries, including manufacturing, finance, and healthcare, to improve business efficiency. In recent years, she has been combining speech recognition technology with generative AI to design future communication experiences and new business utilization models.
Notes	*Please note that on-demand filming and recording are not permitted. *Content may change without notice. *Applications from competing companies may be rejected.
Contact Us	Advanced Media, Inc. Webinar Office E-Mail: ami-pfdo-webinar-ml@advanced-media.co.jp

Click here for details and application