WHATS Seminar Vol. 260 [Online] titled above will be held on Monday, July 6, 2026

 

[Seminar Overview]

• 2:30 PM – 3:20 PM

The Key to Successful AI Implementation: Practical Strategies for Data Preparation

With the adoption of generative AI and foundation models, building AI systems tailored to an organization's own business has become a practical option.

However, many organizations find that their AI initiatives stall at the proof-of-concept (PoC) stage or fail to deliver the expected business value after implementation. In most cases, the primary challenge is not the AI model itself, but the quality of the data used to develop and operate it.

In fact, the majority of effort in AI projects is devoted not to model development, but to the data preparation process—including data collection, data annotation (the process of labeling data for AI training), and data quality management. Despite its importance, this topic is rarely discussed in a systematic way, leaving many organizations uncertain about what needs to be prepared and where common pitfalls lie.

In this seminar, we will explain the overall data preparation process for AI development from a practitioner's perspective. From data collection through annotation, quality management, and continuous improvement, we will explain the key tasks involved in each stage and highlight the challenges that practitioners commonly encounter.

Topics:

1. Why data preparation becomes the biggest obstacle to successful AI implementation
2. Understanding the overall data preparation process
3. How to design an effective organizational structure for data preparation
    

Speaker: Shohei Uraoka, Manager, Data Technology Department, Nextremer Co., Ltd.

Mr. Uraoka has nearly 20 years of experience as a software engineer and engineering manager, leading numerous software development projects and building engineering teams. He joined Nextremer Co., Ltd. in 2026 and currently serves as Manager of the Data Technology Department.
Drawing on his extensive development experience and current work in AI, he will explain, from a practitioner's perspective, the data preparation process and organizational design that are critical to the success of AI projects.
 

• 3:20 PM – 3:30 PM

Q&A Session

[Seminar Outline]

Date and Time: 2:30PM –3:30 PM (JST), Monday, July 6, 2026

Venue: Online Live Streaming

The seminar will be live-streamed through "Deliveru", an online streaming platform provided by Facio Inc.

Fee: 5,000 yen (tax excluded) / 5,500 yen (tax included)
How to Participate:

• After completing your registration, we will send your access ID the day before the seminar.
• The live stream will be hosted on Deliveru, the event streaming platform by Facio Inc. Please click here to log in.
• Recommended System Requirements (in Japanese)
• Test Video Viewing Page
• FAQ

Registration:

 Registration For the Seminar

(You will jump to the registration page in Japanese.)

For inquiries in English, please click here.

Registration Deadline: 5:00 p.m. (JST), Friday, July 3, 2026

Notes:

・This seminar will be conducted in Japanese.
・After your registration, we will send an invoice by E-mail or postal mail.
・Please transfer the participation fee by the day before the event or within one week of receiving the invoice.
・Cancellations will not be accepted after payment.
・This seminar can also be registered via Deliveru, with payment options including credit card, convenience store payment, and Pay-easy.
​・Please note that participation may be restricted depending on the registrant’s industry or job function.

Cancellation Policy:

Cancellations made after 3:00 p.m. (JST) on the business day before the event or on the day of the event without prior notice will incur a full participation fee charge, regardless of payment status.

Contact:

For inquiries in English, please click here.
Yano Research Institute Ltd.