公益社団法人日本プラントメンテナンス協会 Official site

[On-Demand Seminar] Introduction of AI Utilization Cases in the Conservation Field

We will introduce examples of fault prediction and accident prevention using AI utilized in the manufacturing industry!

●Overview and Objectives - Recently, the spread of COVID-19 has advanced work style reforms, and in the manufacturing industry, the promotion of DX (Digital Transformation), particularly the use of AI, continues to attract significant attention. To ensure that this does not end as just a buzzword and to fundamentally improve operational efficiency, it is essential to promote projects based on a deep understanding of company-specific challenges in addition to knowledge of AI. - In this course, we will introduce case studies of AI implementation in the manufacturing industry, presented by Cinnamon AI, which has a track record of AI adoption in this sector. We hope that by watching this, you will find hints to solve the challenges you face in your own environment.

Related Link - https://info-jipm.jp/seminar/27454/

basic information

★Part 1: Cinnamon AI Company Introduction ★Part 2: Introduction to AI (Overview of Artificial Intelligence and Technology) ★Part 3: Case Study on Failure Prediction Using Time Series Data ★Part 4: Case Study on Accident Prevention Using Near Misses

Price information

Free

Delivery Time

Applications/Examples of results

●Target Audience  ◎Those who want to learn more about the basics of AI  ◎Those who feel the need for AI implementation in their company  ◎Those interested in improving manufacturing process efficiency and business operations

2025 Human Resource Development Comprehensive Guide_Online Seminar

PRODUCT

Comprehensive Guide to Human Resource Development 2025

CATALOG

Recommended products

Distributors

By supporting the resolution of issues related to the improvement of productivity, equipment management technology, and maintenance techniques and skills, we will contribute to the promotion of safe, secure, and stable production and maintenance activities in the industrial sector, as well as the stabilization and enhancement of quality.