What are the common reasons for AI project failures?

Failures often stem from insufficient data literacy preventing understanding and utilization of AI proposals, or IT infrastructure unable to adapt to changes.

How can data literacy be improved?

It is crucial to enhance the overall data utilization capabilities of the organization and establish a PDCA cycle that enables on-site autonomy.

What specifically constitutes a flexible IT infrastructure?

It is an infrastructure that allows for data organization, rapid change response, secure tool integration, and maximizes AI capabilities.

What are the benefits of attending this seminar?

Benefits include increased probability of AI implementation success, enhanced data literacy, and concrete development of proactive modernization strategies.

When and where is the seminar held?

It will be distributed as recorded video online (ZOOM) on June 17, 2026. Participation is free.

AI News NQ Analysis

Web Seminar Co-hosted by Delivery Consulting and BlueMeme: Conditions to Avoid "80% Failure Rate in AI Projects" - Engineering "Literacy" for On-site Autonomy and Evolving "IT Infrastructure" (Recorded Distribution)

Key facts

Web Seminar Co-hosted by Delivery Consulting and BlueMeme: Conditions to Avoid "80% Failure Rate in AI Projects" - Engineering "Literacy" for On-site Autonomy and Evolving "IT Infrastructure" (Recorded Distribution)
Delivery Consulting Inc. and BlueMeme Inc. will co-host a web seminar on avoiding failure in AI projects. This seminar will focus on improving data literacy to foster on-site autonomy and engineering IT infrastructure that adapts to change.
Source: PR TIMES
Date: Thu Jun 11 2026 14:00:02 GMT+0900 (Japan Standard Time)

Direct answer

Delivery Consulting Inc. and BlueMeme Inc. will co-host a web seminar on avoiding failure in AI projects. This seminar will focus on improving data literacy to foster on-site autonomy and engineering IT infrastructure that adapts to change.

Citation: Web Seminar Co-hosted by Delivery Consulting and BlueMeme: Conditions to Avoid "80% Failure Rate in AI Projects" - Engineering "Literacy" for On-site Autonomy and Evolving "IT Infrastructure" (Recorded Distribution) (Thu Jun 11 2026 14:00:02 GMT+0900 (Japan Standard Time)), PR TIMES
Source: PR TIMES
Date: Thu Jun 11 2026 14:00:02 GMT+0900 (Japan Standard Time)

AI Summary (NQ-processed)

Delivery Consulting Inc. and BlueMeme Inc. will co-host a web seminar on avoiding failure in AI projects. This seminar will focus on improving data literacy to foster on-site autonomy and engineering IT infrastructure that adapts to change.

AI Analysis

Frequently Asked Questions

Q: What are the common reasons for AI project failures?: A: Failures often stem from insufficient data literacy preventing understanding and utilization of AI proposals, or IT infrastructure unable to adapt to changes.
Q: How can data literacy be improved?: A: It is crucial to enhance the overall data utilization capabilities of the organization and establish a PDCA cycle that enables on-site autonomy.
Q: What specifically constitutes a flexible IT infrastructure?: A: It is an infrastructure that allows for data organization, rapid change response, secure tool integration, and maximizes AI capabilities.
Q: What are the benefits of attending this seminar?: A: Benefits include increased probability of AI implementation success, enhanced data literacy, and concrete development of proactive modernization strategies.
Q: When and where is the seminar held?: A: It will be distributed as recorded video online (ZOOM) on June 17, 2026. Participation is free.