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: June 11, 2026
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) (June 11, 2026), PR Times
- Source
- PR Times
- Date
- June 11, 2026
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.
📋 Article Processing Timeline
- 📰 Published: June 11, 2026 at 14:00
- 🔍 Collected: June 11, 2026 at 14:27 (27 min after Published)
- 🤖 AI Analyzed: June 12, 2026 at 16:51 (26h 24m after Collected)
Delivery Consulting Inc. (Headquarters: Minato-ku, Tokyo; CEO: Hidejiro Naito), which supports the transformation into data-driven companies through the improvement of data literacy, will hold a web seminar co-hosted with BlueMeme Inc. (Headquarters: Chiyoda-ku, Tokyo; Representative Director: Masanori Matsuoka).
■ Theme
Conditions to Avoid "80% Failure Rate in AI Projects"
- Engineering "Literacy" for On-site Autonomy and Evolving "IT Infrastructure" -
■ Participation Application
https://service.deliv.co.jp/seminor/20260617
■ Seminar Overview
To unlock the true value of AI, it is essential not only to enhance individual capabilities but also to raise the organization's overall "ability to use data (data literacy)" and to have a flexible IT infrastructure that supports that AI.
If data literacy is insufficient, AI proposals may not be understood and left unattended, or the causes of errors cannot be identified and linked to corrections and improvements. Delivery Consulting will explain how to create a PDCA cycle that enhances data literacy across the entire organization and enables the site to operate autonomously.
Furthermore, AI cannot function to its full potential without a foundation where data is properly organized, changes can be made quickly, and it can safely integrate with necessary tools. BlueMeme will explain "proactive modernization" for a flexible IT infrastructure required to adapt to the AI era.
■ Expected Outcomes
* Improvement of data literacy and enhancement of on-site autonomy throughout the organization
* Design of a PDCA-based data operation model for understanding, verifying, and improving AI proposals
* Concrete realization of a "proactive modernization" strategy combining flexible IT infrastructure and development methodologies
* Increased investment efficiency and improved success rates for AI utilization preparation
■ Event Details
Date and Time
June 17, 2026 (Wednesday) 11:00 - 12:00 *Recorded distribution
Participation Fee
Free
Capacity
100 people
Venue
Online (ZOOM)
■ Speaker Profiles
Hirōshi Shimizu, Inside Sales Department, Sales Division, BlueMeme Inc.
Previously experienced embedded software development and server operations and maintenance as a system engineer. After joining BlueMeme in April 2022, he has been involved in consulting on system development challenges for various clients as an inside sales representative.
Toyonobu Shibata, CBDO (Chief Business Development Officer), Delivery Consulting Inc.
As a management consultant for over 10 years, he has been involved in management reform, business process reform, and IT system planning and implementation consulting across diverse industries including manufacturing, services, and energy. In recent years, he was responsible for solution development at a foreign software vendor, creating automation solutions utilizing RPA, AI, and IoT.
For details and important notes, please check the participation application page above.
■ About Delivery Consulting Inc.
Delivery Consulting Inc. is a technology consulting firm that realizes the transformation into data-driven companies through dual support: measuring, diagnosing, and improving corporate data literacy, and DX consulting in collaboration with tech partners. Since its establishment in 2003, based on deep knowledge of technology, the company has expanded its services from system development to IT consulting, earning high trust from its clients and growing its business with multiple bases domestically and internationally. In 2016, it changed its trade name to an independent technology consulting company. In 2021, it was listed on the Tokyo Stock Exchange's Mothers market (now Growth market), aiming for further business growth.
Website: https://www.deliv.co.jp/
Service Site: https://service.deliv.co.jp/
■ Theme
Conditions to Avoid "80% Failure Rate in AI Projects"
- Engineering "Literacy" for On-site Autonomy and Evolving "IT Infrastructure" -
■ Participation Application
https://service.deliv.co.jp/seminor/20260617
■ Seminar Overview
To unlock the true value of AI, it is essential not only to enhance individual capabilities but also to raise the organization's overall "ability to use data (data literacy)" and to have a flexible IT infrastructure that supports that AI.
If data literacy is insufficient, AI proposals may not be understood and left unattended, or the causes of errors cannot be identified and linked to corrections and improvements. Delivery Consulting will explain how to create a PDCA cycle that enhances data literacy across the entire organization and enables the site to operate autonomously.
Furthermore, AI cannot function to its full potential without a foundation where data is properly organized, changes can be made quickly, and it can safely integrate with necessary tools. BlueMeme will explain "proactive modernization" for a flexible IT infrastructure required to adapt to the AI era.
■ Expected Outcomes
* Improvement of data literacy and enhancement of on-site autonomy throughout the organization
* Design of a PDCA-based data operation model for understanding, verifying, and improving AI proposals
* Concrete realization of a "proactive modernization" strategy combining flexible IT infrastructure and development methodologies
* Increased investment efficiency and improved success rates for AI utilization preparation
■ Event Details
Date and Time
June 17, 2026 (Wednesday) 11:00 - 12:00 *Recorded distribution
Participation Fee
Free
Capacity
100 people
Venue
Online (ZOOM)
■ Speaker Profiles
Hirōshi Shimizu, Inside Sales Department, Sales Division, BlueMeme Inc.
Previously experienced embedded software development and server operations and maintenance as a system engineer. After joining BlueMeme in April 2022, he has been involved in consulting on system development challenges for various clients as an inside sales representative.
Toyonobu Shibata, CBDO (Chief Business Development Officer), Delivery Consulting Inc.
As a management consultant for over 10 years, he has been involved in management reform, business process reform, and IT system planning and implementation consulting across diverse industries including manufacturing, services, and energy. In recent years, he was responsible for solution development at a foreign software vendor, creating automation solutions utilizing RPA, AI, and IoT.
For details and important notes, please check the participation application page above.
■ About Delivery Consulting Inc.
Delivery Consulting Inc. is a technology consulting firm that realizes the transformation into data-driven companies through dual support: measuring, diagnosing, and improving corporate data literacy, and DX consulting in collaboration with tech partners. Since its establishment in 2003, based on deep knowledge of technology, the company has expanded its services from system development to IT consulting, earning high trust from its clients and growing its business with multiple bases domestically and internationally. In 2016, it changed its trade name to an independent technology consulting company. In 2021, it was listed on the Tokyo Stock Exchange's Mothers market (now Growth market), aiming for further business growth.
Website: https://www.deliv.co.jp/
Service Site: https://service.deliv.co.jp/
FAQ
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.