【2,000 Applicants Exceeded】The Two Major Obstacles to AI Development and Operational Expansion are "Governance Compliance" and "Keeping Pace with Technological Speed" – "AI Engineering Summit Tokyo 2026" Now Accepting Registrations!
Findy Co., Ltd. announced that the number of applicants for its "AI Engineering Summit Tokyo 2026," a large-scale conference specializing in AI engineering, has surpassed 2,000. A survey conducted among applicants revealed that the two major obstacles to expanding AI development and operations are "governance compliance" and "keeping pace with technological speed." The conference aims to address these challenges.
📋 Article Processing Timeline
- 📰 Published: May 8, 2026 at 19:00
- 🔍 Collected: May 8, 2026 at 10:31
- 🤖 AI Analyzed: May 9, 2026 at 02:37 (16h 5m after Collected)
Findy Co., Ltd. (Shinagawa-ku, Tokyo; Representative Director: Yuichiro Yamada, hereinafter "the Company"), which provides an engineer platform, is pleased to announce that the number of applicants for its large-scale conference, "AI Engineering Summit Tokyo 2026," specialized in the AI engineering domain, has surpassed 2,000. Concurrently, we are pleased to introduce new sessions and speakers based on the results of a survey conducted among registered participants.
Click here to register
◆ What is "AI Engineering Summit Tokyo 2026"?
"AI Engineering Summit Tokyo 2026" is a conference specializing in the AI engineering domain. Since the start of registrations, we have received an overwhelming response, and the number of applicants has now exceeded 2,000.
Date and Time:
June 8th (Monday) and 9th (Tuesday), 2026
Format:
Offline with partial online streaming (free/pre-registration required)
Venue:
Hamamatsucho Convention Hall (Hamamatsucho, Tokyo)
Application URL:
https://ai-engineering-summit-tokyo.findy-tools.io/2026-summer
Organizer:
Findy Co., Ltd.
Target Audience:
・Engineers involved in AI tool/agent development
・Engineers utilizing AI tools/agents for development
・Engineers promoting AI infrastructure construction
・Engineers promoting AI utilization, AI promoters/leaders
◆ Survey Results from Registered Participants
A survey on the "Actual State of AI Agent Development" was conducted among 1,002 applicants for this conference.
■ Survey Overview
Survey Period: April 7th to April 20th, 2026 (interim results)
Target: "AI Engineering Summit Tokyo 2026" applicants
Number of analyzed responses: 1,002
Organizer: Findy Co., Ltd.
■ Approximately 40% Face Two Major Obstacles in AI Development and Operational Expansion: "Governance Compliance" and "Keeping Pace with Technological Speed"
The most common major obstacle to AI development and operational expansion was "Security, Privacy, and Regulatory Compliance" at 20.4%, followed by "Speed of Technological Change" at 19.1%. These results reveal that ensuring safety and compliance while continuously catching up with rapidly evolving AI technology is a significant challenge for many companies.
In particular, addressing both governance and technological aspects is required, and building a "continuous operational system" beyond mere introduction will be key moving forward.
Question: What is currently the biggest obstacle to fully expanding AI development and operations?
■ Approximately 40% of AI Agents are Autonomous to Production Operations, but High-Risk Areas are Limited
It was revealed that approximately 44% of respondents allow AI agents to perform autonomous operations beyond mere reading, such as updating internal data and deploying to production environments. However, companies entrusting high-risk areas such as monetary payments, orders, and external information dissemination to AI are limited.
These results suggest that while companies are steadily advancing the use of AI agents, they maintain a cautious stance on high-risk areas, indicating a progression towards "gradual autonomy."
Question: What is the maximum scope where you fully entrust AI in the AI agents you develop and introduce?
■ Hints to Overcome the Barriers of AI Introduction and Development Gather Here
This survey revealed that "Security, Privacy, and Regulatory Compliance" and "Keeping Pace with Technological Change" are significant challenges in the expansion of AI development and operations. It also indicated that while AI agent autonomy is advancing, their use in high-risk areas remains cautious.
At this event, engineers, product managers, and technical leaders facing these on-site challenges will take the stage to share cutting-edge examples and initiatives in AI utilization and development. The event will provide hints for participants to advance AI introduction and development within their own companies.
◆ Introduction of Additional Speakers
We are also pleased to announce new sessions and speakers.
A talk session on the theme "The Forefront of AI Agent Utilization in the Financial Industry" has been decided, featuring Dominic Cooney (Software Engineer) from Cline and Yuichi Kuroda (Assistant General Manager, AI Solution Department) from Mitsubishi UFJ Information Technology Co., Ltd.
Furthermore, "Cutting-edge development in the era of AI agents
Click here to register
◆ What is "AI Engineering Summit Tokyo 2026"?
"AI Engineering Summit Tokyo 2026" is a conference specializing in the AI engineering domain. Since the start of registrations, we have received an overwhelming response, and the number of applicants has now exceeded 2,000.
Date and Time:
June 8th (Monday) and 9th (Tuesday), 2026
Format:
Offline with partial online streaming (free/pre-registration required)
Venue:
Hamamatsucho Convention Hall (Hamamatsucho, Tokyo)
Application URL:
https://ai-engineering-summit-tokyo.findy-tools.io/2026-summer
Organizer:
Findy Co., Ltd.
Target Audience:
・Engineers involved in AI tool/agent development
・Engineers utilizing AI tools/agents for development
・Engineers promoting AI infrastructure construction
・Engineers promoting AI utilization, AI promoters/leaders
◆ Survey Results from Registered Participants
A survey on the "Actual State of AI Agent Development" was conducted among 1,002 applicants for this conference.
■ Survey Overview
Survey Period: April 7th to April 20th, 2026 (interim results)
Target: "AI Engineering Summit Tokyo 2026" applicants
Number of analyzed responses: 1,002
Organizer: Findy Co., Ltd.
■ Approximately 40% Face Two Major Obstacles in AI Development and Operational Expansion: "Governance Compliance" and "Keeping Pace with Technological Speed"
The most common major obstacle to AI development and operational expansion was "Security, Privacy, and Regulatory Compliance" at 20.4%, followed by "Speed of Technological Change" at 19.1%. These results reveal that ensuring safety and compliance while continuously catching up with rapidly evolving AI technology is a significant challenge for many companies.
In particular, addressing both governance and technological aspects is required, and building a "continuous operational system" beyond mere introduction will be key moving forward.
Question: What is currently the biggest obstacle to fully expanding AI development and operations?
■ Approximately 40% of AI Agents are Autonomous to Production Operations, but High-Risk Areas are Limited
It was revealed that approximately 44% of respondents allow AI agents to perform autonomous operations beyond mere reading, such as updating internal data and deploying to production environments. However, companies entrusting high-risk areas such as monetary payments, orders, and external information dissemination to AI are limited.
These results suggest that while companies are steadily advancing the use of AI agents, they maintain a cautious stance on high-risk areas, indicating a progression towards "gradual autonomy."
Question: What is the maximum scope where you fully entrust AI in the AI agents you develop and introduce?
■ Hints to Overcome the Barriers of AI Introduction and Development Gather Here
This survey revealed that "Security, Privacy, and Regulatory Compliance" and "Keeping Pace with Technological Change" are significant challenges in the expansion of AI development and operations. It also indicated that while AI agent autonomy is advancing, their use in high-risk areas remains cautious.
At this event, engineers, product managers, and technical leaders facing these on-site challenges will take the stage to share cutting-edge examples and initiatives in AI utilization and development. The event will provide hints for participants to advance AI introduction and development within their own companies.
◆ Introduction of Additional Speakers
We are also pleased to announce new sessions and speakers.
A talk session on the theme "The Forefront of AI Agent Utilization in the Financial Industry" has been decided, featuring Dominic Cooney (Software Engineer) from Cline and Yuichi Kuroda (Assistant General Manager, AI Solution Department) from Mitsubishi UFJ Information Technology Co., Ltd.
Furthermore, "Cutting-edge development in the era of AI agents