Brycen to Speak at Online Event 'THE AI 2026'
Key facts
- Brycen to Speak at Online Event 'THE AI 2026'
- Brycen Co., Ltd. will speak at the online event 'THE AI 2026' on June 5, 2026, discussing the evolution of Physical AI and data infrastructure in the manufacturing industry.
- Source: PR Times
- Date: June 5, 2026
Direct answer
Brycen Co., Ltd. will speak at the online event 'THE AI 2026' on June 5, 2026, discussing the evolution of Physical AI and data infrastructure in the manufacturing industry.
- Citation
- Brycen to Speak at Online Event 'THE AI 2026' (June 5, 2026), PR Times
- Source
- PR Times
- Date
- June 5, 2026
Brycen Co., Ltd. will speak at the online event 'THE AI 2026' on June 5, 2026, discussing the evolution of Physical AI and data infrastructure in the manufacturing industry.
📋 Article Processing Timeline
- 📰 Published: June 5, 2026 at 02:11
- 🔍 Collected: June 4, 2026 at 17:25
- 🤖 AI Analyzed: June 6, 2026 at 23:03 (53h 37m after Collected)
Brycen Co., Ltd. (Headquarters: Chuo-ku, Tokyo; President and CEO: Masaru Fujiki; hereinafter 'Brycen') is pleased to announce that it will speak at the online event 'THE AI 2026' (organized by Ledge.ai) to be held on Friday, June 5, 2026.
In this lecture, we will organize the direction of the evolution of Physical AI, focusing on the manufacturing industry, and the current state of the data infrastructure that supports implementation in autonomous driving, factory operations, and inspection automation. Based on insights gained through Brycen's data engineering business, we will consider the direction of data preparation that companies should undertake in the future.
[Speaker Overview]
■ Event Name: THE AI 2026
■ Organizer: Ledge.ai
■ Date and Time: Friday, June 5, 2026, 16:35-17:00
■ Format: Online
■ Participation Fee: Free
■ Lecture Title:
Data Engineering in the Age of Physical AI
- The History of Physical AI in Manufacturing and the Current and Future State of the Data Infrastructure Supporting Physical AI -
■ Registration: https://ledge-the-ai-2026.studio.site/#contact
[Lecture Overview]
In March 2026, NVIDIA's Jensen Huang stated, 'Physical AI has arrived,' presenting Physical AI as an important growth area. Currently, Physical AI is rapidly being utilized in industrial fields related to real space, such as autonomous driving (AD/ADAS), factory and plant operations, and inspection automation.
Through its data engineering business, Brycen has supported the collection, storage, organization, and utilization of diverse data generated on-site. In this lecture, we will organize the direction of the evolution of Physical AI, focusing on the manufacturing industry, and the current state of the data infrastructure that supports implementation in autonomous driving, factory operations, and inspection automation.
Furthermore, we will explain how to integrate and organize data generated from cameras, sensors, equipment, robots, and business systems, and connect it to AI-driven judgment and control. We will consider the concept of 'data' necessary for the social implementation of Physical AI and the direction of data engineering that companies should address in the future.
Participation is free and online. We look forward to your participation.
[Contact Information]
Brycen Co., Ltd.
Data Engineering Solutions Headquarters
Data Engineering Solutions Sales Department
Address: 8-1 Akashicho, Chuo-ku, Tokyo
St. Luke's Tower 30F
TEL: 03-6264-7222
Email: bpo-sales@brycen.co.jp
https://annotation.brycen.co.jp/contact
In this lecture, we will organize the direction of the evolution of Physical AI, focusing on the manufacturing industry, and the current state of the data infrastructure that supports implementation in autonomous driving, factory operations, and inspection automation. Based on insights gained through Brycen's data engineering business, we will consider the direction of data preparation that companies should undertake in the future.
[Speaker Overview]
■ Event Name: THE AI 2026
■ Organizer: Ledge.ai
■ Date and Time: Friday, June 5, 2026, 16:35-17:00
■ Format: Online
■ Participation Fee: Free
■ Lecture Title:
Data Engineering in the Age of Physical AI
- The History of Physical AI in Manufacturing and the Current and Future State of the Data Infrastructure Supporting Physical AI -
■ Registration: https://ledge-the-ai-2026.studio.site/#contact
[Lecture Overview]
In March 2026, NVIDIA's Jensen Huang stated, 'Physical AI has arrived,' presenting Physical AI as an important growth area. Currently, Physical AI is rapidly being utilized in industrial fields related to real space, such as autonomous driving (AD/ADAS), factory and plant operations, and inspection automation.
Through its data engineering business, Brycen has supported the collection, storage, organization, and utilization of diverse data generated on-site. In this lecture, we will organize the direction of the evolution of Physical AI, focusing on the manufacturing industry, and the current state of the data infrastructure that supports implementation in autonomous driving, factory operations, and inspection automation.
Furthermore, we will explain how to integrate and organize data generated from cameras, sensors, equipment, robots, and business systems, and connect it to AI-driven judgment and control. We will consider the concept of 'data' necessary for the social implementation of Physical AI and the direction of data engineering that companies should address in the future.
Participation is free and online. We look forward to your participation.
[Contact Information]
Brycen Co., Ltd.
Data Engineering Solutions Headquarters
Data Engineering Solutions Sales Department
Address: 8-1 Akashicho, Chuo-ku, Tokyo
St. Luke's Tower 30F
TEL: 03-6264-7222
Email: bpo-sales@brycen.co.jp
https://annotation.brycen.co.jp/contact
FAQ
What kind of company is Brycen?
A company that supports the collection, storage, organization, and utilization of on-site data through its data engineering business.
How much does it cost to participate in 'THE AI 2026'?
Participation is free.
What topics will be covered in the lecture?
The evolution of Physical AI in manufacturing and the current state of the data infrastructure that supports it.