Software

Notion Supports CJ CheilJedang Technical Materials Research Institute’s R&D Context Hub and AX Infrastructure

TECHWORLD ·

[From left] Massimo Meriggi, CTO of the Technology Materials Research Institute at CJ CheilJedang; Akshay Kothari, co-founder of Notion; Jung Jun-young, managing director at the Technology Materials Research Institute at CJ CheilJedang; and Park Dae-sung, head of Notion Korea. [Provided by Notion]

✦ AI Summary

Notion and CJ CheilJedang are working together on the CJ CheilJedang Technical Materials Research Institute.

The support includes building an R&D context hub and AX infrastructure, with the goal of systematically accumulating research knowledge and context and creating an AI-enabled research environment.

CJ OliveNetworks will handle Notion license supply and operations management, while Notion will support LIMS integration and research information and knowledge management, along with reporting systems.

Notion and CJ CheilJedang are partnering with the CJ CheilJedang Technical Materials Research Institute. The collaboration will support the building of an R&D context hub and AX infrastructure. The goal is to systematically accumulate research knowledge, systematically accumulate research context, and create an R&D work environment that can later be used for AI.

The shared goal of both sides is to systematically accumulate knowledge generated during research, systematically accumulate contextual information generated during the research process, and create a research environment that can later leverage AI. The intended users are researchers at the CJ CheilJedang Technical Materials Research Institute. The existing system in use is the company’s internal LIMS system (Laboratory Information Management System). The implementation plan combines LIMS with Notion.

Notion explained a plan to use its platform as a context hub. According to Notion’s explanation, the goal is to systematically accumulate contextual information generated during the research process. The context information to be accumulated includes research background, discussions, considerations, and decisions.

The CJ CheilJedang Technical Materials Research Institute plans to organize research records, experimental data, meeting notes, and other information generated during R&D work according to an information-structuring plan within Notion, and to create a work environment that can efficiently manage the information needed for each project. The institute has drawn up a plan to use Notion for this purpose.

The contract is being carried out jointly with CJ OliveNetworks. CJ OliveNetworks’ role is to work with Notion, and its support includes supplying Notion licenses to the CJ CheilJedang Technical Materials Research Institute and establishing an operations and management framework.

Through its Notion implementation plan, the CJ CheilJedang Technical Materials Research Institute aims to systematically connect research knowledge with work context and set improving the usability of research information as an effect goal.

It has also set a plan to gradually expand the scope in the future. The expansion direction is AI-based research work utilization, and researchers expect greater efficiency in repetitive tasks such as searching, summarizing, and reporting research information with AI, as well as improved focus on research activities.

Masimo Merigi, CTO of R&D at CJ CheilJedang, said the key goal of this collaboration is to build an environment for systematically accumulating and using research knowledge and context generated at technical materials research sites. He added that the company plans to support researchers in making better use of accumulated research knowledge, help them focus on core research and decision-making, and continue strengthening a digital and AI-based research environment.

Notion will provide support tailored to the R&D work of the CJ CheilJedang Technical Materials Research Institute. It will support Notion-based operations for managing research information and knowledge by R&D project, and it will support building a reporting system based on accumulated research information. Along with support for linking the existing internal LIMS system, it will also help strengthen the connectivity and usability of research information, thereby supporting greater efficiency in the use of research data.

Based on this foundation, Notion will work to expand the use of AI for meeting records, AI-based reporting support, and AI-based decision-making support. Notion said this will position the platform as a knowledge and AI workflow hub for CJ CheilJedang’s R&D AX transformation.

Park Dae-seon, head of Notion Korea, said the core of enterprise AI transformation lies not only in the AI model itself but also in building organizational knowledge and work context that AI can understand and use. He added that the company plans to help connect enterprise knowledge and work context with AI, and to provide a collaborative environment for organizational members and AI agents. He also said Notion will continue to support a range of partners to improve work productivity.

Source: TECHWORLD · Lee Gwang-jae
Original: https://www.epnc.co.kr/news/articleView.html?idxno=406452

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Source: TECHWORLD

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