[Free Material] Laboratory Data Infrastructure to Prepare Before Utilizing AI and MI
Before utilizing AI and MI, make the analysis data searchable, comparable, and reusable.
<Series Volume 1> Data Strategy to Succeed in Chemical Analysis in the AI Era Despite the accumulation of analytical data, are you facing challenges such as not being able to quickly find the necessary data, not being able to compare it with past results, or not being able to reuse it across departments? To effectively utilize AI and MI (Materials Informatics), it is crucial to prepare the analytical data for search, comparison, and reuse. This document explains how to establish the data environment necessary for AI and MI utilization based on interviews with informatics personnel at Waters Japan. [Key Highlights] • Expected changes through the use of AI, MI, and automation technologies • Differences between AI and DX, and the common data environment required for both • Concepts for preparing analytical data for search, comparison, and reuse By clicking on [Contact Us], you agree that Waters will use and process the information provided on this site in accordance with Waters' Terms of Use and Privacy Notice. Terms of Use and Privacy Notice: www.waters.com/legalandprivacy
- Company:日本ウォーターズ(米国本社 Waters Corporation)
- Price:Other