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June 9, 2022
Blog Post
Title
Active Learning: Integrating Natural Intelligence Into Artificial Intelligence. Effectively involving process experts in developing and interpreting machine learning models
Title Supplement
Blogbeitrag auf der Internetseite Semiconductor Engineering (https://semiengineering.com), JUNE 9TH, 2022
Abstract
Today, very few people would likely deny the fact that data can present major added value for companies. But analyzing data from production processes reveals the incompleteness of data collection and the associated reduced potential of the data that can be leveraged. Typical shortcomings include:
- Incomplete representation of processes in the dataspace,
- Inadequate connection of processes and domains in the dataspace,
- Lacking quality assurance during data collection, and
- Insufficient or obsolete interfaces for manual data entry.
The latter especially represents an obstacle not to be underestimated. Often, important process knowledge only exists implicitly in the heads of a few experts, who are only available for limited periods of time. If these people are not available at critical moments, eliminating sudden issues within processes and ensuring process reliability and stability requires much more effort. Over the long term, losing people with relevant knowledge presents significant risks for companies.
- Incomplete representation of processes in the dataspace,
- Inadequate connection of processes and domains in the dataspace,
- Lacking quality assurance during data collection, and
- Insufficient or obsolete interfaces for manual data entry.
The latter especially represents an obstacle not to be underestimated. Often, important process knowledge only exists implicitly in the heads of a few experts, who are only available for limited periods of time. If these people are not available at critical moments, eliminating sudden issues within processes and ensuring process reliability and stability requires much more effort. Over the long term, losing people with relevant knowledge presents significant risks for companies.
Rights
Under Copyright
Language
English