In the virtual home of an organization’s data, you also suffer from a similar messy structure. In general, the contents of folders and documents are quickly forgotten. SynerScope offers the virtual ‘sports hall’ in Microsoft Azure cloud; after which automatic sorting, labeling and tidying becomes a breeze.
For this purpose we, at SynerScope, have developed a visual scanner of data that makes ‘cluster labeling’ possible through AI. By working with data in entire groups at the same time, we greatly accelerate the labeling process.
Data, even without meta-data, i.e. dark data or forgotten data, is automatically sorted by content. Possible labels are calculated for each cluster based on the content, after which a domain expert chooses from these labels. The data generates the labels, and people choose from them.
In this way, well-labeled data increases the quality of the AI outcome, with less risk of bias or unethical data use. And with less resource effort and costs. But the direct costs are also lower by wasting less expensive compute power on what may later turn out to be worthless and uninformative data.
As an organization you have your own data and knowledge under control, so focus on that. This allows you to tame AI and use it for your goals, with more success, less risk and at lower costs.