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Cogito Adds Time series Data Labeling To Its Service Portfolio
Cogito, a leading provider of human-in-the-loop workforce solutions, recently unveiled its time series data labeling service as part of its corporate growth strategy.
By: Cogito Tech LLC
Labeling or annotating time series data involves assigning names to different points in time. For instance, several indicators may be used to gauge the stock market's health.
Metrics in a time series are those that are taken repeatedly over a period of time. In order to ensure the best-in-class and highly accurate time series annotation and labeling services, it is essential to outsource the time series data labeling process to a reputable organization like Cogito or Anolytics.ai
Outsourcing this service to us puts clients in an advantageous position as they guarantee high-quality data labeling at a cost that fits your budget. If you want to collaborate with a reliable time series data labeling specialist to highlight the crucial components of your historically referenced industrial processes, procedures, and graphical representations, you can contact Cogito
Time series data use cases
Analyzing time series data is a potent tool for tracking almost any process across time. Time series data is generated by nearly all manufacturing process systems, including IoT sensors, industrial machinery, and control equipment. Performance and scalability are essential since time-series data typically fill up storage space quickly.
The following are some use cases for time series data labeling:
Electrical activity in the brain
Heartbeats per minute
Annual retail sales
Cogito is a hybrid data labeling company following the model-assisted labeling (MAL) approach to cater industry's leading businesses. The MAL model leverages a human workforce to label a relevant portion of the training dataset, enabling AI application training. Playing an essential part as human-in-the-
Cogito-Roger Brown Provide a Time series Data