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.
LEVITTOWN, N.Y. - June 30, 2022 - PRLog -- Cogito, a flexible provider of Human-in-the- Loop workforce solutions for computer vision, content moderation, and other data processing tasks, has introduced time series data labeling service to its extensive portfolio.

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

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
Rainfall measurements
Stock prices
Weather records
Annual retail sales
Monthly subscribers
Commodity price

About Cogito

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-loop workforce solutions, we encompass business verticals ranging from Retail, Manufacturing, Building, and Construction to Medical, Food processing, E- commerce, and more

Cogito-Roger Brown Provide a Time series Data
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