Time Series Data Labeling Services

A set of observations gathered over time through repeated measurements is known as time series data. When plotting points on a graph, one axis will always represent time. Labeling time series datasets is critical because it allows you to see how different influences affect certain variables across time. Cogito is a robust human-in-the-loop time series data labeling service provider that can handle any time series dataset.

Human-in-the-Loop Crucial for Time Series Data Labeling

Human-in-the-Loop Crucial for Time Series Data Labeling

Labeling time series data entails more than just giving each point a name. It's all about figuring out what those numbers imply and how they fit into the bigger picture. This is possible with Cogito, owing to our skilled human annotators who can complete the time series data labeling in line with your industry requirements.

Time Series Data Annotation Approach at Cogito

Time Series Data Annotation Approach at Cogito

Giving names to various points in time is known as labeling or annotating time series data. The stock market, for example, has a variety of indicators that may be used to assess its health. Time series metrics are those that are measured at regular intervals across time. As a result, outsourcing the time series data labeling process to a credible company is crucial as it can provide the best-in-class and highly accurate time series annotation and labeling services while also ensuring data security.

Use Cases of Time Series Data

Use Cases of Time Series Data

Time series data analytics is a powerful tool for examining nearly any process over time. Almost every process system in manufacturing, such as IoT sensors, industrial machines, and control devices, produces time series data. In general, time-series data tends to fill up storage rapidly, so the need for performance and scalability is critical.

Time series data has a wide range of use cases, from sales and demand forecasting to highly-specialized scientific research on bacterial ecosystems. Some of the use cases of time series data labeling are:

•  Electrical activity in the brain
•  Heartbeats per minute
•  Rainfall measurements
•  Stock prices
•  Weather records
•  Annual retail sales
•  Monthly subscribers
•  Commodity price

  

Why Outsource Time Series Data Annotation to Cogito?

Why Outsource Time Series Data Annotation to Cogito?

Time-series data needs to be analyzed and aggregated in a fast-paced environment to make it available for further AI application and machine learning employment. With a competent in-house team of 1200+ data annotation experts and decade-long industry exposure, Cogito boasts of being a one-stop-destination for high-quality time series data annotation.