The data can also be used in time series analysis for a wide variety of cases, including (but not limited to) tracking stock prices, forecasting sales figures or healthcare monitoring.

One key type of data in the midst of all this change is time series data. As generative AI technologies become more mainstream, it's a good time to explore some of the other aspects that make up AI.

The company is known for its open source time series database and monitoring solution. The company’s downloads reached 100 million in 2022, including one million on GitHub. Its enterprise offering ...

In late 2013, Errplane, a Y Combinator-backed startup, began developing an open source project called InfluxDB for database performance monitoring and alerting. After raising several million in ...

Time-series databases that optimize the collection and analysis of time-series data open up the opportunity to provide business models that adjust and avoid one-size-fits-all standardization.

Time series databases are purpose built for handling time series data such as time stamped metrics or measurements. These databases can measure changes in data over a progression of time through ...

Timescale Inc., the creator of a cloud time-series database that’s based on PostgreSQL, is looking to cater to artificial intelligence developers with the launch of its latest vector capabilities.

N. I. Fisher, A. J. Lee, Time Series Analysis of Circular Data, Journal of the Royal Statistical Society. Series B (Methodological), Vol. 56, No. 2 (1994), pp. 327-339 Free online reading for over 10 ...