In this tutorial, we’ll learn how to use the Python statsmodels package to forecast data using an ARMA model and InfluxDB, the open source time series database.

LinkedIn today open-sourced Greykite, a Python library for long- and short-term predictive analytics. Greykite’s main algorithm, Silverkite, delivers automated forecasting, which LinkedIn says ...

LinkedIn open sourced Greykite, a Python library that promises to provide accurate future forecasts in an interpretable, allowing visualizations of the trend, seasonality, and other effects. Built ...

In this article, we will explore how AI-driven time series forecasting can be harnessed by capital project handlers for better economic predicting and decision-making.

IBM is bringing the power of conditional reasoning to its open source Granite 3.2 LLM, in an effort to solve real enterprise AI challenges.

Time series data is useful for things such as predicting weather, medical events, or financial changes, and generative AI can model such sequences if given a little help, NYU scholars find.

Time series graphs are intuitive, helping you relate a metric to time. Marketing analysts are often faced with choosing a data visualization that speaks to managers and colleagues interested in ...

Forecasting the future and filling the gaps: How Synthefy is reinventing time series intelligence with NetApp Synthefy is working with NetApp to enable context-aware, multi-modal forecasting ...