VentureBeat

IBM Granite 3.2 uses conditional reasoning, time series forecasting and document vision to tackle challenging enterprise use cases

In the wake of the disruptive debut of DeepSeek-R1, reasoning models have been all the rage so far in 2025. IBM is now joining the party, with the debut today of its Granite 3.2 large language model ...
Open Access Government

Forecasting the future with LESSR

Professor David Gerbing of Portland State University developed lessR to make professional-quality data visualization and forecasting accessible to everyone ...
InfoWorld

Time series forecasting with ARMA and InfluxDB

Autoregressive moving average models have a number of advantages including simplicity. Here’s how to use an ARMA model with InfluxDB. An ARMA or autoregressive moving average model is a forecasting ...
Forbes

Inside The Evolving World Of AI And Predictive Insights: Exploring Time Series Analysis

Artificial intelligence (AI) technologies are currently revolutionizing industries and enabling automation on a scale we've never seen before. Of course, none of this is possible without data. These ...
Forbes

Time Series Data At Scale: Unlocking Real-Time Innovation

CEO of InfluxData, a leading time series platform, board member for One Heart Worldwide and board advisor for Lucidworks and The Fabric. More than ever, mission-critical applications require real-time ...
InfoWorld

The value of time series data and TSDBs

Time series data key insights in domains ranging from science and medicine to systems monitoring and industrial IoT. Understand time series data and the databases designed to ingest, store, and ...
ascopubs.org

Time Series Prediction of Lung Cancer Death Rates on the Basis of SEER Data

This study used SEER data from 1975 to 2018 and included 545,486 patients with lung cancer. The best parameters for ARIMA are ARIMA (p, d, q) = (0, 2, 2). In addition, the best parameter for SES was α ...