Devdiscourse

Time series AI models can mislead policymakers through structural bias

Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...
pv magazine International

New machine learning tech for short-term PV power generation forecasting

Researchers in China have applied a machine learning technology based on temporal convolutional networks in PV power forecasting for the first time. The new model reportedly outperforms similar models ...
InfoWorld

5 ways companies can use time-series forecasting

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage. Time series ...
Forbes

IBM Improves Generative AI Forecasting Using Time, Not Just Attention

According to IBM, attention is not all you need when forecasting certain outcomes with generative AI. You also need time. Earlier this year, IBM made its open-source TinyTimeMixer (TTM) model ...
Morningstar

Anticipating What’s Next: How DP World Uses AI To Power Smarter Planning and Forecasting

NORTHAMPTON, MA / ACCESS Newswire / October 2, 2025 / Forecasting has always been the backbone of resilient supply chains. Yet in today's world of constant disruption, traditional forecasting methods ...
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 ...