InfoWorld

InfluxDB’s new model for time series workloads

The embedded Python Processing Engine in InfluxDB 3 allows developers to write Python code that analyzes and acts on time series data in real time. In 2017, I was developing software focused on ...
Morningstar

Ant International Open Sources Time-Series Transformer AI Model to Enable More Businesses to Benefit from AI-Powered Forecasting

Ant International currently deploys the Falcon TST AI Model to forecast cashflow and FX exposure with more than 90% accuracy Ant International, a leading global digital payment, digitisation, and ...
EurekAlert!

From time series to a single snapshot: A smarter way to track wheat growth in real time

A research team has introduced a lightweight artificial intelligence method that accurately identifies wheat growth stages ...
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 ...
Hackaday

Data Visualization And Aggregation: Time Series Databases, Grafana And More

If there’s one thing that characterizes the Information Age that we find ourselves in today, it is streams of data. However, without proper ways to aggregate and transform this data into information, ...
PV Tech

Moving beyond TMY: Why the solar industry needs time series data for PV project evaluation

Solargis’ Evaluate 2.0 platform uses more granular time series data. Image: Solargis. For years, the solar industry has relied on Typical Meteorological Year (TMY) data as the standard for PV ...