TDengine releases TDgpt, extending power of AI to industrial sector

TDengine announced the release of TDgpt, an AI agent for advanced time-series analytics. With TDgpt, industrial enterprises can use AI models – including foundation models for time series as well as large language models (LLMs) – to perform analytics such as forecasting and anomaly detection on their operations data.

This finally bridges the gap between AI and traditional industry and enables manufacturing, energy, logistics, and other companies in the industrial sector to reap the benefits of AI without significant IT investment.

Designed specifically around the use cases of industrial customers, TDgpt makes AI accessible through familiar interfaces, requiring only a single SQL statement to return results. Enterprises and teams, even those that may lack ample data engineering resources, are now able to analyze their data with cutting-edge technology and generate new value and insights.

"Across the industrial sector, there is a strong desire to make use of AI," said Jeff Tao, Founder and CEO of TDengine. "But, many enterprises lack the resources to do so effectively. TDgpt makes this revolutionary technology instantly accessible with zero learning curve, zero initial investment, and zero wasted time."

TDgpt is an extensible analytics platform that includes AI and ML models for industrial data out of the box, as well as a number of traditional statistical algorithms used in time-series analytics. Companies can use these built-in algorithms and models to analyze their operations data, choosing the most accurate or efficient for their particular business scenario, and even add their own in-house algorithms or trained models into the platform through an open SDK.

"The latest developments in AI research are not always quick to find practical use in the places that could benefit most, like traditional industry," remarked Dr. Xia "Ben" Hu, Associate Prof. of Computer Science at Rice University. "TDgpt represents a major step forward in closing that divide and ensuring that AI technology is readily available and easy to implement for all parts of society."