SparkCognition, which provides artificial intelligence software solutions for businesses, says it has added generative pre-trained transformers (GPT) to its Renewable Suite. This new capability helps accelerate time to value by providing actionable insights for their renewable asset performance management solution.
SparkCognition’s GPT, part of the Generative AI Platform for Industrials, leverages large language models to interpret user input and return relevant information in a seamless, intuitive experience. This feature analyzes the performance of wind, solar and storage assets and provides real-time insights to support key operational decisions.
Renewable Suite users can use SparkCognition GPT anywhere in the suite with simple conversational prompts to search for summaries, specific information, or interact with different modules.
“It improves our efficiency by being able to perform analysis across multiple modules in a single thread, allowing the user to focus more on making inferences and decisions, and facilitates troubleshooting by including relevant information from OEM manuals and unstructured service data for a given event,” says Brian Li, AEP Renewables staff engineer.
SparkCognition GPT enables users to quickly and efficiently perform custom data analysis tasks and automate workflows, enabling insight into the performance of renewable energy resources.