AI for DataOps

The Intelligence Hub includes connections to AWS, Microsoft Azure, Google, OpenAI, and local LLMs. These connections allow your organization to use preferred and approved LLMs to support the agent infrastructure built into the Intelligence Hub. 

Minimize the time it takes to create models and map Instances with agentic AI generated configuration. Pass inputs, files, and prompts to the agent to create or modify models and instances. This can include leveraging external databases of tag mappings, scanning an entire namespace to identify similar objects for instances, or reading documents as source material for models and instances. This significantly reduces the work of contextualizing telemetry data for digital projects, particularly in large brownfield facilities. 

The Pipelines interface provides an AI agent to augment your user experience. Connect to the language model service of your choice and prompt the Pipeline AI Agent to summarize, create, or edit pipeline configuration. Once the agent proposes changes, the Pipeline UI displays exactly what was added or modified, giving you full visibility into how your configuration is affected. Finally, you can debug and test the changes, then accept or reject them and continue iterating.