AI for DataOps

The Intelligence Hub includes connections to AWS, Microsoft Azure, Google, OpenAI, Anthropic, 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 the Modeling Agent. Pass inputs, files, and prompts to the agent to create or modify Models and Instances. This allows you to leverage external databases of tag mappings, scan an entire namespace to identify similar objects for Instances, or read documents as source material for Models and Instances. The Modeling Agent helps to reduce the work of contextualizing 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. 

In addition to in-app agent capabilities, the Intelligence Hub provides MCP tools for configuration to support the use of third-party agents. This approach might fit your pre-existing workflow if you already perform a lot of LLM prompting and would like to manipulate the configuration of your Intelligence Hub projects without needing to be in the product. Create and edit Connections, Models, Instances, and Pipelines with the MCP configuration tools in HighByte Intelligence Hub.