Agentic AI has been in the news recently. I had interviewed HighByte Chief Product Officer John Harrington about it in the spring. Here is the company’s announcement about its new Intelligence Hub version 4.2 bring it to life.
Industrial software company announces general availability of HighByte Intelligence Hub version 4.2, enabling Agentic and AI-assisted DataOps at the edge
HighByte announced the release of HighByte Intelligence Hub version 4.2 with an embedded Industrial Model Context Protocol (MCP) Server that powers Agentic AI and new LLM-assisted data contextualization via native connections to Amazon Bedrock, Azure OpenAI, Google Gemini, OpenAI, and local LLMs.
HighByte Intelligence Hub provides the first Industrial MCP Server to expose data pipelines as “tools” to AI agents, including descriptions and parameters. With the Intelligence Hub, AI agents can securely access all connected industrial systems and make real time or historical data requests on them.
The latest release also introduces Git integration and OpenTelemetry (OTel) support to scale and manage deployments using DevOps tooling for version control and observability. Users will also have access to new Databricks and TimescaleDB connectors and enhanced connectivity with Apache Kafka and Amazon S3 for cloud-to-edge use cases. Furthermore, the Oracle Database connection has been enhanced to support Change Data Capture (CDC), the Snowflake SQL connection now supports write operations, and the AVEVA PI System connection supports enhanced PI point metadata reads. These capabilities optimize bi-directional connectivity for the many disparate data services found in the cloud, data center, and factory floor.
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