AVEVA has announced AI and data infrastructure updates across its industrial software portfolio at AVEVA World 2026 in Milan.
The developments cover AVEVA Unified Engineering, AVEVA Operations Control, AVEVA PI Data Infrastructure, and CONNECT, the company’s industrial intelligence platform. Together, the updates focus on making operational, engineering, and compliance data more usable inside AI-enabled industrial workflows.
CONNECT is being extended through integrations with Snowflake and ServiceNow, allowing high-fidelity operational technology data to move into enterprise analytics, automation, machine learning, and workflow environments. A major CONNECT release planned for Q1 2027 will add an industrial knowledge graph that models relationships between assets, properties, and operational context.
The knowledge graph will be supported by a twin builder using agentic AI to propose mappings from existing data sources into a standard model. AVEVA said the approach preserves data lineage and governance, two requirements that become harder to maintain as industrial AI moves closer to operational decision-making.
Rob McGreevy, Chief Product Officer, AVEVA, said: “For industrial enterprises, the challenge is not ambition but infrastructure. The promise of AI remains largely unrealised for most industrial teams because the operational data, engineering data, workflows, and compliance frameworks required to safely deploy AI at scale have rarely been connected in one place.”
Flows, developed from AVEVA’s Crosser acquisition, is due in Q2 2026 and will support data processing pipelines for real-time cleansing, filtering, and transformation. The capability adds more than 800 connectors, broadening the range of systems CONNECT can integrate with across hybrid industrial architectures.
AVEVA Operations Control updates due from June 2026 will provide unified visualisation across HMI, SCADA, and enterprise systems through CONNECT. Native C# and Python support will allow users to deploy AI algorithms at the edge, while open-format templates, graphics, and data models can be used in generative AI workflows.
Across the PI System portfolio, AVEVA is adding scalability improvements, bulk data transfer into CONNECT, web-based adapter management, PI Vision usability enhancements, and AVEVA PI Audit Reporter, developed with Cognizant.
