AVEVA, a global leader in industrial software, has announced a major set of upcoming innovations for its CONNECT industrial intelligence platform, aimed at addressing long-standing challenges of data fragmentation and siloed enterprise systems. The company revealed plans for a new industrial knowledge graph and an AI-powered twin builder leveraging agentic AI, scheduled for release in Q1 2027.
The new framework is designed to improve how industrial organizations utilize operational data by establishing a semantic model that connects physical assets, workflows, and enterprise systems. Instead of relying on fragmented raw data, the system introduces structured intelligence that enables AI systems to generate more accurate, context-aware insights for industrial operations.
AVEVA highlighted that a major barrier to AI adoption in industrial environments is the lack of unified data structures. With a significant portion of enterprise data remaining unused and many leaders struggling to interpret complex datasets, the CONNECT platform is positioned as a unified layer that bridges operational technology and cloud ecosystems.
The platform leverages cloud infrastructure to create a secure, scalable environment where industrial data can be accessed, contextualized, and applied across the value chain. This enables organizations to improve compliance, operational efficiency, and decision-making at scale.
A key innovation announced is the industrial knowledge graph, which will serve as a semantic backbone for industrial AI applications. It maps relationships between assets, systems, and processes, enabling a structured understanding of complex industrial environments.
Complementing this is the twin builder powered by agentic AI, which automatically proposes intelligent mappings between fragmented datasets. This accelerates the creation of digital twins while maintaining data lineage, governance, and contextual accuracy. Together, these capabilities aim to reduce time-to-value for industrial AI deployments while improving reliability and trust in AI-generated insights.
AVEVA also announced multiple ecosystem expansions for CONNECT, including deeper integration with enterprise data platforms such as Snowflake using a zero-copy architecture. This allows organizations to query operational technology data directly without duplicating it, reducing latency and integration overhead.
The platform is also being extended through partnerships with Amazon Web Services for multicloud deployment flexibility, as well as collaborations with NVIDIA and Schneider Electric for digital twin applications in AI-driven industrial environments. Additionally, integration with IFS further strengthens enterprise workflow connectivity across industrial systems.
AVEVA introduced CONNECT Flows, formerly known as Crosser, which enhances real-time stream analytics and data pipeline orchestration. This enables organizations to process, clean, and transform industrial data across edge and cloud environments in real time.
These enhancements are designed to simplify data engineering complexity while improving operational visibility across distributed industrial systems.
AVEVA also emphasized its growing presence in India through new Memorandums of Understanding with companies such as Deccan Fine Chemicals and Reliance Power Limited, aimed at accelerating CONNECT adoption. The company also partnered with VJTI’s Technology Business Incubator to support talent development in industrial AI and digital transformation.
These initiatives reflect AVEVA’s focus on building a future-ready industrial ecosystem supported by academic collaboration and enterprise deployment.
According to AVEVA leadership, the key challenge for industrial enterprises is not ambition but infrastructure readiness. The CONNECT platform is designed to unify operations data, engineering systems, and compliance frameworks into a single intelligent layer, enabling enterprises to scale AI adoption more effectively.
AVEVA’s CONNECT platform upgrades signal a major step toward unified industrial intelligence, combining knowledge graphs, agentic AI, and cloud-native integrations. By addressing data fragmentation and enabling scalable digital twin creation, the company is positioning itself at the center of next-generation industrial AI transformation.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.