en.Wedoany.com Reported - The challenge of fragmented and underutilized global industrial data is driving AVEVA to significantly upgrade its industrial intelligence platform, CONNECT. The industrial software company's latest AI-driven features include a next-generation industrial knowledge graph and an AI-based twin builder, both scheduled for release in the first quarter of 2027. By unifying the semantic framework, AVEVA aims to provide AI systems with the context needed to generate accurate, trustworthy, and actionable insights, helping organizations unlock value from vast amounts of operational data.
The current state of data highlights the necessity of this initiative. According to data provided by AVEVA, up to 73% of enterprise data goes unused, while 76% of business leaders struggle to understand the information they collect. Meanwhile, global industries face compounding pressures from regulatory complexity, sustainability requirements, aging infrastructure, and siloed data systems. The new industrial knowledge graph can map relationships between physical assets and operational systems, transforming fragmented data into contextualized intelligence, helping to accelerate troubleshooting, improve compliance, and support more confident decision-making.
"For global industrial enterprises, the challenge is not ambition, but infrastructure," said Zubin Davar, Vice President of Marketing for the CONNECT platform. "Most industrial teams have yet to realize the promise of AI because operational data, engineering data, asset context, workflows, and compliance frameworks need to be managed in one place without losing fidelity, lineage, or meaning. CONNECT is designed to bridge this gap across every layer of a deeply heterogeneous industrial technology stack, helping customers turn fragmented data into trusted intelligence and accelerate AI-driven transformation by reducing the cost and complexity of unifying industrial data."
At the CONNECT launch event in Mumbai, AVEVA emphasized the strategic importance of the Indian market and announced the signing of Memorandums of Understanding (MoUs) with Deccan Fine Chemicals (I) and Reliance Power Limited. These agreements aim to accelerate cloud-enabled digital transformation within industrial value chains by creating secure, collaborative, and data-driven ecosystems. Additionally, AVEVA signed an MoU with the Technology Business Incubator (TBI) at VJTI to support industry-academia collaboration, skill development, and the cultivation of the next generation of industrial talent. Tarun Singh, Country Head for AVEVA India, stated: "The announcements at AVEVA World, combined with these MoUs signed at the CONNECT launch in India, reflect our commitment to matching the depth and pace of progress of Indian enterprises. India's industrial sector is expanding rapidly, and by deeply embedding AI and intelligence into industrial workflows through CONNECT, we are helping local organizations act faster, manage complexity, and operate with confidence."
As part of the platform expansion, AVEVA has deepened integrations with several enterprise technology providers. A new strategic partnership with Snowflake allows industrial enterprises to directly query high-fidelity Operational Technology (OT) data via a zero-copy architecture, without replicating or moving data, thereby reducing latency and integration costs while maintaining a single source of truth. The company also launched CONNECT Flows (formerly Crosser), which provides stream analytics and integration capabilities, simplifying the creation and deployment of real-time edge-to-cloud data pipelines for cleaning, filtering, and transformation. Furthermore, AVEVA partnered with Amazon Web Services (AWS) to launch a multi-cloud version of CONNECT, offering customers greater deployment flexibility; established a strategic technology partnership with IFS; and collaborated with NVIDIA and Schneider Electric to launch a digital twin for AI factories.
Looking ahead, the CONNECT version AVEVA plans to release in the first quarter of 2027 will introduce an industrial knowledge graph aimed at accelerating the creation and operationalization of digital twins. In the upcoming early access program, the platform's AI-based twin builder will use agentic AI to intelligently map and align fragmented enterprise data sources to standardized models. This capability is expected to significantly shorten deployment times while preserving data lineage and maintaining strict governance standards. With these new features, AVEVA positions CONNECT as a foundational platform for industrial organizations to securely scale AI adoption and digital transformation initiatives, believing that a unified and intelligent data infrastructure is key to helping expanding industrial sectors, such as India's, turn operational complexity into a competitive advantage.
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