AVEVA has launched its CONNECT platform, designed to enhance energy operations and support decarbonisation efforts across the industrial sector. This new platform integrates engineering, operations, and maintenance data, enabling companies to make informed decisions that improve reliability and optimise performance. Nayef Bou Chaaya, Vice President for the Middle East, Turkey, and Central Asia at AVEVA, highlighted the importance of connected data in driving industrial digital transformation.
During an interview ahead of ADIPEC 2026, Bou Chaaya explained that the CONNECT platform aims to address the challenges faced by energy and marine companies by providing a unified environment for data sharing. The platform will showcase capabilities such as enterprise visualisation, industrial AI assistance, and advanced analytics, all of which are crucial for optimising operations and achieving sustainability goals.
Key Features of the CONNECT Platform
AVEVA’s CONNECT platform links various stages of the asset lifecycle, from design and construction to operations and maintenance. It incorporates predictive analytics and digital twins, which allow for real-time monitoring and optimisation of energy production processes. The platform’s integration with systems like Databricks, Snowflake, and Microsoft Fabric facilitates contextualised data sharing across different organisational ecosystems.
One of the standout features is the planned Model Context Protocol (MCP) server integration with the AVEVA PI System, which will enable AI applications and large language models to access operational data effectively. This integration is expected to enhance decision-making capabilities and operational efficiency.
Addressing Industry Challenges
According to Bou Chaaya, energy companies are increasingly prioritising energy security, operational resilience, and supply chain performance. By connecting engineering and operational data, the CONNECT platform aims to eliminate fragmented information, allowing teams to make faster, more informed decisions. The digital twin technology will help engineers assess modifications against actual operating conditions, thereby improving collaboration and reducing conflicting decisions.
AVEVA’s predictive analytics capabilities are particularly noteworthy, as they leverage AI and machine learning to anticipate equipment failures and reduce unplanned shutdowns. Bou Chaaya noted that these advancements could lead to energy savings of 5–20% and operational efficiency improvements of 3–10%, depending on the specific applications and operating conditions.
Supporting Decarbonisation Goals
AVEVA is also focused on helping the marine industry meet decarbonisation targets. The CONNECT platform consolidates vessel, fleet, and port data to enhance energy visibility and emissions monitoring. For instance, the CSL Group reported a 29% reduction in carbon intensity across its fleet, demonstrating the platform’s potential to support the UAE’s net-zero ambitions.
As energy companies navigate the complexities of digital transformation, Bou Chaaya emphasised the need for reliable, contextualised data and secure sharing mechanisms. He urged organisations to prioritise investments in predictive maintenance and process optimisation to strengthen long-term competitiveness while achieving sustainability objectives.
For more insights on AVEVA’s initiatives and the role of digital technology in energy operations, refer to TahawulTech.
