Powering energy through industrial intelligence with AVEVA
How does AVEVA’s approach align with this year’s ADIPEC theme? As the energy sector evolves to meet growing demand and advance decarbonisation, resilience comes from embracing new ways to improve performance and adapt to change. At ADIPEC, we’ll show how we support the full asset lifecycle, from design and build through to operations, maintenance and optimisation, with energy and emissions in…
AVEVA's industrial intelligence platform, CONNECT, supports the full asset lifecycle, from design and build through to operations, maintenance and optimization, with energy and emissions in mind from the outset. By integrating engineering, operations, and business data into one trusted source, CONNECT helps teams identify potential issues early and improve asset reliability. This approach aligns with the theme of this year's ADIPEC, which focuses on energy, intelligence, and impact.
In boardrooms across the region, energy is being viewed as a strategic stake and a source of growth, rather than just a cost on the balance sheet. With increasing data centers and AI driving up electricity demand, energy security has become a top priority. Enterprises are seeking ways to maximize the value of their existing assets without incurring additional capital expenditures.
Industrial intelligence, which combines human expertise and operational data augmented by AI, enables organizations to avoid unplanned shutdowns, optimize energy usage, and make faster, better decisions.
The main challenge enterprises face in realizing meaningful AI-driven outcomes is not a lack of data but rather the scattered nature of their data, which is often stored in different systems and formats. To overcome this, enterprises must consolidate their operational and engineering data into a single, trusted source of truth that is clean, contextualized, and readily available when needed.
When demand and conditions shift, operators must optimize the assets they already have reliably and safely. AVEVA's PI System captures operational data, while CONNECT brings this data together with engineering data in a governed environment, providing a single source of truth. The digital twin begins at the design phase and builds upon operational and maintenance data, allowing teams to test what-if scenarios digitally before making production decisions.
Predictive analytics enable the prediction of potential issues before they lead to downtime, and real-time optimization is achieved through process control.
AVEVA is investing in people, partnerships, and local capability across the region to support customers' digital ambitions and the UAE's National Strategy for Artificial Intelligence 2031. With a focus on developing engineers, data scientists, and industrial software specialists capable of applying AI in real-world industrial environments, AVEVA aims to turn digital capability into measurable industrial value.
By turning pilots into daily operations through trusted, contextualized data, AVEVA helps customers move from digital capability to industrial value.
Written by urgent.news from Gulf News's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.