TALKING

Feeding insights back into the design of future assets kicks off a cycle of continuous improvement .

how industrial workers optimise production efficiency . For example , consider that even minor process variations can greatly impact production outcomes .

By crunching hundreds of variations with detailed recommendations , AI models enable operators to make confident decisions , while improving profitability and sustainability . Think planet and profit as opposed to planet vs profit .

The industrial Metaverse will be a layer of collaboration on top of a digital twin , with industrial AI in the complementary role of assistant , bringing sharper and more accurate insights to human decision makers .

The industrial Metaverse is simply a logical extension of industrial companies ’ existing technology investments . It is one that offers closer interactions and uses industrial data to spark innovation and drive new value . Think of it as the smartest way to turn those growing volumes of data into sustainable returns .

It is only when industrial entities share their data with internal and external partners that they can truly capitalise on the competitive insights required to drive the next wave of sustainable growth , even in disruptive times .

Global case studies

In the short term , efficiency gains help reduce energy consumption and slash greenhouse gas emissions . Over the medium term , AI tools function as an engine of innovation , to industrial process improvements and even new value chains , by speeding the development of hydrogen as a fuel , for example .

Likewise , predictive asset optimisation combines predictive , prescriptive , and prognostic analytics with process optimisation to create a hybrid digital twin , blending both physical and simulated data to inform decisions .

With such a 360-degree view of asset health and performance , operators can identify problems earlier , establish their causes more accurately , and forecast the best possible timing to implement a solution .

Operational uptime and availability are maximised , to better profitability and sustainability . Feeding these insights back into the design of future assets kicks off a cycle of continuous improvement .

Arrival of Metaverse

When access to real-time data and intelligent insights are democratised across the ecosystem value chain , the stage is set for the next step in industrial transformation : the industrial Metaverse .

This game-changing technology is simply a way of bringing teams together virtually so they can do their jobs better . In the industrial Metaverse , people collaborate virtually around a real-time representation of physical assets , with live data and analytics available on command .

Automotive manufacturer HENN is in the fast lane to efficiency . Using an integrated data collection application together with a scalable cloudbased data management program , the car parts manufacturer can monitor and dashboard products across dispersed assembly lines , all within a single window , anywhere .

Authorised stakeholders within the company , including those at headquarters and remotely at branch offices , now have real-time insight into production lines . Issues are swiftly identified and managed , with overall efficiency gains of 10 %.

Dominion Energy in the US is taking an innovative approach to stand out in the increasingly crowded renewable power sector . Dominion collates and shares real-time data from across its North American grid network with utility customers over the cloud .

This enables them to provide investors , regulators and auditors with proof of their sustainable conduct . And this integrated digital data highway is bringing new business to Dominion as demand for transparent and measurable reporting increases . Dominion is an example of a new kind of connected industrial ecosystem .

Hill ’ s Pet Nutrition uses intelligent analytics to determine how variations in the manufacturing process could positively or negatively change the product . By modelling the impact of changes such as higher temperatures or water use , Hill ’ s can adjust manufacturing processes in real time to keep quality on track . The result is process-to-product output is up 30 % while waste is down . p

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