Unveiling Asset Management at Maintec

We're getting out of the office in order to meet some like minded people and showcase what's on offer from our portfolio of AVEVA Asset Management products at this year’s Maintec exhibition.

Maintec, the longest standing exhibition dedicated to the maintenance, reliability and asset management industry, is in Birmingham at the NEC on the 30-31 October 2019.

We'll be on Stand 10, giving visitors a ‘first look’ at the AVEVA Asset Management software which we added to our product portfolio back in April this year. A decision we took to enhance our existing offering to customers to help them to adopt digital technology to maximise equipment efficiency and minimise unscheduled downtime.

Recognised as market leading by industry analysts, AVEVA’s Asset Management products are in use today and delivering value for more customers across more industries than any other solution in the market.

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The software includes data capture, cloud, augmented reality and analysis, allows companies to monitor equipment in real time, identify underperforming assets and impending problems, and take informed, pre-emptive action.

We've drafted a number of experienced product experts into our business to help with the new software portfolio and they'll all be on hand at the exhibition to demonstrate the products.

Ian Bailey, Asset Management Leader said: “The availability of low-cost sensors connected via the Industrial Internet of Things (IIoT) has enabled the cost-efficient gathering of asset condition and performance data – putting true predictive maintenance firmly within reach.

“One of the clearest trends we are seeing is a desire to consolidate the operational and asset data within control room environments to a single view. As a result, we believe the Maintec show is the perfect forum for us to unveil AVEVA’s new Visual Asset Management solution, which allows companies to facilitate the visualisation of an asset’s digital twin throughout its entire lifecycle – a gamechanger in the search for genuine predictive maintenance.”

 

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