Archives

mCloud and Google Cloud Partner to Launch Trio of Sustainability Apps Aimed at Curbing Carbon Emissions Worldwide

mCloud and Google Cloud Partner to Launch Trio of Sustainability Apps Aimed at Curbing Carbon Emissions Worldwide

mCloud Technologies Corp. a leading provider of AI-powered asset management and Environmental, Social, and Governance (“ESG”) solutions today announced it had entered into a strategic partnership with Google Cloud to launch three AI-powered sustainability applications combining the Company’s AssetCare platform with the power and reach of Google Cloud and additional services such as Google Earth Engine.

The strategic partnership between mCloud and Google Cloud is timely as the United States, the European Union, and Saudi Arabia make major commitments to methane abatement and the implementation of more stringent emission regulations. As a result, energy-intensive organizations across the globe are seeking new technologies to automate and streamline their emissions management and sustainability programs – the areas that mCloud and Google Cloud are now targeting with these applications.

Also Read: Emergent, LLC. and OMNIA Partners Provide Total Cloud Solutions to Public Agencies Nationwide

mCloud’s applications deliver “Results-as-a-Service,” targeting oil and gas facilities, commercial buildings, and wind farms applying mCloud’s industrial AI, visual analytics, and 3D digital twin capabilities to measure, locate, and correct harmful emissions, eliminate energy waste, minimize carbon and methane footprints, and maximize the contributions of renewable wind energy around the world.

As part of this partnership, mCloud joins the Google Partner Advantage program and mCloud and Google Cloud plan to jointly co-market and deliver these applications to customers worldwide, offering services to specific customers in the United StatesCanada, UK and EuropeSaudi ArabiaMalaysia, and Japan alongside major global customers already working with both companies.

In partnership with Google Cloud, mCloud will directly integrate and leverage core Google Cloud services such as Google Earth Engine, Vision AI, Natural Language AI, Translation AI, TensorFlow, and more to enable powerful capabilities driving the sustainability of asset- and energy-intensive operations:

  • At oil and gas facilities, field teams can access asset information at their fingertips, in the cloud and on any voice-enabled mobile device with Google Cloud’s Natural Language AI. Digitalized processes and workflows streamline the detection and localization of methane leaks, while virtual collaboration capabilities seamlessly connect the frontline with the back-office in real-time.
  • At commercial and industrial facilities, access to data unique to Google Earth Engine and other Google Cloud Ready – Sustainability data partners, such as solar intensity, weather conditions, and site occupancy, along with companion Google Cloud applications for retail and commercial facilities such as auto dealerships enable opportunities to automatically drive major reductions in peak demand and energy use intensity per square foot through intelligent management of building and site infrastructure energy consumption.
  • At wind farms, real-time wind data from Google Earth Engine and other Google Cloud Ready – Sustainability data partners, tightly integrated with mCloud’s AI-driven image processing capabilities optimize wind energy production, eliminate maintenance overhead from manual work, and automate the inspection of wind turbine blades.

mCloud President and CEO Russ McMeekin said:

“mCloud’s partnership with Google Cloud will create many new and exciting opportunities for curbing climate emissions. The Google Cloud team has been extraordinary in their support and our teams are working well together. The direct collaboration between one of the industry’s most innovative clouds and its AI capabilities, such as Google Earth Engine, and mCloud’s AssetCare creates substantial new operating efficiencies. This means our new sustainability applications will be able to: precisely localize and target harmful emissions at the equipment level, use AI with live wind and solar data to maximize the utility of renewable energy sources, and automatically optimize the emissions footprint of assets everywhere through cloud-based capabilities.