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ENGIE launches service that uses machine learning for data center management


ENGIE has launched Avril Digital Outcome-focused Services designed to reduce data centre operational complexities and enable a more energy efficient, sustainable, agile and reliable data centre.

Using advanced analytics and machine learning algorithms, Avril Digital Outcome-focused Services (Avril Digital) allow ENGIE Data Centre experts to detect anomalies, identify performance shortfalls and predict operational threats that need immediate attention before they escalate into costly problems.

Avril Digital also provides a tailored service solution with accurate fact-based actionable insights that resolve data centre issues swiftly and prioritise corrective continuous improvement actions that enable data centres to be future ready.

Pierre Cheyron, CEO, ENGIE Services Asia-Pacific, said “Singapore continues to be Asia Pacific’s top location for data centre operations. It is estimated that Asia Pacific’s data centre services’ market size will exceed the European market size by 2021. However, most data centres in Singapore, many in the middle of their lifespan, were designed and constructed without sustainability and energy conservation in mind. Thus, this represents a tremendous opportunity for data centres here to step up and play their part in helping the environment.”

In today’s always-on, mobile, and automated world, data centres are vital to the digital economy because they house, protect and provide secure access to the massive amounts of data that are created every minute by enterprises and government-level entities.

“With the rising complexities in data centre operation and operational costs, traditional data centre solutions and reactive approaches are no longer enough,” said Joycelyn Longue, Director, Business Development, Smart Digital Solutions, ENGIE ITS.

“Companies can leverage Avril Digital Outcome-focused Services to gain control of energy use and achieve high rates of return in the form of energy savings. Companies that utilise this approach are ultimately paying for performance resulting in benefits of up to 50% reduction in operation costs and optimise their energy efficiency by up to 30%.”

Turning Data Centre Complexities into Decisive Actions

Avril Digital takes on a proactive approach to remove the guesswork from critical operational decisions by applying advanced data-driven analytics and condition-based monitoring for decisive actions and better outcomes for data centre management, particularly in these key areas:

  • Effective fault management  Provides notifications to enable effective response to critical faults with accurate information to prevent future recurrence
  • Early operational threats – Avril Digital advanced machine learning engine detects anomalies and anticipates operational threats that need immediate attention before they escalate into costly problems
  • Maximise asset performance – Proactively detects performance degradation to determine risk and estimated useful life
  • Improve and sustain data centre environment – Manage performance shortfalls and improve system efficiencies at any stage of the data centre lifecycle
  • Compliance to data centre standards – Superior data centre energy and environmental performance aligned to Data Centre Standards such as BCA-IMDA Green Mark for Data Centres and Singapore Standard for Green Data Centres SS 564: 2013