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NTT announced its full-stack net-zero action offering that leverages NTT’s vast infrastructure and services capabilities to help clients reduce the environmental impact of business activities.

“We are very excited to launch the industry’s first full-stack Sustainability as a Service offering at a time when industries are looking for effective ways to make good on their commitments to achieving net-zero goals,” said Devin Yaung, group senior vice president of enterprise IoT products and services at NTT Ltd.

In a recent survey, 58% of Fortune 500 companies aim to reduce greenhouse gas emissions and achieve net-zero goals by 2050 or sooner. Those that commit to these goals are often faced with the additional challenges of being under-resourced and underfunded or are unable to consistently capture accurate data fit for purpose. Additionally, McKinsey has estimated that it will take $9.2 trillion of aggregated annual capital expense to achieve 2050 goals.

In response to this challenge, NTT has announced the industry’s first full-stack Sustainability as a Service architecture combining extensible technologies leveraging NTT’s solution building blocks. Along with its consulting service, the full-stack offering is designed to be customized depending on the net-zero goals of an organization and the supply chain’s carbon-producing footprint.

Applicable to industries such as manufacturing, transportation and logistics, and healthcare providers, the full-stack sustainability offering includes:

  • Remote Environmental Monitoring: Using NTT’s IoT for sustainability solution, this technology uses sensors to identify the presence of pollutants in the air, water, and plants across the globe, in real-time. In manufacturing, this can assist with measuring processes and products that consume energy. In the transportation industry, this can monitor greenhouse gas emissions more effectively for fleet management.
  • Digital Twin and Smart Solution: This solution uses a combination of NTT Smart Solutions and Digital Twin capabilities which act as the “brain” of the system. This will help organizations to predict issues with the built-in Machine Learning technology, respond to incidents faster with context from Digital Twin and measure the carbon footprint at a granular, actionable level, in real-time.
  • Automation and Orchestration: Leveraging the existing A&O, the Digital Twin automates problem resolution where possible or creates a ticket for support personnel to investigate and address the issue and thus limit greenhouse impact.
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