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The Impact of AI on Sustainability

Balancing AI growth with environmental responsibility.
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Inefficient AI use generates negative impacts such as increased water and energy consumption and higher CO₂ emissions.
Addressing sustainable AI
Sustainable AI integrates efficiency metrics, governance, and optimization across models and infrastructure, enabling organizations to scale AI responsibly while controlling energy cost, emissions, and regulatory risk

This delivers responsible AI with accountability.

Key benefits
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Lower AI emissions 
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Optimized performance and cost 
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Mature AI governance 
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Transparent and auditable impact measurement 

How NTT DATA helps

01
AI sustainability assessments 
A group of people sitting in a meeting room reviewing documents with a few dashboards on the screen
02
Model emissions and water usage monitoring
03
Optimization strategies 
Many pictures of brain shaped circuits in a complex process diagram shown on a futuristic display
04
Governance frameworks 
Picture of AI models denoted by brain images running on rows of computers within a data centre with multiple tranmission lines connecting it to a electricity generation plant and water pipelines connecting to a water body in the background
Proven impact
AI footprint reduced 
Results that matter
Cross-industry organizations achieve measurable sustainability improvements: 
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AI energy use

Optimized

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CO₂ per workload

Reduced

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Compliance

Ensured

Balance AI growth with environmental responsibility

Balance AI and sustainability

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