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BUSINESS TALK

Edge AI & Real-Time Integration

Bringing intelligence closer to operations for faster, autonomous decisions
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Centralized analytics cannot keep pace with real-time operational events.
WHY EDGE AI & REAL-TIME INTEGRATION?
Edge AI enables local processing, anomaly detection, and autonomous actions while synchronizing with enterprise systems for coordination and learning.

Intelligence at the Edge.

Key benefits
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Reduced latency 
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Increased resilience 
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Deployment complexity 
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Governance of edge decisions 

How NTT DATA helps

01
Edge architecture design 
Engineer with glasses analyzes blue and orange data graphs on a laptop in an industrial control room, with server cables and large monitors showing factory equipment behind her
02
AI model deployment at the edge 
Technician in a factory taps a control panel showing orange data graphs and machinery-to-cloud icons, beside network racks and signal lights.
03
Real-time integration platforms 
Businessman in a navy suit uses a smartphone showing charts on a moving walkway in a bright airport terminal with blurred travelers and orange light trails.
04
Security and lifecycle management 
Engineer with glasses analyzes blue and orange data graphs on a laptop in an industrial control room, with server cables and large monitors showing factory equipment behind her
05
Scaling and operations 
Technician in blue and orange coveralls kneels beside an orange industrial control cabinet, adjusting a connected device while viewing charts on a tablet in a bright factory.
Proven impact
Real-time performance achieved and use cases enabled 
Results that matter
Supply chain organizations achieve measurable improvements: 
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Response time

Reduced latency

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Downtime

Fewer incidents

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Process stability

Improved control

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