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AT&T Boosts Customer Service AI Using NVIDIA NeMo Technology

April 23, 2025•Unknown•Original Link•2 minutes
AI
CustomerService
Telecommunications

AT&T leverages NVIDIA NeMo to scale AI-powered customer service agents through continuous data feedback

AT&T Customer Story

AT&T has partnered with NVIDIA to revolutionize its customer service operations using AI-powered agents built on NVIDIA NeMo and NIM microservices. The telecommunications giant is addressing key challenges in AI deployment, including model accuracy, computational costs, and real-time data access.

Key Developments

  • Data Flywheel Approach: AT&T implemented a continuous feedback system using NVIDIA NeMo to maintain agent accuracy as documents update weekly
  • Performance Gains: Achieved 40% improvement in response accuracy and 84% reduction in call center analytics costs
  • Optimized Models: Fine-tuned Mistral 7B emerged as the most efficient model after testing multiple options

Technical Implementation

AT&T's solution involves:

  1. NeMo Curator for data cleansing and filtering
  2. NeMo Customizer for model fine-tuning
  3. NeMo Evaluator for performance measurement (Rouge, BERT F1 scores)
  4. NeMo Retriever for real-time data access
  5. NIM microservices for secure, optimized deployment

"The successful fine-tuning story of this use case and others like it was enough evidence for us to pursue building out an entire fine-tuning platform" - Kostikey Moustakas, Director of Data Science at AT&T

Future Plans

AT&T is developing:

  • A centralized feedback system combining human and AI evaluation
  • Automated handling of complex AI interactions with Arize AI
  • A platform for scalable AI optimization across the enterprise

This initiative represents a significant step in AT&T's strategy to deploy dozens of AI use cases, with hundreds more in development.

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August 18, 2025•Kaydence Shum

Lenovo Wins Frost Sullivan 2025 Asia-Pacific AI Services Leadership Award

Lenovo earns Frost Sullivan's 2025 Asia-Pacific AI Services Customer Value Leadership Recognition for its value-driven innovation and real-world AI impact.

AI
Lenovo
Asia-Pacific
August 18, 2025•Unknown

Baidu Wenku GenFlow 2.0 Revolutionizes AI Agents with Multi-Agent Architecture

Baidu Wenku's GenFlow 2.0 introduces a multi-agent system for parallel task processing, integrating with Cangzhou OS to enhance efficiency and redefine AI workflows.

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About the Author

Michael Rodriguez

Michael Rodriguez

AI Technology Journalist

Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.

Expertise

AI Industry Analysis
Startup Ecosystem
Technology Trends
Product Reviews
Experience
12 years
Publications
800+
Credentials
2
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