10,000 weekly doc updates overwhelmed manual teams. An automated data flywheel restored accuracy and cut analytics costs 84%.
One of the world's largest telecommunications companies, with dozens of AI-powered customer service use cases deployed and hundreds more in development.
With nearly 10,000 internal documents updated multiple times a week, AI agents constantly risked operating on outdated information, degrading...
“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 that supports both user and differentiated fine-tuning flows across various tasks.”
Wireless, high-speed internet, and enterprise communication services provider.
Helped AT&T implement a data flywheel approach using NVIDIA AI Enterprise.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
AT&T's Customer service agents is part of this use case:
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10,000 weekly doc updates overwhelmed manual teams. An automated data flywheel restored accuracy and cut analytics costs 84%.
One of the world's largest telecommunications companies, with dozens of AI-powered customer service use cases deployed and hundreds more in development.
With nearly 10,000 internal documents updated multiple times a week, AI agents constantly risked operating on outdated information, degrading...
“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 that supports both user and differentiated fine-tuning flows across various tasks.”
Wireless, high-speed internet, and enterprise communication services provider.
Helped AT&T implement a data flywheel approach using NVIDIA AI Enterprise.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
AT&T's Customer service agents is part of this use case:
Related implementations across industries and use cases
Customer context scattered across 50+ systems; AI agents now surface tenure, eligibility, and ranked picks before the expert says hello.
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Call centers couldn't keep pace with demand peaks and rising costs. Now, agents handle 24/7 messaging, with AI summarizing and translating.
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Siloed tools left the SOC blind to threats spanning satellites to cloud. AI now closes most cases automatically, in seconds.
Agents summarized every call by hand and memorized talk scripts. Voice-to-text and real-time screen pops cut after-call work by 80%.
Rigid "press 1" phone trees bottlenecked global support. Now, localized AI agents guide complex step-by-step blind installations.