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 manages a massive customer base and a rapidly growing portfolio of digital services.
With nearly 10,000 documents updated multiple times a week, maintaining model accuracy was difficult due to constant data drift. Manual data curation...
“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.
NVIDIA is a technology company that specializes in semiconductors, graphics processing units, and artificial intelligence for applications in data centers, gaming, and more.
Helped AT&T leverage NVIDIA AI Enterprise to implement a feedback-driven AI data flywheel.
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