Artificial intelligence continues to reshape how organizations work, and two recent posts highlight practical steps toward that future. In a video from OpenAI via YouTube, Uber's company-wide deployment of ChatGPT Work takes center stage. Following a 1,000-person pilot, Uber is extending the agentic platform for knowledge work to more than 30,000 employees worldwide—its first deployment at this scale. Uber CTO Praveen Neppalli Naga and OpenAI co-founder and President Greg Brockman discuss expanding AI beyond engineering and helping teams rethink entire workflows, offering a candid look at what large-scale AI adoption means for everyday knowledge work.
Meanwhile, Hugging Face via YouTube demonstrates how automation can streamline data pipelines. The live-coding session shows how to automatically process files arriving in a Hugging Face Storage Bucket without downloading anything manually. By setting up a webhook on a bucket that triggers a Hugging Face Job whenever a new file arrives, the Job runs the optimize-parquet.py script to convert CSV files into Parquet format—a practical, hands-on example of event-driven automation.
Together, these posts illustrate two sides of the same trend: enterprises scaling AI across their workforce, and developers building automated workflows with open tooling. Both point toward a future where intelligent systems handle routine work, freeing
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