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How Seven.One Entertainment Orchestrates Data Pipelines with Prefect
Seven.One Entertainment
“Prefect is the one-stop shop for us for extracting data from the sources and doing all the necessary steps for orchestration that happen in between.”
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How Barstool Sports Scaled Media Data Operations with Prefect
Barstool Sports
“It's amazing that I don't have to think about this stuff anymore. We have such few data issues whereas before we were literally just putting out fires all the time.”
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Building an ML Platform for the Agent Era with Prefect
Ramp
“Ramp moves fast. We need partners who do the same. We're making a bet on not just the tool as it is today, but also where it's going.”
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How Flatiron Health Orchestrates Cancer Research Data Pipelines
Flatiron Health
“We can find out what happened in the matter of minutes rather than days with Prefect. Non-technical folks have way more visibility into what is going on and what happened.”
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The 5-Year Data Payoff: Why Clearcover Keeps Building on Prefect's Pythonic Foundation
Clearcover
“If the production environment behaves unexpectedly, we can trigger a Prefect flow that reverts the schema pointers back to the verified state. We can restore service in approximately five minutes, rather than scrambling for hours to fix a broken pipeline.”
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How Snorkel AI Reliably Executes Thousands of Daily Workflows with Prefect Open Source
Snorkel AI
“We improved the throughput of our LLM prompting jobs by 20x with Prefect.”
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How Climate Policy Radar Processes 25,000 Policy Documents with Prefect
Climate Policy Radar
“Good data doesn't guarantee good decision-making when it comes to the climate crisis, but bad data guarantees bad decisions.”
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How Japan's Leading BNPL Company, Paidy, Transformed Their Data Operations with Prefect
Paidy
“Paidy transformed their data operations with Prefect for seamless BNPL services.”
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How Foundry Cut Workflow Deployment Time by 80% Using Prefect
Foundry
“With Prefect in place, we don't have to think about orchestration as a problem every day. The platform just works.”
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