The main challenges include integrating real-time data from multiple sources (billing, product analytics, CRM), managing data latency that reduces model accuracy, handling model drift that occurs within weeks of deployment, and maintaining continuous retraining pipelines. Integration risks with third-party systems and ongoing data pipeline maintenance are also significant challenges.
The main challenges include integrating real-time data from multiple sources (billing, product analytics, CRM), managing data latency that reduces model accuracy, handling model drift that occurs within weeks of deployment, and maintaining continuous retraining pipelines. Integration risks with third-party systems and ongoing data pipeline maintenance are also significant challenges.
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The main challenges include integrating real-time data from multiple sources (billing, product analytics, CRM), managing data latency that reduces model accuracy, handling model drift that occurs within weeks of deployment, and maintaining continuous retraining pipelines. Integration risks with third-party systems and ongoing data pipeline maintenance are also significant challenges.
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