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Driving advanced analytics outcomes at scale using Amazon SageMaker powered PwC’s Machine Learning Ops Accelerator

AWS Machine Learning

However, putting an ML model into production at scale is challenging and requires a set of best practices. Many businesses already have data scientists and ML engineers who can build state-of-the-art models, but taking models to production and maintaining the models at scale remains a challenge.

Analytics 103
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Streamline Sales Processes with Enterprise CPQ

Cincom

Configurable rules encode compliance requirements and best practices to guide users and skip unnecessary steps. These Configure, Price, Quote engines can encode deeply technical manufacturing specifications required for specialized equipment. Embedded analytics quantify account growth rates and surface cross-sell targets.