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

AWS Machine Learning

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. Just like DevOps combines development and operations for software engineering, MLOps combines ML engineering and IT operations.

Analytics 101
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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro further accelerated their ML model journey by implementing Wipro’s code accelerators and snippets to expedite feature engineering, model training, model deployment, and pipeline creation. Query training results: This step calls the Lambda function to fetch the metrics of the completed training job from the earlier model training step.

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23 Inspiring Women to Watch in 2023

TechSee

Deborah Woods, Contact Center Manager, Costa Express Limited – With a strong track record of exceeding business metrics and a leader who can influence people at all levels and negotiate effectively, Deborah is a professional, goal-oriented people manager. We were excited to see her leading the conversation at MCW23 last week.

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Run your local machine learning code as Amazon SageMaker Training jobs with minimal code changes

AWS Machine Learning

This allows ML engineers and admins to configure these environment variables so data scientists can focus on ML model building and iterate faster. Define metrics to log run.log_metric("metric_a", 0.5) In the example, the metrics A and B are logged for a run over time inside a training loop.

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Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models

AWS Machine Learning

Bosch is a multinational corporation with entities operating in multiple sectors, including automotive, industrial solutions, and consumer goods. These metrics provide business planning insights at different levels of aggregation and enable data-driven decision-making. Evaluation metrics. Evaluation. Backtest windows.

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