Remove 2022 Remove Analytics Remove Benchmark Remove Big data
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Linking ESG Programs to Corporate Financial Performance: An Econometric Analysis Approach

CSM Magazine

Furthermore, the integration of digital technologies, including artificial intelligence, blockchain, and big data, augments these ESG capabilities. Cross-sectional Models: These analyze data collected at a singular point in time, offering a snapshot view of the ESG-CFP relationship.

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How Getir reduced model training durations by 90% with Amazon SageMaker and AWS Batch

AWS Machine Learning

A model that generates a comprehensive category tree allows our commercial teams to benchmark our existing product portfolio against that of our competitors, offering a strategic advantage. This capability of predictive analytics, particularly the accurate forecast of product categories, has proven invaluable.

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Amazon SageMaker built-in LightGBM now offers distributed training using Dask

AWS Machine Learning

The supported data format can be either CSV or Parquet. Extensive benchmarking experiments on three publicly available datasets with various settings are conducted to validate its performance. Problem statement Machine learning has become an essential tool for extracting insights from large amounts of data.