Remove 09 ai-productivity-tools
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Build a transactional data lake using Apache Iceberg, AWS Glue, and cross-account data shares using AWS Lake Formation and Amazon Athena

AWS Big Data

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture. Choose Create bucket. Create two subfolders.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. Today’s data management and analytics products have infused artificial intelligence (AI) and machine learning (ML) algorithms into their core capabilities. We agree with that.