Remove 2025 Remove Data Lakes Remove Data Observability
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How Anomalo solves unstructured data quality issues to deliver trusted assets for AI with AWS

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In this post, we explore how you can use Anomalo with Amazon Web Services (AWS) AI and machine learning (AI/ML) to profile, validate, and cleanse unstructured data collections to transform your data lake into a trusted source for production ready AI initiatives, as shown in the following figure.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

The quality and quantity of data can make or break AI success, and organizations that effectively harness and manage their data will reap the most benefits. Data is exploding, both in volume and in variety. This approach ensures that data quality initiatives deliver on accuracy, accessibility, timeliness and relevance.

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