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Your Data Architecture Holds the Key to Unlocking AI’s Full Potential

CIO Business Intelligence

Operationalizing AI at scale mandates that your full suite of data–structured, unstructured and semi-structured get organized and architected in a way that makes it useable, readily accessible and secure. In order to move AI forward, we need to first build and fortify the foundational layer: data architecture.

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Get maximum value out of your cloud data warehouse with Amazon Redshift

AWS Big Data

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. This performance innovation allows Nasdaq to have a multi-use data lake between teams.

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Estimating Scope 1 Carbon Footprint with Amazon Athena

AWS Big Data

In this blog, we will walk through how we can apply existing enterprise data to better understand and estimate Scope 1 carbon footprint using Amazon Simple Storage Service (S3) and Amazon Athena , a serverless interactive analytics service that makes it easy to analyze data using standard SQL.

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Unstructured data management and governance using AWS AI/ML and analytics services

AWS Big Data

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Text, images, audio, and videos are common examples of unstructured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value.

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A data strategy checklist for the journey to the data-driven enterprise

BI-Survey

Digitalization is on the agenda of almost every company, and data is the foundation of digitalization. Its availability and quality are crucial for digital success, making it an important economic asset for the business. Data management is unfortunately considered to be a thankless task.