
IBM's Modern Data Accelerators on AWS enable enterprises to build unified, multi-use case data platforms that reduce costs, improve data quality, and accelerate time-to-value compared to legacy siloed data environments.


<div><p>This article describes IBM's Modern Data Accelerators, a suite of tools and processes designed to help enterprises build modern data fabric architectures on AWS, reducing time-to-value and costs.</p><ul><li>Addresses legacy data environment challenges with siloed data warehouses, lakes, and databases</li><li>Provides integrated multi-use case data platform with common provisioning and consumption layers</li><li>Includes workload analysis, real-time/batch integration engine, data mesh console, and AI classifier</li><li>Features master data management, monitoring, data marketplace, and science model repository</li><li>Healthcare case study: deployed 14 predictive models in 12 weeks, 23 datasets in 3 months</li><li>Enables manage, govern, and secure objectives for data fabric implementations</li></ul><p>IBM's Modern Data Accelerators accelerate data platform modernization on AWS by combining pre-built assets and processes to reduce delivery time, cost, and legacy system risks.</p></div>


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