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Data distilleries: CIOs turn to new efficient enterprise data platforms

CIO Business Intelligence

These tools empower users with sector-specific expertise to manage data without extensive programming knowledge. Features such as synthetic data creation can further enhance your data strategy. This ensures your organization effectively utilizes data, scales effortlessly, and stays agile and adaptable.

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AI market evolution: Data and infrastructure transformation through AI

CIO Business Intelligence

AI a primary driver in IT modernization and data mobility AI’s demand for data requires businesses to have a secure and accessible data strategy. AI applications are evenly distributed across virtual machines and containers, showcasing their adaptability.

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Modernize your legacy databases with AWS data lakes, Part 2: Build a data lake using AWS DMS data on Apache Iceberg

AWS Big Data

Anoop Kumar K M is a Data Architect at AWS with focus in the data and analytics area. He helps customers in building scalable data platforms and in their enterprise data strategy. His areas of interest are data platforms, data analytics, security, file systems and operating systems.

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How Volkswagen Autoeuropa built a data solution with a robust governance framework, simplifying access to quality data using Amazon DataZone

AWS Big Data

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. Finally, we highlight the key business outcomes.

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Simplify real-time analytics with zero-ETL from Amazon DynamoDB to Amazon SageMaker Lakehouse

AWS Big Data

At AWS re:Invent 2024, we introduced a no code zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse , simplifying how organizations handle data analytics and AI workflows. Go-to-market (GTM) Data & AI solutions architect at AWS in Japan. Junpei Ozono is a Sr.

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Optimizing vector search using Amazon S3 Vectors and Amazon OpenSearch Service

AWS Big Data

His interests are in all things data and analytics. More specifically he loves to help customers use AI in their data strategy to solve modern day challenges. Mark Twomey is a Senior Solutions Architect at AWS focused on storage and data management.

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Integrate scientific data management and analytics with the next generation of Amazon SageMaker, Part 1

AWS Big Data

Chaitanya is responsible for helping life sciences organizations and healthcare companies in developing modern data strategies, deploy data governance and analytical applications, electronic medical records, devices, and AI/ML-based applications, while educating customers about how to build secure, scalable, and cost-effective AWS solutions.