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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

Unlike traditional masking methods, their solution ensures that the data remains usable for testing, analytics, and development without exposing the actual values. These capabilities rely on distributed architectures designed to handle diverse data streams efficiently.

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Trade routes of the digital age: How data gravity shapes cloud strategy

CIO

However, as companies expand their operations and adopt multi-cloud architectures, they are faced with an invisible but powerful challenge: Data gravity. This is particularly problematic for real-time analytics, AI/ML processing and mission-critical workloads, which require low-latency access to data to function efficiently.

Strategy 164
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Unlocking the Power of Serverless AI/ML on AWS: Expert Strategies for Scalable and Secure Applications

Dzone - DevOps

Amazon Web Services (AWS) provides an expansive suite of tools to help developers build and manage serverless applications with ease. In this article, we delve into serverless AI/ML on AWS, exploring best practices, implementation strategies, and an example to illustrate these concepts in action.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

To achieve these goals, the AWS Well-Architected Framework provides comprehensive guidance for building and improving cloud architectures. The solution incorporates the following key features: Using a Retrieval Augmented Generation (RAG) architecture, the system generates a context-aware detailed assessment.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless application architecture. And much more!

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Build a reverse image search engine with Amazon Titan Multimodal Embeddings in Amazon Bedrock and AWS managed services

AWS Machine Learning - AI

In this post, you will learn how to extract key objects from image queries using Amazon Rekognition and build a reverse image search engine using Amazon Titan Multimodal Embeddings from Amazon Bedrock in combination with Amazon OpenSearch Serverless Service. An Amazon OpenSearch Serverless collection. b64encode(resized_image).decode('utf-8')

AWS 101
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This is the beginning of the unbundled database era

TechCrunch

Today, thanks to the cloud, microservices, distributed applications, global scale, real-time data and deep learning, new database architectures have emerged to solve for new performance requirements. We now have different systems for fast reads and fast writes.