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

CIO

Augmented data management with AI/ML Artificial Intelligence and Machine Learning transform traditional data management paradigms by automating labour-intensive processes and enabling smarter decision-making. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise.

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Building a Scalable ML Pipeline and API in AWS

Dzone - DevOps

With rapid progress in the fields of machine learning (ML) and artificial intelligence (AI), it is important to deploy the AI/ML model efficiently in production environments. The architecture downstream ensures scalability, cost efficiency, and real-time access to applications.

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

AWS Machine Learning - AI

Exclusive to Amazon Bedrock, the Amazon Titan family of models incorporates 25 years of experience innovating with AI and machine learning at Amazon. Store embeddings : Ingest the generated embeddings into an OpenSearch Serverless vector index, which serves as the vector database for the solution. b64encode(resized_image).decode('utf-8')

AWS 102
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Building accessible tools for large-scale computation and machine learning

O'Reilly Media - Data

The O’Reilly Data Show Podcast: Eric Jonas on Pywren, scientific computation, and machine learning. Jonas and his collaborators are working on a related project, NumPyWren, a system for linear algebra built on a serverless architecture. Jonas is also affiliated with UC Berkeley’s RISE Lab.

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock Custom Model Import enables the import and use of your customized models alongside existing FMs through a single serverless, unified API. This serverless approach eliminates the need for infrastructure management while providing enterprise-grade security and scalability. 8B 128K model to 8 Units for a Llama 3.1

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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning.