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Innovative data integration in 2024: Pioneering the future of data integration

CIO

Of late, innovative data integration tools are revolutionising how organisations approach data management, unlocking new opportunities for growth, efficiency, and strategic decision-making by leveraging technical advancements in Artificial Intelligence, Machine Learning, and Natural Language Processing. billion by 2025.

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How Serverless Technologies Can Achieve Optimal DevOps Practices

DevOps.com

However, although engineering resources may be slim, serverless offers new solutions to tackle the DevOps challenge. From improved IoT devices to cost-effective machine learning applications, the serverless ecosystem is […].

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Aws Glue Complet view

Perficient

AWS Glue is a serverless data integration service that simplifies the discovery, preparation, and movement of data for analytics, machine learning (ML), and application development. Run efficient Spark jobs: Leverage serverless Spark environments for data processing, eliminating the need to provision and manage clusters.

AWS 52
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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Knowledge Bases is completely serverless, so you don’t need to manage any infrastructure, and when using Knowledge Bases, you’re only charged for the models, vector databases and storage you use. The OpenSearch Serverless collection. RAG is a popular technique that combines the use of private data with large language models (LLMs).

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Cloud Computing Trends and Innovations

Apiumhub

This paradigm shift significantly reduces latency, making real-time processing feasible for applications such as the Internet of Things (IoT), autonomous vehicles, and augmented reality. Edge computing, quantum computing, serverless architectures, and advanced security measures are reshaping how organizations leverage cloud resources.

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IoT Insights Part 1: A Story of Embedded Software in the IoT World

Gorilla Logic

In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. In the next post, I will show how Gorillas have developed full-fledged serverless solutions using AWS. Some of the IoT Challenges.

IoT 47
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The Future of Software Development: Trends to Watch

Invid Group

Artificial intelligence and machine learning Software development is already evolving due to artificial intelligence (AI) and machine learning (ML), and this trend is expected to continue. The rising popularity of cloud-based services and IoT devices drive the demand for security solutions.