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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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Leveraging Serverless and Generative AI for Image Captioning on GCP

Xebia

Leveraging Serverless and Generative AI for Image Captioning on GCP In today’s age of abundant data, especially visual data, it’s imperative to understand and categorize images efficiently. TL;DR We’ve built an automated, serverless system on Google Cloud Platform where: Users upload images to a Google Cloud Storage Bucket.

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Cloud Computing Trends and Innovations

Apiumhub

As technology advances, innovations are shaping the future of cloud computing trends. Serverless Computing: Event-Driven Efficiency Serverless computing, often referred to as Function as a Service (FaaS), allows developers to execute code in response to specific events without managing the underlying infrastructure.

Trends 52
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Build a contextual text and image search engine for product recommendations using Amazon Bedrock and Amazon OpenSearch Serverless

AWS Machine Learning - AI

Search engines and recommendation systems powered by generative AI can improve the product search experience exponentially by understanding natural language queries and returning more accurate results. We use Amazon OpenSearch Serverless as a vector database for storing embeddings generated by the Amazon Titan Multimodal Embeddings model.

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4 remedies to avoid cloud app migration headaches

CIO

that make migration to another platform difficult due to the complexity of recreating all of that on a new platform. Sid Nag, VP, cloud services and technology, Gartner Gartner He recommends retaining the services of an MSP or systems integrator to do the planning and ensure you’re choosing the right applications to move to the cloud.

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How a Trading Tool FinTech Company Prepared for 10X Growth Through Amazon Aurora MySQL Assessment with Datavail

Datavail

Database Performance Needed to Scale with the FinTech Company’s Success The customer wanted to enable the ability to scale and quickly innovate to help its financial services users grow their businesses and solve their needs. By optimizing the use of RDS Proxy Read and auto-scaling policies, read scalability becomes more cost-effective.

Fintech 52
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Build an end-to-end RAG solution using Knowledge Bases for Amazon Bedrock and AWS CloudFormation

AWS Machine Learning - AI

Retrieval Augmented Generation (RAG) is a state-of-the-art approach to building question answering systems that combines the strengths of retrieval and foundation models (FMs). An end-to-end RAG solution involves several components, including a knowledge base, a retrieval system, and a generation system.