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AI market evolution: Data and infrastructure transformation through AI

CIO

However, many face challenges finding the right IT environment and AI applications for their business due to a lack of established frameworks. Currently, enterprises primarily use AI for generative video, text, and image applications, as well as enhancing virtual assistance and customer support.

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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

Generative artificial intelligence (AI) has gained significant momentum with organizations actively exploring its potential applications. As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions.

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Choosing a cloud infrastructure provider: A beginner’s guide

TechCrunch

Developers at startups thought they could maintain multiple application code bases that work independently with each cloud provider. Deploying cloud infrastructure also involves analyzing tools and software solutions, like application monitoring and activity logging, leading many developers to suffer from analysis paralysis.

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Want AI? Here’s how to get your data and infrastructure AI-ready

CIO

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. Artificial intelligence (AI) is reshaping our world.

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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.

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You can’t grow trust on a rocky infrastructure

CIO

But not all organizations that store and process sensitive customer data are fully aware that a chink in infrastructure can break our digital trust. A trusted, distributed infrastructure must be flexible and scalable, allowing for agility without compromising on security. It is not just about building a robust infrastructure.

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Serverless Computing: The Future of Scalable Cloud Applications?

Dzone - DevOps

No longer are applications bound to the rigid framework of traditional server infrastructures; serverless computing has paved the way for developers to build and run applications without the need to manage servers. The cloud provider dynamically manages the allocation and provisioning of servers.