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Achieve scalable cyber resiliency in the cloud during an age of exponential data growth

CIO

Data volumes continue to grow exponentially, and there’s no end in sight. IDC predicts that the amount of commercial data in storage will be 12.8 A typical novel contains 1 MB of data and is about 12 mm thick, so 12.8 A typical novel contains 1 MB of data and is about 12 mm thick, so 12.8 ZB by 2026.

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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

Cloud modernization has become a prominent topic for organizations, and AWS plays a crucial role in helping them modernize their IT infrastructure, applications, and services. Overall, discussions on AWS modernization are focused on security, faster releases, efficiency, and steps towards GenAI and improved innovation.

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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

The opportunities to unlock value using AI in the commercial real estate lifecycle starts with data at scale. Although CBRE provides customers their curated best-in-class dashboards, CBRE wanted to provide a solution for their customers to quickly make custom queries of their data using only natural language prompts.

AWS 94
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Building scalable, secure, and reliable RAG applications using Knowledge Bases for Amazon Bedrock

AWS Machine Learning - AI

As successful proof-of-concepts transition into production, organizations are increasingly in need of enterprise scalable solutions. The AWS Well-Architected Framework provides best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud.

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IBM and AWS Partnership Accelerates Cloud Modernization

CIO

Naturally, companies are drawn to AWS Cloud to reduce operating expenses. But they may overlook the required strategic planning and lack the development expertise to leverage AWS services and create fully optimized cloud-native apps that deliver actual cost advantages. .

AWS 268
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Innovative data integration in 2024: Pioneering the future of data integration

CIO

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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A secure approach to generative AI with AWS

AWS Machine Learning - AI

They’re often used with highly sensitive business data, like personal data, compliance data, operational data, and financial information, to optimize the model’s output. The biggest concern we hear from customers as they explore the advantages of generative AI is how to protect their highly sensitive data and investments.