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

CIO

From data masking technologies that ensure unparalleled privacy to cloud-native innovations driving scalability, these trends highlight how enterprises can balance innovation with accountability. These capabilities rely on distributed architectures designed to handle diverse data streams efficiently.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Solution overview The solution presented in this post uses batch inference in Amazon Bedrock to process many requests efficiently using the following solution architecture.

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Reimagine application modernisation with the power of generative AI

CIO

This allows for a more informed and precise approach to application development, ensuring that modernised applications are robust and aligned with business needs. Alignment: Is the solution customisable for -specific architectures, and therefore able to unlock additional, unique efficiency, accuracy, and scalability improvements?

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean. Planned innovations: Disaggregated storage architecture.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. Technology modernization strategy : Evaluate the overall IT landscape through the lens of enterprise architecture and assess IT applications through a 7R framework.

Cloud 147
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AI’s data problem: How to build the right foundation

CIO

With data existing in a variety of architectures and forms, it can be impossible to discern which resources are the best for fueling GenAI. With the right hybrid data architecture, you can bring AI models to your data instead of the other way around, ensuring safer, more governed deployments.

Data 147
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CIOs contend with gen AI growing pains

CIO

Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. It’s time for them to actually relook at their existing enterprise architecture for data and AI,” Guan said. “A

Airlines 204