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Are enterprises ready to adopt AI at scale?

CIO

To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. Another challenge here stems from the existing architecture within these organizations.

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FinOps SaaS: The missing piece of the puzzle

CIO

Understanding this complexity, the FinOps Foundation is developing best practices and frameworks to integrate SaaS into the FinOps architecture. It’s critical to understand the ramifications of true-ups and true-downs as well as other cost measures like storage or API usage because these can unpredictably drive-up SaaS expenses.

Cloud 173
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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. The Right Foundation Having trustworthy, governed data starts with modern, effective data management and storage practices.

Data 147
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Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The architecture seamlessly integrates multiple AWS services with Amazon Bedrock, allowing for efficient data extraction and comparison. The following diagram illustrates the solution architecture. Reduced risk of errors or non-compliance in the reporting process, enforcing adherence to established guidelines.

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Unit Testing in Android Apps: A Deep Dive into MVVM

Perficient

The Model-View-ViewModel (MVVM) architectural pattern is widely adopted in Android app development. Unit testing each layer in an MVVM architecture offers numerous benefits: Early Bug Detection: Identify and fix issues before they propagate to other parts of the app. Data Storage: Test how the Repository stores and retrieves data.

Testing 80
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Data trends in 2025

Xebia

In many companies, data is spread across different storage locations and platforms, thus, ensuring effective connections and governance is crucial. And data.world ([link] a company that we are particularly interested in because of their knowledge graph architecture. Poor data quality automatically results in poor decisions.

Trends 130