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Beyond “Prompt and Pray”

O'Reilly on Data

This approach delivers substantial benefits: consistent execution, lower costs, better security, and systems that can be maintained like traditional software. This translates to higher costs and slower response times. These workflows are then implemented as traditional software, which can be tested, versioned, and maintained.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

The Medallion architecture offers several benefits, making it an attractive choice for data engineering teams. Get Off The Blocks Fast: Data Quality In The Bronze Layer Effective Production QA techniques begin with rigorous automated testing at the Bronze layer , where raw data enters the lakehouse environment.

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Agentic AI design: An architectural case study

CIO Business Intelligence

The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed.

Testing 135
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CIOs face mounting pressure as AI costs and complexities threaten enterprise value

CIO Business Intelligence

CIOs are under increasing pressure to deliver meaningful returns from generative AI initiatives, yet spiraling costs and complex governance challenges are undermining their efforts, according to Gartner. hours per week by integrating generative AI into their workflows, these benefits are not felt equally across the workforce.

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Machine Learning is Invaluable for Mobile App Testing Automation

Smart Data Collective

We have talked extensively about some of the benefits of AI and machine learning in mobile app development in previous blog posts. However, one of the benefits that we haven’t talked as much about is the application of machine learning for testing new apps during the design process. What Is Automated Mobile App Testing?

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Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

AWS Big Data

In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 Additionally, the cost efficiency improves by 2.9 times, with the total cost decreasing from $16.00 Benchmark tests for the EMR runtime for Spark and Iceberg were conducted on Amazon EMR 7.5 with Iceberg 1.6.1 hours to 0.42 on EC2 clusters.

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9 IT resolutions for 2025

CIO Business Intelligence

And ensure effective and secure AI rollouts AI is everywhere, and while its benefits are extensive, implementing it effectively across a corporation presents challenges. Deliver value from generative AI As organizations move from experimenting and testing generative AI use cases , theyre looking for gen AI to deliver real business value.

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