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Case in point: taking stock of the CrowdStrike outages

CIO

Last summer, a faulty CrowdStrike software update took down millions of computers, caused billions in damages, and underscored that companies are still not able to manage third-party risks, or respond quickly and efficiently to disruptions. It was an interesting case study of global cyber impact, says Charles Clancy, CTO at Mitre.

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Vibe Coding, Vibe Checking, and Vibe Blogging

O'Reilly Media - Ideas

Some of you might have read my recent piece for O’Reilly Radar where I detailed my journey adding AI chat capabilities to Python Tutor , the free visualization tool that’s helped millions of programming students understand how code executes. Let me walk you through a recent example that perfectly illustrates this approach.

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TDD saved the day

Xebia

Sometimes, the coding task in front of you can be overwhelmingly complex. To tackle each operation, I started with a small test, following the principles of Test-Driven Development (TDD). Then, you implement a portion of the code that fulfills the test’s requirements. Clean up the code, and repeat.

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CIOs are rethinking how they use public cloud services. Here’s why.

CIO

Increasingly, however, CIOs are reviewing and rationalizing those investments. As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system.

Cloud 209
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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Through advanced data analytics, software, scientific research, and deep industry knowledge, Verisk helps build global resilience across individuals, communities, and businesses. Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use.

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LLM benchmarking: How to find the right AI model

CIO

Whether its about selecting a chatbot for customer service, translating scientific texts or programming software, benchmarks provide an initial answer to the question: Is this model suitable for my use case? Platforms like Hugging Face or Papers with Code are good places to start.

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Model customization, RAG, or both: A case study with Amazon Nova

AWS Machine Learning - AI

We conducted a comprehensive comparison study between model customization and RAG using the latest Amazon Nova models, and share these valuable insights. This post offers a comprehensive comparison of RAG and fine-tuning, clarifying their strengths, limitations, and contexts where each approach delivers the best performance.