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Agentic AI design: An architectural case study

CIO

An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction. Especially with companies like Microsoft, OpenAI, Meta, Salesforce and others in the news recently with announcements of agentic AI and agent creation tools and capabilities.

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Why GreenOps will succeed where FinOps is failing

CIO

For individual companies, public cloud spending has skyrocketed in recent years , often exceeding the expectations of initial cloud business cases, and frequently accelerating faster than controls can be implemented. The result was a compromised availability architecture. Long-term value creation.

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A Detailed Guide on Conducting Effective System Design Interviews

Hacker Earth Developers Blog

System design interviews are becoming increasingly popular, and important, as the digital systems we work with become more complex. The term ‘system’ here refers to any set of interdependent modules that work together for a common purpose. Uber, Instagram, and Twitter (now X) are all examples of ‘systems’.

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

CIO

Otherwise, companies will struggle to realize business value with AI/ML capabilities left to endure high cloud cost expenses, as it has been for many companies in 2024 for AI solutions. The assessment provides insights into the current state of architecture and workloads and maps technology needs to the business objectives.

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8 Steps to acing your next system design interview

Hacker Earth Developers Blog

System design can be a huge leap forward in your career both in terms of money and satisfaction you get from your job. But if your previous job was focused on working closely on one of the components of a system, it can be hard to switch to high-level thinking. Imagine switching from roofing to architectural design.

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8 Steps to acing your next system design interview

Hacker Earth Developers Blog

System design can be a huge leap forward in your career both in terms of money and satisfaction you get from your job. But if your previous job was focused on working closely on one of the components of a system, it can be hard to switch to high-level thinking. Imagine switching from roofing to architectural design.

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How ML System Design helps us to make better ML products

Xebia

Table of Contents What is Machine Learning System Design? Design Process Clarify requirements Frame problem as an ML task Identify data sources and their availability Model development Serve predictions Observability Iterate on your design What is Machine Learning System Design?