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Agentic AI design: An architectural case study

CIO

Agentic AI is the next leap forward beyond traditional AI to systems that are capable of handling complex, multi-step activities utilizing components called agents. He believes these agentic systems will make that possible, and he thinks 2025 will be the year that agentic systems finally hit the mainstream. They have no goal.

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How ML System Design helps us to make better ML products

Xebia

With the industry moving towards end-to-end ML teams to enable them to implement MLOPs practices, it is paramount to look past the model and view the entire system around your machine learning model. The classic article on Hidden Technical Debt in Machine Learning Systems explains how small the model is compared to the system it operates in.

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Why GreenOps will succeed where FinOps is failing

CIO

Capital One built Cloud Custodian initially to address the issue of dev/test systems left running with little utilization. Architects must combine functional requirements with multiple other long-term requirements to build sustainable systems. The rapid adoption of AI is making the challenge an order of magnitude worse.

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

CIO

Due to the inherent competitiveness of various cloud providers to expand ruthlessly, they are constantly working on cutting-edge improvements and optimization features for their services that will be made available to their customers. This article was made possible by our partnership with the IASA Chief Architect Forum.

Cloud 147
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Interviewing is a noisy prediction problem

Erik Bernhardsson

So we can choose to spend one hour on system design, one hour on algorithms, etc. System design. Let’s review research and see what measurements to pick that are most predictive. Judging by the literature review earlier in this post, unstructured interviews are almost useless. Algorithms. Github portfolio.

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Enabling privacy and choice for customers in data system design

Lacework

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. In the first article in this series, the topic of privacy by design is covered in some detail, particularly regarding the design of products for enterprise security and data hosting.

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6 enterprise DevOps mistakes to avoid

CIO

But DevOps struck me as too dev-centric at the time, and my first articles questioned who owned DevOps and how DevOps was a major shift in practices. AI complements the work of developers and engineers, freeing up time for innovation, system design, and architecture,” says Andrea Malagodi, CIO of Sonar. “I

DevOps 214