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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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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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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. Standardized metrics. Overemphasis on tools, budgets and controls.

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Ground truth generation and review best practices for evaluating generative AI question-answering with FMEval

AWS Machine Learning - AI

Ground truth data in AI refers to data that is known to be factual, representing the expected use case outcome for the system being modeled. By providing an expected outcome to measure against, ground truth data unlocks the ability to deterministically evaluate system quality.

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

AWS Machine Learning - AI

Verisk has a governance council that reviews generative AI solutions to make sure that they meet Verisks standards of security, compliance, and data use. Verisk also has a legal review for IP protection and compliance within their contracts. Verisk conducted multiple rounds of human evaluation of the generated results.

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What is ERP? Enterprise resource planning systems explained

CIO

Enterprise resource planning (ERP) is a system of integrated software applications that manages day-to-day business processes and operations across finance, human resources, procurement, distribution, supply chain, and other functions. ERP systems improve enterprise operations in a number of ways. Key features of ERP systems.

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Distributed systems: A quick and simple definition

O'Reilly Media - Ideas

Get a basic understanding of distributed systems and then go deeper with recommended resources. These always-on and always-available expectations are handled by distributed systems, which manage the inevitable fluctuations and failures of complex computing behind the scenes. “The Benefits of distributed systems.