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The Race For Data Quality in a Medallion Architecture

DataKitchen

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. This involves setting up automated, column-by-column quality tests to quickly identify deviations from expected values and catch emerging issues before they impact downstream layers.

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Get Started With Interactive Weekly Reports For Performance Tracking

datapine

This is where interactive weekly reports come into the picture. Armed with powerful visualizations and real-time data, modern weekly summary reports enable businesses to closely monitor their performance and the progress of their strategies to extract relevant insights and optimize their processes to ensure constant growth.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. What breaks your app in production isnt always what you tested for in dev! The way out?

Testing 180
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Agentic AI design: An architectural case study

CIO Business Intelligence

Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being. An agent is part of an AI system designed to act autonomously, making decisions and taking action without direct human intervention or interaction.

Testing 135
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Easily Build an Optimization App and Empower Your Data

Speaker: Gertjan de Lange

If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Discover how the AIMMS IDE allows you to analyze, build, and test a model.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO Business Intelligence

This digital representation allows for real-time monitoring, analysis and optimization of systems. Simulations allow for scenario testing and optimization without impacting the physical system. Simulate and validate Perform simulations to test the digital twin under various scenarios. Prototyping and testing.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Agentic AI can make sales more effective by handling lead scoring, assisting with customer segmentation, and optimizing targeted outreach, he says.

IT 139