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The Book Look: The Enrichment Game

The Data Administration Newsletter

Doug has spoken many times at our Data Modeling Zone conferences over the years, and when I read the book, I can hear him talk in his distinct descriptive and conversational style. The Enrichment Game describes how to improve data quality and data useability […].

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The AI Playbook: Providing Important Reminders to Data Professionals

The Data Administration Newsletter

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations.

AI 122
professionals

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Architect a mature generative AI foundation on AWS

Flipboard

Data quality is ownership of the consuming applications or data producers. Governance The two key areas of governance are model and data: Model governance Monitor model for performance, robustness, and fairness. Telemetry should be collected for actions that users take on the central system.

AWS 139
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Becoming a Prized Data Warehouse and Data Integration Tester

Dataversity

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […].

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Data Governance for Dummies: Your Questions, Answered

Alation

In this blog, I’ll address some of the questions we did not have time to answer live, pulling from both Dr. Reichental’s book as well as my own experience as a data governance leader for 30+ years. Can you have proper data management without establishing a formal data governance program? This is a very good thing.

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LLMOps vs. MLOps: Understanding the Differences

Iguazio

To read more about LLMOps and MLOps, checkout the O’Reilly book “Implementing MLOps in the Enterprise” , authored by Iguazio ’s CTO and co-founder Yaron Haviv and by Noah Gift. LLMOps (Large Language Model Operations), is a specialized domain within the broader field of machine learning operations (MLOps). What is LLMOps?

ML 52
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Data Demystified: What Exactly is Data?- 4 Types of Analytics

Pickl AI

Data Modeling: Developing predictive models using machine learning algorithms like regression, decision trees, and neural networks. Data Cleansing: Ensuring data quality and removing outliers to improve model accuracy. The post Data Demystified: What Exactly is Data? Key Features: i.