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Get to Know About Modern Data Governance

Analytics Vidhya

Introduction Given the world’s growing user base across devices and applications in recent years, we have seen a huge surge in not just the volume of data we are collecting but also in the number and variety of sources. The post Get to Know About Modern Data Governance appeared first on Analytics Vidhya.

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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

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This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. However, as data volumes and complexity continue to grow, effective data governance becomes a critical challenge.

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Why Data Quality is the Secret Ingredient to AI Success

insideBIGDATA

Key data attributes like accuracy, completeness, consistency, timeliness, and relevance play crucial roles in shaping AI performance and minimizing ethical risks.

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Modern Data Governance: Trends for 2025

Precisely

Key Takeaways: Prioritize metadata maturity as the foundation for scalable, impactful data governance. Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs. Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications.

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Implementing Data Governance in Data Science Pipelines: Techniques and Best Practices

KDnuggets

Discover the keys for a successful adoption of data governance schemes in your data science projects.

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Data Governance and Observability, Explained

KDnuggets

Let’s dive in and understand the ins and outs of data observability and data governance - the two keys to a more robust data foundation.