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AI Success – Powered by Data Governance and Quality

Precisely

Robust data governance for AI ensures data privacy, compliance, and ethical AI use. But achieving AI mastery comes with its own unique hurdles – the most significant being ensuring the quality and governance of the data that fuels your AI systems. And within those data strategies, data governance is non-negotiable.

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Meetings And Their Relevance In Separating Governance From Management

Knowledge Hut

What is the difference between governing body and management? I am sure most of us have attended or conducted meetings as a part of management governance. There is an urgent need to separate governance from management. What’s worse is how unproductive these meetings as part of governance usually are.

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Best Practices for Responsible AI Innovation and Governance Frameworks

Snowflake

With the breakneck speed of AI advancement, new innovations inevitably outpace global governments’ abilities to regulate its use. Rather than struggle with a reactive approach tackling new technology case by case, governments worldwide are developing AI governance frameworks that proactively seek ways to address these challenges.

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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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Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations.

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Why Spatial Data Governance is Critical to Your Business Strategy

Precisely

When speaking to organizations about data integrity , and the key role that both data governance and location intelligence play in making more confident business decisions, I keep hearing the following statements: “For any organization, data governance is not just a nice-to-have! “ “Everyone knows that 80% of data contains location information.

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Databricks on Databricks: Kicking off the Journey to Governance with Unity Catalog

databricks

In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.

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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.