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Practical First Steps In Data Governance For Long Term Success

Data Engineering Podcast

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. At what point does a lack of an explicit governance policy become a liability?

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AI Success – Powered by Data Governance and Quality

Precisely

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

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Why Spatial Data Governance is Critical to Your Business Strategy

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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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Where Does Data Governance Fit Into Hybrid Cloud?

Cloudera

But for all the excitement and movement happening within hybrid cloud infrastructure and its potential with AI, there are still risks and challenges that need to be appropriately managed—specifically when it comes to the issue of data governance. The need for effective data governance itself is not a new phenomenon.

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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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Can Data Governance Address AI Fatigue?

KDnuggets

This post explains how data governance can help data scientists handle AI fatigue and build robust models.

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Data Governance Trends für 2024

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Da Daten und datengesteuerte Entscheidungsfindung eine immer größere Rolle spielen und das Gesamtvolumen und die Geschwindigkeit der verfügbaren Daten zunimmt, entwickelt sich die Data Governance weiter, um den sich ändernden Geschäftsanforderungen gerecht zu werden. Was sind die wichtigsten Trends im Bereich Data Governance für 2024?