article thumbnail

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.

article thumbnail

2024 Governance Trends for Data Leaders

phData: Data Engineering

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. With that, let’s get into the governance trends for data leaders! Want to Save This Guide for Later?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

2025 Planning Insights: Data Governance Adoption Has Risen Dramatically

Precisely

Key Takeaways: Interest in data governance is on the rise 71% of organizations report that their organization has a data governance program, compared to 60% in 2023. Data governance is a top data integrity challenge, cited by 54% of organizations second only to data quality (56%). The results are in!

article thumbnail

Practical First Steps In Data Governance For Long Term Success

Data Engineering Podcast

Data governance is the binding force between these two parts of the organization. Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. What are some of the pitfalls in data governance?

article thumbnail

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.

article thumbnail

Can Data Governance Address AI Fatigue?

KDnuggets

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

article thumbnail

How Skyscanner Enabled Data & AI Governance with Monte Carlo

Monte Carlo

But since 2020, Skyscanner’s data leaders have been on a journey to simplify and modernize their data stack — building trust in data and establishing an organization-wide approach to data and AI governance along the way. There are lots of benefits, like engineering time, that we’re seeing from data observability.”

article thumbnail

Enhance Innovation and Governance Through the Cloud Development Maturity Model

By implementing Cloud Development Environments (CDEs), teams can boost efficiency, improve security, and streamline operations through centralized governance. This model offers a structured approach to modernizing development, aligning technology, developer experience, security, and workflows.

article thumbnail

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.