A resource from the MetroLab Network offers local governments guidance about data governance policy and best practices. The resource, titled Model Data Governance Policy & Practice Guide, offers ...
MetroLab Network has partnered with Government Technology to bring its readers a segment called the MetroLab Innovation of the Month Series, which highlights impactful tech, data and innovation ...
Boost your organization's potential with comprehensive data governance, from C-suite support to data quality assurance, retention rules and more. As critical as data is for organizations to flourish ...
AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.
For decades, data governance in regulated financial institutions has rested on a familiar foundation. Policies are documented ...
If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...
Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...
How do data stewardship and data governance compare? Your email has been sent Data stewardship and data governance are important for any organization that wants to derive the maximum value from its ...
In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...
Is it better to monitor for quality or detect problems? It depends. Here's how to choose between active and passive data governance. Image: Friends Stock/Adobe Stock The goal of data governance is to ...
More than any other factor, the hyperabundance of accessible data has powered today’s surge in AI adoption and generative AI capability. Collecting, cleaning, organizing, and securing that data for AI ...
It’s been a huge 12 months for data and models. From the emergence of generative artificial intelligence (GenAI) tools such as ChatGPT in late 2022 to the ever-increasing reliance on machine learning ...