Organizations face mounting pressure to govern their data effectively, especially as employees rapidly adopt generative AI tools for daily work – often without proper oversight. This so-called shadow AI…
Governing Generative AI: Foundational Mechanisms for Responsible Adoption
Generative AI is evolving at a rapid pace – from automating document extracts to reviews to powering customer interactions. But with speed comes greater risks, including privacy leakage, intellectual property leakage, bias in outputs, regulatory frameworks, and unclear accountability. Unlike traditional IT systems, generative AI adoption is often bottom-up with employees’ vibe coding with models, making it hard to control technically while foundation models evolve unpredictably…
Comparing EU and U.S. State Laws on AI: A Checklist for Proactive Compliance
The global market for artificial intelligence is evolving under two very different legal paradigms. On one side, the European Union has enacted the AI Act, the first comprehensive and enforceable regulatory regime for AI, applicable across all member states and with far-reaching extraterritorial scope. On the other, the United States continues to advance AI oversight primarily at the state level, resulting in a patchwork of rules that vary in focus, definitions, and enforcement…
Sep 9 Data-Ed Webinar: Engineering Data Quality – A Framework for Effective Data Management
Download the slides here >> This webinar is sponsored by: About the Webinar High-quality data is essential for effective data management strategies, which can lead to significant procedural improvements and increased profit margins. Engineering data quality provides a framework for utilizing data quality management effectively in support of business strategy. This approach allows for the […]
How to Learn Data Science: A Practical Six-Month Roadmap and Recommended Learning Paths
As organizations discover new ways to leverage the often massive amount of data they collect, the demand for data science professionals continues to grow. The U.S. Bureau of Labor Statistics predicts…
Best Data Governance Courses, Training, and Certifications
With the rise of AI and ever-evolving data privacy regulations, data governance is no longer optional. Yet, DATAVERSITY’s recent Trends in Data Management Report reveals a striking disconnect…
Ask a Data Ethicist: How Does the Use of AI Impact People’s Perceptions of You?
Last October, I wrote a column about the use of generative AI in producing a professional service. I pondered the question of whether or not others’ knowledge about the use of AI in producing a professional service – such as legal work, consulting, or creative work – would devalue the service. My hypothesis was that […]
Mind the Gap: Agentic AI and the Risks of Autonomy
The ink is barely dry on generative AI and AI agents, and now we have a new next big thing: agentic AI. Sounds impressive. By the time this article comes out, there’s a good chance that agentic AI will be in the rear-view mirror and we’ll all be chasing after the next new big thing. […]
DAS Webinar: Data Quality Best Practices
Download the slides here >> This webinar is sponsored by: About the Webinar Tackling data quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join […]
Case Study: Building a Foundation for Data Stewardship Engagement
Table of Contents Key Takeaways The Importance of Data Governance and Stewardship Data governance has become a strategic priority for many organizations to streamline operations and integrate data. According to DATAVERSITY’s recent Trends in Data Management Survey, nearly 75% of organizations have implemented data governance practices. Following this trend, CPS Energy, a large municipally owned utility based in […]