Despite rapidly embracing AI to boost productivity, organizational governance models—the policies and systems an organization ...

In every digital transformation I’ve consulted on, from global banks to manufacturing giants, the failure point isn’t usually the strategy. It’s the governance. Strategy defines where to go.

Finance and governance are experiencing profound changes in corporate history in modern times. For decades, financial ...

For AI success, organizations must align strategy, governance and talent across the enterprise, building trust and ...

Enhance your data strategy with effective data quality and data governance practices. Learn their differences and how to integrate the strategies successfully. Data quality and data governance ...

As the use of AI becomes more and more ubiquitous across industries, becoming as widespread as electricity and clean drinking water, the conversation around the new technology is beginning to move ...

Investors and consumers are increasingly considering an organization's environmental, social, and governance, or ESG, strategies as they choose where to invest, where to work, or where to purchase ...

Insights from 131 energy leaders reveal why data governance, not AI capability, has become the biggest barrier to scaling AI ...

As universities struggle to respond to polarizing issues, their integrity and effectiveness are being called into question. More than half of respondents in a recent U.S. News-Harris poll believe that ...

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 ...

From establishing team leaders to understanding your own data, there’s a lot to keep in mind when developing a well-thought-out data governance strategy. However, with the right team and know-how, a ...

Key questions to address in AI governance include what important regulatory compliance is needed, what data can be used in training AI models, what data must not be shared with public LLMs, and what ...