Board members and senior executives are reassessing data governance and risk management at the enterprise level, citing five ...

Most enterprises are burning AI budgets on tools they're not ready to use. The constraint isn't compute — it's the messy, ...

Organizations need to be less trustful of data given how much of it is AI-generated, according to new research from Gartner. As more enterprises jump on board the generative AI train — a recent ...

Brett Conrad, VP of Public Sector at Box, discussed the shift from AI pilot projects to operational use in government ...

Another challenge arises from the pace of modern data environments. Cloud platforms, streaming pipelines and self-service ...

Yale's Jeffrey Sonnenfeld and colleagues argue that Claude Mythos will break enterprise deployment in ways that cannot be ...

Abstract: The increasing reliance on artificial intelligence (AI) and advanced analytics to gain competitive advantages has elevated the importance of robust data governance frameworks. This article ...

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 ...

Artificial intelligence (AI) is transforming industries by automating processes, enabling smarter decisions, and unlocking new avenues for innovation. According to recent Semarchy research, 74% of ...

Basic task automation has quickly evolved into sophisticated applications generating human-like text, images, code, and more.

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 ...