As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Forbes contributors publish independent expert analyses and insights. Robert, founder of KramerERP, covers AI, ERP, SCM, data and security. Just like 2023, 2024 was a dynamic year for enterprise data ...

The proliferation of AI data, evolving regulatory requirements and risk of large language model (LLM) collapse will help to drive take up of zero trust approaches to data governance in the next two ...

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 ...

AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

Change management is an established discipline employed in many transportation agencies to facilitate introduction of new technologies, systems, or business processes. Data governance, by its very ...

Unverified and low-quality data generated by artificial intelligence (AI) models – often known as AI slop – is forcing more security leaders to look to zero-trust models for data governance, with 50% ...

How Governance-by-Design Frameworks Are Reshaping Responsible AI in Enterprise Systems As artificial intelligence continues to expand across enterprise environments, the governance of data and AI ...

Something is not working in enterprise AI governance. The frameworks exist. The policy documents are written. The ethics ...

Editor's take: There is little doubt that many people in the tech industry are excited about the potential that Generative AI offers to our work and personal lives. As enthralling as those ...