Today, AI relies on data, and many organizations are treating AI systems like traditional applications. From my experience leading large AI and data modernization projects in regu ...

The explosion in usage of tools like ChatGPT—offering the promise of increased productivity and creativity—is pushing across both personal and professional boundaries. In fact, analyst firm Gartner ...

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 ...

Enterprises no longer need to "lift and shift data" to get the answers they need Traditional eDiscovery and governance ...

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 ...

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 ...

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 ...

A lifecycle-based guide to securing enterprise AI—covering models, data, and agents, with five risk categories and governance guidance for leadership.

VIENNA, VIENNA, AUSTRIA, March 13, 2026 /EINPresswire.com/ — digna announced that a large-scale enterprise data warehouse operated for twelve consecutive months without executing traditional manually ...

Choosing an AI model is no longer about “best model wins.” Instead, the right choice is the one that meets accuracy targets, fits latency and cost budgets, respects compliance boundaries and ...