In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

As organizations embrace AI technologies, they face growing challenges related to fairness, privacy, and unpredictable system behavior. At Data Summit 2026, Nicole Janeway Bills, CEO and founder, Data ...

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 ...

As a chief data officer, healthcare CEO, or other executive in the industry, you know how vital data governance is across all departments and within your organization’s supply chains. The well-being ...

Gowtham Chilakapati is a Director at Humana. He is an expert in enterprise data and AI systems with a focus on real-time analytics. With over a decade of experience leading large-scale data ...

The AI wave has come on faster than most (including me) expected. Over the last decade, companies have slowly but surely started deploying AI. Return on Investment (ROI) was beginning to turn positive ...

BETHESDA , MD, UNITED STATES, March 25, 2026 /EINPresswire.com/ — — Fasoo, the leader in data-centric security and AI-ready data management, is participating in ...

To ensure your migration drives actual business value, here are four best practices for integrating data governance into your migration process.

In today's competitive landscape, your brand isn't just battling others in your industry for the best product. It's also competing with every single one of your customers' previous best experiences.

The amount of data created annually is expected to more than double between 2022 and 2026, according to IDC. The vast majority of that data will be unstructured, and will jump to more than 221,000 ...

For many organisations, the promise of artificial intelligence (AI) is being undermined by a fundamental problem: their data isn’t ready for it. This can lead to conflicting metrics and inconsistent ...