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 ...

Enterprises are expanding governance strategies from structured to unstructured data as AI adoption accelerates, with experts emphasizing lifecycle oversight, automated classification, and integrated ...

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 ...

The field of data and analytics is rapidly growing and evolving, requiring creativity, skill and a deep understanding of emerging technologies, particularly in data governance. Advanced strategies for ...

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 ...

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.

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 ...