From data foundations to skills and culture, most organizations aren’t operationally ready to succeed with AI. Here’s where ...

Learn how data governance and quality checks in data pipelines can ensure reliable AI systems and prevent costly errors.

Air Canada's chatbot hallucinated a bereavement policy that resulted in financial liability through a tribunal ruling. Meanwhile, NACD survey reports that while 62% of organization boards now hold ...

EY's Alexy Thomas says connected, trustworthy data—not AI models alone—will determine India's long-term AI innovation and ...

Fast-tracking AI: Linking data, governance, easy accessArtificial intelligence agents can both read data and write actions, meaning security and governance are critically important. By Louis De ...

Opinions expressed by Digital Journal contributors are their own. Anil Lokesh Gadi, a distinguished expert in the fields of advanced data engineering, data analytics, and data warehousing, has ...

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

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 ...

Shinji Kim is the CEO & Founder of Select Star, a fully-automated data discovery platform that helps find, understand and use your data. Today’s data governance challenges aren’t just about how ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

Data governance is an umbrella term encompassing several different disciplines and practices, and the priorities often depend on who is driving the effort. Chief data officers, privacy officers, ...