As the legal and political landscape surrounding data governance continues to evolve, businesses must adopt agile strategies.

This column will expand on a Systems Thinking approach to Data Governance and focus on process control. The vendors of myriad ...

With cyberattacks increasing in frequency and sophistication, enterprise leaders recognize the need for mature cybersecurity to succeed in business continuity. One way they can achieve this is through ...

Data governance is the process of managing the quality, security, and accessibility of data in an organization. It involves defining the roles, responsibilities, policies, and standards for data ...

GenAI has come to the enterprise data team, and expectations are sky-high. A new survey of data and analytics executives by Wakefield Research on behalf of data copilot company Prophecy finds data ...

These efforts really need to operate at an enterprise level, supported by technologies that govern data, analytics, and ML/AI assets comprehensively ... This program must have strong executive ...

The modern business landscape is defined by data. The challenge lies in transforming this raw data into actionable insights ...

Learn what happens when AI-driven workloads push enterprise data storage to its limits. Traditional storage systems don’t fit. What are the new solutions?

Data management innovation has reached the highest levels in this digital age with the merging of scalability, governance, and efficiency by frameworks. Frameworks on modernization methodologies open ...

Automation, and in particular artificial intelligence (AI), appears to hold the key to unlocking the full potential of data.

Strengthening data governance and processes is especially critical as businesses look to add AI agents to their tech stacks this year. CIOs know their business can’t reach AI ambitions without a solid ...