Data Quality Management
The journey of AI from an experimental phase to its current widespread use in enterprises brings an urgent need for robust governance frameworks. As AI continues to integrate into business operations, the risks—both reputational and financial—intensify, making the establishment of effective governance vital. Learning from the governance approaches
In an era where enterprises face unprecedented challenges with data management and AI implementation, the strategic integration of Reltio and Alation marks a significant leap forward. Reltio, renowned for its AI-powered data unification and management, joins forces with Alation, known for its Agentic Platform, to deliver a robust solution aimed at
The rising investment in artificial intelligence (AI) technologies by healthcare organizations aims to revolutionize clinical workflows, decision support, and research and development (R&D). However, the bedrock of these advancements is effective data governance, an often underappreciated component. Merging AI innovations with healthcare requires
In today's fast-paced digital era, businesses increasingly rely on artificial intelligence (AI) systems to stay competitive, innovate, and meet customer demands. However, for these AI systems to be effective and trustworthy, a solid foundation of data governance and automation is essential. The Ataccama Data Trust Report 2025 highlights how a lack
The battle to protect vital climate data began in earnest as the Trump administration took office, sparking widespread concern about the preservation of information crucial for environmental policy-making and scientific analysis. Eric Nost, a geography professor at the University of Guelph, is collaborating with the Environmental Data Governance