Data Governance
The generative AI market has experienced an unprecedented surge, growing exponentially within a few short years. This growth is underpinned by the integration of AI capabilities across various sectors, driving operational efficiency and fostering innovation. This explosion in demand has caused the market size to expand dramatically, jumping from
As artificial intelligence continues to penetrate various industries, the need for robust data security frameworks has become paramount due to increased volumes of sensitive corporate data and personally identifiable information (PII). The challenge intensifies when securing data transfer between central processing units (CPUs) and graphical
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
In a groundbreaking study, researchers from Stanford University have uncovered significant security vulnerabilities in the caching mechanisms used by large language model (LLM) APIs. These findings have major implications for the AI industry, highlighting the delicate balance between efficiency and security in AI services. This article delves into
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
Vernon Yai is a data protection expert specializing in privacy protection and data governance. An established thought leader in the industry, he focuses on risk management and the development of innovative detection and prevention techniques to safeguard sensitive information. What prompted the significant removal of web pages and data sets