Data Quality Management
In recent years, a study conducted by Actian has unveiled a stark gap between organizations' perceived and actual data governance maturity, which threatens the successful trajectory of their AI investments. The report, titled "Actian State of Data Governance Maturity 2025," surveyed over 600 data professionals from large enterprises, exposing a
Recent advancements have seen artificial intelligence transition from mere automation tools to intelligent intermediaries capable of autonomous decision-making. This evolution marks the rise of agentic AI, distinguished from its generative counterparts by its self-governing capabilities. As government bodies look to harness the remarkable
In an era where digital technologies underpin almost every facet of life, nations worldwide grapple with strengthening their cybersecurity frameworks to ensure safety, efficiency, and resilience against threats. As cyber incidents become increasingly sophisticated, achieving cyber resilience has emerged as a top priority, with the aim of
In a world increasingly dominated by artificial intelligence, is human potential at risk of obsolescence, or poised to reach unprecedented heights? Currently, AI technologies play a significant role in both our personal and professional lives. For instance, many now rely on virtual assistants to help guide daily decisions, often without a second
Organizations today face unprecedented volumes and complexities of data, making effective governance crucial. As data is central to strategy and operations, leadership in governance is indispensable. Robust data governance inspires trust in data systems and fuels innovation. This guide explores how businesses can enhance their data governance
In the age of data-driven insights and decision-making, the quality of data has become a pivotal factor influencing organizational success. Despite technological advancements, the misconception persists that data can autonomously achieve high quality through technological interventions alone. However, genuine data quality involves more than