Data Quality Management
The manufacturing sector is undergoing a significant transformation as it embraces cutting-edge technologies and addresses the challenges of data management, sustainability, IT/OT convergence, and security. This article explores the major trends expected to shape the manufacturing landscape by 2025, emphasizing the drive toward smarter production
The integration of Real World Data (RWD) into clinical trials stands poised to revolutionize the landscape of medical research by 2025, offering unexpected advancements in efficiency, accuracy, and overall trial outcomes. As biopharma companies delve into advanced strategies for the incorporation of RWD, we witness the development of new
The rise of generative AI (genAI) technologies is transforming the workplace, increasingly highlighting the crucial role that data teams must play within organizations. The growing use of genAI necessitates an environment where data access is readily available, security measures are robust, data quality is exceptional, and a data-driven culture is
In today's rapidly evolving financial landscape, the need for financial institutions to modernize their data management systems, enhance data quality, and implement robust data governance practices has never been more urgent. This necessity is driven by increasing regulatory demands, shifts in market complexities, and the rapid pace of
In an era where companies are under immense pressure to adopt generative AI to stay competitive in the global market, ensuring responsible AI adoption is crucial. Various governing and regulatory bodies are actively debating and seeking ways to address AI risks without stifling innovation. A key challenge is the uncertainty surrounding AI, which
Best Practices for Managing Hybrid Cloud Data Governance The rapidly increasing adoption of hybrid cloud environments, blending on-premises and cloud-based systems, necessitates new data governance strategies to manage heightened complexities and ensure seamless operations. Effective data governance is essential to maintain consistency, security,