Creating a successful Data Quality program is essential for any organization seeking to use their data for improving efficiency and better decision-making. Data of...
Medical research is dynamic and vast, so institutions have been apprehensive about experimenting with too many Data Management solutions. After all, the risk of...
Most enterprises suffer from spotty deployment and management of artificial intelligence (AI) initiatives. As different parts of the organization experiment with AI in silos,...
In the ever-evolving landscape of the modern business world, generative artificial intelligence (GenAI) is taking the industry by storm. Companies increasingly recognize the transformative...
The transformational promise of artificial intelligence (AI) and machine learning (ML) for enterprises has fueled enormous excitement and massive investment by data executives. One...
Businesses face lightning-fast and massive data growth “at a time when analytical capabilities cannot even come close to meeting them,” said Dr. Peter Aiken...
Since its introduction to the marketplace in 2000, the consistency, availability, and partition theorem, or CAP theorem, has been a guiding principle in database...
Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master...
In an age defined by data-driven decision-making, where 91.9% of organizations have already leveraged analytics to enhance their operations, a question remains: What if there were even...
In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at...
