Did you know? We’ve partnered with Ippon Technologies to launch Data Sips, a video miniseries showcasing quick conversations with industry experts that took place during last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The first episode features DATAVERSITY founder and CEO Tony Shaw chatting with host Steve MacLauchlan, head of data […]
Data Management for Medical Device Clinical Trials: A Guide
Clinical trials for medical devices hold a unique significance due to their direct application in patient care and the rigorous scrutiny they undergo from regulatory bodies. Unlike pharmaceutical trials, medical device trials involve complex interactions between hardware, software, and human factors. This complexity is compounded by the high stakes associated with ensuring patient safety, making […]
The Role of Reinforcement Learning in Enhancing LLM Performance
Large language models (LLMs) are the backbone of modern natural language processing. They predict words, craft sentences, and mimic human language at scale. But underneath their polished outputs lies a limitation: They only replicate patterns seen in their given or training data. What happens when we want LLMs to go beyond this – when they […]
Overcoming Regulatory and Compliance Challenges with Logical Data Management
Businesses engage in mergers and acquisitions (M&A) to gain new capabilities, remove competitors, reduce operational costs, and join new markets. In the first half of 2024, the global value of M&A activity was $1.0 trillion, 4% higher than it was during the same period last year. M&A requires meticulous attention to regulatory and compliance issues. Navigating these […]
Book of the Month: Data Models for Banking, Finance, and Insurance
Welcome to the first “Book of the Month” for 2025. This time, we’ll be going over “Data Models for Banking, Finance, and Insurance” by Claire L. Frankel. This book arms the reader with a set of best practices and data models to help implement solutions in the banking, finance, and insurance industries. Right at the beginning […]
Rethinking Public Sector Data Centers for AI-Driven Digital Transformation
Artificial intelligence has become a cornerstone of public sector modernization, putting a higher importance on data centers, the energy they consume, and how to make them operate more efficiently. Generative AI models require immense computational power to operate. For example, an AI workload like a ChatGPT query can take more than 10 times the energy of […]
Strategies for Managing Data Debt in Growing Organizations
As organizations scale, data debt can accumulate silently, affecting productivity, efficiency, and decision-making quality. Data debt refers to the accrued cost of shortcuts and inefficiencies in data management that may have once seemed expedient but ultimately hamper long-term growth. Over time, whether it’s due to process changes, platform switching or growth, organizations find themselves boggled down […]
A Front-End Engineer’s Guide to Designing Interactive Dashboards
Dashboards are the foundation of modern business intelligence. They enable the visualization and transformation of hard-to-understand data into relevant information that various departments can use for better decision-making purposes. For companies that aim to develop a data-centric mindset, dashboards serve as a dynamic system for examining trends, outliers, and key performance metrics on the fly. […]
The Connected Revolution: How Integrated Intelligence Is Reshaping Drug Development
Connected intelligence (CI) and end-to-end quality are two concepts that, when combined, have a transformative impact on the future of drug development and clinical trials, marking a significant change in how pharmaceutical companies manage the process of bringing new products to market. By combining different technologies and methods to build a smooth, data-focused environment that improves quality, efficiency, […]
Agentic Models, Smaller LLMs, and Other AI Trends for 2025
Global AI spending will surpass $749 billion by 2028, IDC predicts. Furthermore, the research firm expects AI investments to outpace new spending for cloud and digital service providers by then. Simultaneously, executives are transitioning from the bright-eyed AI experimentation phase into a new era, in which they increasingly expect to see tangible evidence of AI’s return […]