As we begin 2025, artificial intelligence (AI) shows no signs of slowing down. It’s not only providing us with a glimpse into the future – but has become a force in reshaping our present in unimaginable ways. Whether it’s transforming how businesses operate or redefining our daily interactions, AI’s integration across various sectors suggests a […]
Data Sips: Interview with InfoAdvisors’ Karen Lopez
Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The second episode of the series features Karen Lopez, senior project manager and architect at InfoAdvisors, chatting with host Steve MacLauchlan, head […]
It’s Essential – Verifying the Results of Data Transformations (Part 2)
Test cases, data, and validation procedures are crucial for data transformations, requiring an understanding of transformation requirements, scenarios, and specific techniques for accuracy and integrity. Data transformations require complex testing due to their sophisticated logic, computations, and dependency on real-time data streams. This necessitates extensive test case design, representative data, automation tools, and robust validation […]
Key Takeaways from the DGIQ East 2024 + AI Governance Conferences
There’s nothing quite like gathering with data professionals – friends old and new – at a DATAVERSITY conference. Last month’s event was particularly special, combining the well-established Data Governance & Information Quality (DGIQ) East Conference with the inaugural AI Governance Conference (AIGov). Adding to the excitement was the expanded Women in Data Management and Governance (WDMG) program. With so much packed […]
Ask a Data Ethicist: What Is the Appropriate Etiquette When Using AI Tools?
Most of us understand how to behave in different social situations and interact with others in ways that are deemed acceptable. Yet, when we bring AI tools into the mix, we create the capacity for friction because the social norms for using these tools are not yet clear. Which raises this question … What is […]
How Data Will Reshape Industries in 2025
Data has become a driving force behind change and innovation in 2025, fundamentally altering how businesses operate. Across sectors, organizations are using advancements in artificial intelligence (AI), machine learning (ML), and data-sharing technologies to improve decision-making, foster collaboration, and uncover new opportunities. In the upcoming year, the focus is on making data more accessible, protecting […]
Data Sips: Interview with DATAVERSITY’s Tony Shaw
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 […]
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 […]
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 […]