As AI continues to drive innovations in customer experiences, the need for better data management systems has become more evident. One such system, vector databases, is gaining traction as a key enabler of generative AI in industries like travel. These databases are specifically designed to store and process high-dimensional data in the form of vectors, […]
Weather-Proof Your Business: A Data-Driven Guide for Weather-Dependent Industries
As extreme weather events become more frequent and severe, having accurate weather data is no longer just a luxury – it’s essential. In 2023 alone, the U.S. grappled with 28 separate billion-dollar weather and climate disasters – hardly a sign of smooth sailing for businesses operating in weather-sensitive industries. If you’re a data manager working in such […]
An Appetite for AI: Trends and Predictions for 2025
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 […]
How GenAI will Establish a New Inclusive Data Culture in 2025
Generative AI (GenAI) is set to transform how businesses interact with data, fundamentally reshaping decision-making processes. By enabling capabilities such as natural language querying and intelligent data discovery, GenAI will empower non-technical users to access insights effortlessly. Better yet, this question-led approach will simplify data accessibility, democratize insights, and foster a more inclusive data culture. […]
Data Sips: Interview with 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 […]
The Virtualization Era: Opportunities, Challenges, and the Role of Hypervisors
The IT landscape is navigating a period of profound change. Virtualization, a cornerstone of modern computing, is at the heart of this evolution, enabling organizations to innovate, optimize resources, and scale efficiently. Yet, recent market disruptions, such as Broadcom’s acquisition of VMware in 2023, have created a stir in the virtualization industry. As businesses face shifting […]
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 […]
Transforming Conversations to Insights with AI in 2025
As we look forward to 2025, technology – AI in particular – will continue to drive conversations as leaders seek ways to generate impact and build an intelligence-driven ecosystem of insights. Daily human conversations, whether spoken, written or recorded, represent an invaluable source of data insights for businesses. These interactions can highlight customer concerns, preferences, […]
Data Modeling in Machine Learning Pipelines: Best Practices Using SQL and NoSQL Databases
Data, undoubtedly, is one of the most significant components making up a machine learning (ML) workflow, and due to this, data management is one of the most important factors in sustaining ML pipelines. An appropriate data model allows the respective data to be accessible all day long, operate at peak efficiency, and be adjusted to […]