Artificial intelligence (AI) is transforming businesses and industries worldwide with new data products and services. A recent Stanford University AI Index Report found that about 78% of companies were using AI in at least one business unit or function in 2024, up from 55% the previous year. To get the best results, organizations need to connect AI and its […]
What Is a Large Language Model (LLM)?
A large language model (LLM) is an advanced artificial intelligence system that understands, processes, and generates human-like content. LLMs train on vast amounts of big data, allowing them to recognize complex patterns and structures to produce coherent, contextually relevant responses to a wide array of prompts. At their core, LLMs utilize cutting-edge natural language processing (NLP), which is made possible through deep learning techniques. Consequently, LLMs […]
Getting Started with Data Quality
Imagine burning three trillion U.S. dollars. Businesses do this virtually every year because of poor data quality (DQ). In a data-driven age, organizations cannot afford to waste this time and money. Instead, they need to focus on achieving good data quality through a comprehensive program dedicated to business needs. But how does a company implement an effective […]
Building a Data Governance Strategy
Organizations increasingly recognize that an effective data governance strategy determines their ability to innovate and compete. Yet according to DATAVERSITY®’s 2024 Trends in Data Management report, 65% of organizations still rate their data governance programs as being in the initial stages of maturity despite identifying it as a top priority. This maturity gap stems from a common […]
Should You Get Certified as a Data Professional?
In today’s data-driven workplace, data professionals face a constant challenge: validating their expertise while maintaining day-to-day responsibilities. One solution increasingly lies in attaining professional certification, a formalized training framework that provides practical experience. Some industry professionals may believe that learning on the job and a track record of successful projects provide equivalent evidence of expertise […]
Data Modeling Concepts for Beginners
Christopher Bradley, information strategist at DMA Advisors, says the “main purpose of a data model is actually not to design a database – it’s to describe a business.” However, many professionals lack a solid grasp of the data modeling concepts needed to effectively represent their business operations. This knowledge gap comes at a steep cost. A recent […]
Data Management Trends in 2025: A Foundation for Efficiency
In 2025, organizations face a pivotal moment in data management evolution. While core principles endure, their implementation is undergoing a radical transformation. Data management – the comprehensive collection of practices governing data – must now balance unprecedented opportunity with mounting risk. The potential impact is massive. The data and analytics market could reach $17.7 trillion, with an additional $2.6 to […]
Data Modeling Trends in 2025: Simplifying Complex Business Problems
Data modeling, the practice of diagramming business requirements, has grown significantly. According to a 2024 DATAVERSITY® survey on data management trends, 64% of organizations actively use data modeling, a 13% increase since 2023. This trend will only increase in 2025 as companies face heightened opportunities and risks. Newer technologies and AI are set to disrupt predictive analytics, especially with huge volumes of […]
Data Strategy Trends in 2025: From Silos to Unified Enterprise Value
Data strategy trends for 2025 reflect a growing paradox: While organizations race to adopt generative AI and automation, their disconnected data initiatives are creating new silos rather than breaking them down. DATAVERSITY’s® 2024 Trends in Data Management survey highlights this growing challenge, with 68% of respondents citing data silos as their top concern – up 7% from […]
The Impact of Advanced Data Lineage on Governance
In today’s data-driven business landscape, data quality – the availability of usable and business-ready information – remains a significant and worsening challenge for many organizations. To mitigate these effects, businesses need swift resolution of data issues with transparent and trustworthy information. However, in our fast-paced digital environment, complex data architectures with more system variables make it difficult to understand the problems. […]