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 […]
Mind the Gap: AI-Driven Data and Analytics Disruption
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. Most advances over the past 30 years have been the result of Moore’s Law: faster processing, denser storage, and greater bandwidth. At the core, though, little has changed. The basic […]
Unlocking Unstructured Data: Fueling AI with Insights
IDC reports that around 90% of the data in the digital world is unstructured. This encompasses data like PDFs, PowerPoints, emails and images, all containing valuable information that traditional structured databases can’t gather. As artificial intelligence (AI) becomes more widespread, the importance of unstructured data grows. Businesses now face the challenge of organizing and utilizing these diverse data sources so AI models can fully leverage their potential, which is much easier said than done. […]
Data Integrity: What It Is and Why It Matters
The term “garbage in, garbage out,” or GIGO, dates back to the earliest days of commercial computing in the mid-20th century. Yet the concept was present more than 100 years earlier at the very dawn of computing. When Charles Babbage first described his difference engine, a member of Parliament asked him whether the machine could generate […]
Protecting Machine Learning Systems in the GenAI Era
As GenAI and machine learning (ML) become more widespread across industries, their high levels of adoption have created a major challenge: security. While every organization and IT team has its own security protocols and frameworks, many are starting to realize that traditional approaches aren’t enough when it comes to protecting themselves from the potential threats […]
Data Governance: Building a Strong Foundation
The first time I was introduced to data governance, someone handed me a thick binder labeled “Data Policies.” It sat on my desk untouched for months. No one referred to it. No one followed it. It was a perfect symbol of what goes wrong when governance is reduced to paperwork without purpose. True data governance […]
A Brief History of Data Stewardship
In the modern digital economy, data is a critical asset that, when properly managed, can drive innovation, insights, and competitive advantage. However, for organizations to leverage data effectively, they must maintain trust in its quality, reliability, and governance/management. Central to this effort is the concept of data stewardship. While it may appear to be a relatively […]
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 […]
My Career in Data Season 3 Episode 7: Jacqueline Paneque, Head of Data Literacy & Data Quality, TE Information Solutions
Welcome back to an all new season or My Career in Data – a DATAVERSITY Talks podcast where we sit down with professionals to discuss how they have built their careers around data. This episode we speak with Jacqueline Paneque, Head of Data Literacy & Data Quality, TE Information Solutions , about how she went […]
Harnessing Data Lineage to Enhance Data Governance Frameworks
At a time when even the smallest organizations have data from multiple sources undergoing various transformations, ensuring data accuracy, security, and compliance has never been more critical. This reality has led to a proliferation of robust data governance frameworks, i.e., the systems, policies, and procedures that manage data as a strategic asset. One vital ingredient […]