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The Growing Importance of AI Governance

New technologies often engender fear and foreboding among people outside tech industries. The latest example of this trend is artificial intelligence (AI), which is a topic of much concern and misunderstanding among the public. It’s easy to dismiss these qualms as the common human tendency to mistrust the unknown. However, much of the alarm about AI […]

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. […]

Predictive Analytics Techniques

The process of predictive analytics has three main steps: defining the objectives, collecting relevant data, and developing a predictive model using sophisticated algorithms. These models are further tuned for greater accuracy before being applied to real-world situations like risk analysis or fraud detection.  Predictive analytics techniques are at the forefront of modern data science, enabling organizations to […]

Innovating with Data Mesh and Data Governance

Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for good Data Quality, data fit for consumption, simplifying and speeding up data access. Using a data mesh, which is a decentralized data architecture (collecting, integrating, and analyzing […]

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 […]