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The Case for Structured Data in the Age of AI

By Dick Weisinger

As artificial intelligence (AI) continues to unlock value from unstructured data, experts are increasingly advocating for structured data approaches. While unstructured data—like documents, images, and social media feeds—holds immense potential, the complexities involved in processing it often make structured data

Integrating Structured and Unstructured Data in Business

By Dick Weisinger

In businesses, data serves as a critical guide for decision-making and strategic planning. It is divided into two different categories: structured and unstructured. Grasping the distinction and interaction between these data types is essential for organizations. Structured data is orderly

AI Augmentation in Databases: A New Generation of Data Management

By Dick Weisinger

The integration of Artificial Intelligence (AI) into databases is not just a futuristic concept; it’s beginning to be a reality that’s reshaping the landscape of data management. Companies are actively exploring and implementing AI capabilities to enhance databases, aiming to

The Evolving Landscape: SQL and NoSQL in 2024

By Dick Weisinger

The rivalry between SQL and NoSQL databases has been a topic of interest in the tech industry for years. As we move into 2024, this rivalry is taking an interesting turn. SQL, the decades-old method for accessing relational databases, was

How Generative AI is Transforming Data

By Dick Weisinger

Not all data is created equal. There are two main types of data: structured and unstructured. Structured data is organized and searchable, such as dates, phone numbers, and product SKUs. Unstructured data is everything else, such as photos, videos, podcasts,