Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

One in five insurance entities operating in Bermuda has yet to complete the classification of its data, a basic regulatory requirement under the Bermuda Monetary Authority’s cyber-risk framework, ...

Have you ever spent hours wrestling with messy spreadsheets, only to end up questioning your sanity over rogue spaces or mismatched text entries? If so, you’re not alone. Data cleaning is one of the ...

In today’s digital-first world, data is both an asset and a liability. As organizations scale their use of cloud platforms, AI, and remote collaboration tools, the complexity of managing data security ...

Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the right time. Then, she details the proper unstructured data preparation for AI.

It's not just a mess -- it's a security risk, a compliance hazard, and a missed opportunity. That was the message from data evangelist Karen Lopez during the June 27 session of the "How To Take ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

As artificial intelligence accelerates across industries, unstructured data has emerged as both a critical asset and a growing challenge. Its value hinges entirely on how well it’s managed, governed ...