What Data Leaders Must Fix Before AI Can Scale In 2026

In 2026, data leaders must focus on enhancing data foundations rather than feature expansion. That means prioritizing data ...
TechRepublic

The different data model types and their uses

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...
TechRepublic

Data Modeling vs. Data Analysis: An In-Depth Comparison

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
Forbes

Five Reasons Why Simple Models Are A Data Scientist’s Best Friend

Tech-enabled SaaS growth companies are among the most progressive companies when it comes to making use of data science. In a global survey conducted by McKinsey Analytics in 2020, only 16% of ...
Regtechtimes on MSN

Data residency as the operating layer for global AI adoption

In regulated healthcare, the hardest part of scaling AI is often not the model, it is the data boundary. The data privacy management software market is projected to grow from $5.37 billion in 2025 to ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...
TechCrunch

Making AI models ‘forget’ undesirable data hurts their performance

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...