In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...

Learn what customer segmentation is, why you need it and the different types and strategies you can adopt to effectively reach customers and increase revenue.

The world’s second-largest beer maker was looking for ways to “future proof” its data strategy around identity, privacy and consent, and use data across its brands — Heineken USA also owns Dos Equis ...

HIPAA Professional doctor use computer and medical equipment all around, desktop top view. getty. Healthcare CIOs and CISOs are monitoring the recent Office for Civil Rights (OCR) at the U.S ...

Key Takeaways Understanding core concepts like supervised learning, overfitting, and evaluation metrics is vital for data ...

Micro-segmentation, an evolution of network security, lets organizations add granular segmentation policies to their data center transformation strategy. Topics Spotlight: New Thinking about Cloud ...

With the ongoing developments and uncertainty on data privacy and app tracking, customer segmentation will still be key for brands to efficiently target their customers across campaigns.

More information: Qingyuan He et al, Exploring Unlabeled Data in Multiple Aspects for Semi-Supervised MRI Segmentation, Health Data Science (2024). DOI: 10.34133/hds.0166.

While deep learning-based segmentation methods have demonstrated state-of-the-art performance, they often rely on vast amounts of labeled data, which is expensive and time-consuming to obtain.