It’s crucial that CISOs and their teams ensure employees are aware of vulnerabilities, and build a system resilient to breaches.

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...

In this webinar, we’ll explore how the Truveta Language Model (TLM)—a multi-modal AI model trained on EHR data—unlocks ...

Query’s approach is refreshingly different, they understand that smaller, purpose-built agents using normalized data deliver the precision and context that security operations teams actually ...

Normalizing and Encoding Source Data for an Autoencoder In practice, preparing the source data for an autoencoder is the most time-consuming part of the dimensionality reduction process.

Alloy.ai ingests point-of-sale data from 100s of retailers, ecommerce partners, distributors, and a brand’s own ERP, then lets them integrate normalized, real-time data into data warehouses ...

Learn how one higher education institution is modernizing and strengthening its endowment and fundraising strategy by ...

Normalization clusters data items together based on functional dependencies within the data items. This normalized arrangement expresses the semantics of the business items being presented.

Normalizing and Encoding Mixed Data for k-Means Clustering Because k-means clustering computes Euclidean distance between data items, all data values must be numeric and normalized so that the values ...