Data Pattern on Edge walks through how Edge can integrate and coexist with your existing ecosystem. Industry-tested scalable data patterns allow various complex use cases to be onboarded to Edge.

The structured data landscape has undergone significant transformation in 2024, driven by the rise of AI-powered search, the growing importance of machine-readable content, and the need to ground ...

Alkymi, a provider of business intelligence software for enterprises, today announced the launch of Alkymi Patterns, a tool designed to identify and extract data for automating backend processes ...

Organizations today rely heavily on data to inform their decision-making processes at every level. However, the increasing complexity of data ecosystems poses a challenge: The data we rely on may not ...

Cybersecurity is another area where data science is used to flag unusual activity that might be threats. For example, a machine learning algorithms analyze network traffic for suspicious patterns or ...

Technical Deep Dive AI data deceit is when models create outputs that are misleading or just plain wrong, often as a result of biases in the training data or artifacts in data processing.

But often, it isn’t enough. To detect credit-card fraud, for example, researchers train AI models to look for specific patterns of known suspicious behavior, gleaned from troves of data.