Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

In a non-deterministic, AI-driven architecture, if your security strategy is trying to “catch up,” you’ve already lost.

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Explore facts behind the Signature Inc. scam search, including verified details on the company’s business model, employee experience, and reviews. MOORESTOWN, NJ, UNITED STATES, January 6, 2026 ...

Rai shares his insights on how the AI business is changing, and how the focus is now shifting from developing more and more sophisticated foundational models to smaller, more cost efficient models ...

Enterprise software giant SAP SE today debuted the Business Data Cloud, a new data solution that unifies all SAP data and third-party data throughout an organization to provide a foundation for ...

ChatGPT and similar large language models learn from the data you put in — and there are big risks in sharing sensitive business information with AI chatbots. The furor surrounding ChatGPT remains at ...

Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.

Operationalizing data allows enterprises to optimize decision-making, deliver growth, and improve customer experiences, according to Mark Birkhead, firmwide chief data officer at JPMorgan Chase. In ...

DatacenterDynamics is the world's largest data center publication. We publish news, magazine features, and podcasts about the ...

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 ...

Spar’s business model depends on independent retailers choosing to buy through its distribution centres. According to the ...