The convergence of artificial intelligence and full-stack development has created unprecedented opportunities for transformative enterprise solutions. Modern organizations increasingly seek leaders ...

Enterprises are grappling with escalating software spending as vendors add generative and agentic AI features to their products and adoption efforts advance. The technology is driving up costs across ...

Two wholesale clothing suppliers filed trademark infringement and trade secrets misappropriation claims against a North Carolina-based software company this week and alleged the company's data ...

Abstract: This paper illustrates the architecture and implementation of a state-of-the-art, Cloud Native Model Monitoring System built to ensure model integrity, validity, and operational resilience ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now I was in more meetings than usual today so ...

The AI industry stands at an inflection point. While the previous era pursued larger models—GPT-3's 175 billion parameters to PaLM's 540 billion—focus has shifted toward efficiency and economic ...

Data security is an imperative, not an option, in banking. The industry functions in a strict regulatory environment, processing billions of daily transactions teeming with sensitive personal ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data platform vendor Informatica is ...

Learn how to create clean and professional axonometric architecture diagrams with this quick and easy tutorial. Perfect for beginners who want to elevate their presentations and visual storytelling.

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.