Recently, discussions surrounding the practical implementation of AI projects have sparked widespread attention. This article focuses on the real-world challenges of AI applications in enterprises and ...

Technical Background and Innovation The emergence of the 'Lingji Smart City' large model relies on nearly a century of accumulated engineering drawing data from the Chongqing Design Institute, ...

Artificially generated data can help to train AI models when real data are scant, but more focus is needed on validating the ...

Strong data management practises include enforcing data quality standards, securing data access, tracking lineage, and enabling ongoing validation. These steps help organisations avoid the downstream ...

F5 (NASDAQ: FFIV), the global leader in delivering and securing every app and API, today announced its intent to acquire a ...

RavenDB, a multi-model NoSQL document database trusted by developers and enterprises worldwide, is introducing its AI Agent Creator, a first-to-market feature fully integrated into the database that ...

The rapid adoption of artificial intelligence (AI) agents across industries has brought significant benefits but also increased exposure to cyber threats, particularly adversarial attacks. According ...

Familiar patterns—and familiar lessons—are emerging as enterprises get serious about agentic AI and Model Context Protocol ...

EmbeddingGemma by Google DeepMind, the privacy-first AI model revolutionizing on-device text embeddings with multilingual ...

Just as the internet required secure protocols, enterprise AI is driving new requirements for purpose-built governance ...

Post 1AI applications are being deployed faster than most security teams can keep up. The risk? Vulnerabilities like prompt injection, over-permissioned agents, and poisoned training data are already ...

Besides building analytical solutions for a large-scale organization, Sree Hari Subhash, an international IT expert, has ...