Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

But with that power comes vulnerability, and one of the most pressing—yet often overlooked—threats today is data poisoning.

The certification evaluates companies based on four key parameters: benefits, identity, purpose and value quotient.

This interview covers Infra.Market is digitising India's construction supply chain using AI, IoT, and automation to reduce ...

There’s a simple but powerful idea at the heart of Helsinki’s governance model: the people most affected by public decisions ...

In a decisive step toward digital self-reliance, NxtQuantum Shift Technologies has announced the launch of NxtQuantum OS, ...

Taking a thoughtful, proactive approach to reputation management by building positive PR helps maintain and restore trust ...

Companies on the path toward AI success need transparency, clear communication and continuous skilling efforts.

On a global scale, verification and traceability are among the top criteria that businesses must maintain to ensure ...

MANILA, Philippines - The rise of agentic artificial intelligence (AI)—systems that can perform tasks without human intervention—not only represents a transformative technological advancement ...

Smarter AI agents need smarter data. Knowledge graphs can help by providing a shared data foundation that enables agents to ...

Roughly 70% of Romanians are “very” or “moderately” concerned about how AI accesses and uses their data, according to the ...