This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

As AI is embedded inside systems, teams must design APIs with governance, observability and scalability in mind.

Organizations need to define SIF clearly within their own context to ensure consistent classification and effective risk ...

The core utility of AI lies in its ability to process massive volumes of data and synthesize patterns. In ESG, models can aggregate vast, ambiguous, and often qualitative information into a single, ...

Explore how agentic AI transforms cybersecurity by enhancing automation, improving decision-making, and enabling real-time ...

Agentic AI challenges the foundational tenets of our legal frameworks, which have historically relied on clear lines of ...

Raise your hand if you’ve fallen victim to a vendor-led conversation around their latest AI-driven platform over the past calendar year. Keep it up if the pitch leaned on “next-gen,” “market-shaping,” ...

Surendra Konathala framework contributes to that shift by articulating how intelligent content systems can operate responsibly under real-world constraints. It demonstrates how engineering decisions ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Artificial intelligence is no longer a niche tool. It sits inside core workflows, decision systems, and customer experiences. For boards in South Africa and beyond, that raises a key question: who on ...