Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...

Cross-border retail continues to grow, with global e-commerce projected to exceed $5.5 trillion by 2027, yet abandonment remains high for a simple reason: Inconsistent landed-cost models break trust ...

Dr Ranjith Gopalan explains how intelligent data validation ensures trust in enterprise systems by automating anomaly ...

By Dr. Liji Thomas, MD By merging voice instability, gait asymmetry, and tremor-driven handwriting changes into a single explainable AI framework, researchers show how digital biomarkers can move ...

Banks are trying to bring generative AI and agentic AI into core operations without breaking controls that are built for low error tolerance. In ...

Responsible AI poses tough test for regulators By Christopher Tredger, Technology Portals editor, ITWebJohannesburg, 12 Mar 2026Donovan Byrne, director for Africa at LexisNexis Risk Solutions.

India's regulatory ecosystem, including regulatory sandboxes, digital lending frameworks and evolving conversations around AI governance, provides guardrails for responsible innovation.

The defining paradox of enterprise AI in 2026 is not insufficient capability, but excess capability deployed into immature organizational systems.Unlike earlier digital technologies, AI systems do not ...

Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...

How Relevant Is the Chief AI Officer in the AI Era? Over the past few years, artificial intelligence has shifted from isolated experimentation to a...Read More The post How Relevant Is the Chief AI ...