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

Artificial intelligence (AI) has rapidly transitioned from a niche analytical tool to a core component of modern investment management. Asset ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

Autonomy is not about removing humans from the loop. It is about designing the loop on how humans and AI systems trust, ...

Esri Canada, a leader in geographic information system (GIS) solutions, today announced it has prequalified as a supplier of ...

Over the past decade, the intersection of artificial intelligence and public policy research has been dramatically influenced by the evolution of large ...

The past 18 months have delivered a one-two punch for security teams. First came the explosive growth of generative AI projects that pump out sensitive data faster than legacy controls can tag it.

Executive Summary This report summarizes an in-depth explanation of the new EU regulation Cyber Resilience Act (CRA), which is intended to enhance the ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

CIOs addressed risk mitigation gaps and strengthened guardrails to fast-track AI projects without sacrificing on security.