Many enterprises are struggling with data silos, regulatory complexities and the rapid evolution of AI and analytics.

Debates about when and where to apply AI systems often boil down to a singular point. Namely, what is the nature of the work in question? It is a simple query, devilishly so, one that data and AI ...

new ICTs for data collection, and the explosion in the availability of big data, together with the emergence of artificial intelligence and the Internet of Things -- is already transforming society.

Data management has been changing rapidly in the era of generative and agentic AI, with even more change from the vendors ...

CAG joins hands with BISAG-N to harness geo-spatial tech, AI, and big data, paving the way for smarter audits, real-time ...

it’s about redefining how data security, compliance and AI governance fit into the broader enterprise strategy. It’s time for business leaders to move beyond fragmented data management and ...

In today’s digital transformation era, organizations increasingly use advanced enterprise resource planning systems to manage ...

Microsoft, IBM, and Cisco are just a few of the big tech firms that are finally taking steps to better regulate AI. The post ...

The governance of a city requires a plethora of complicated systems that in the past have brought with them challenges in planning, coordination and execution. In the age of technology, AI is lending ...