Before deploying AI models to solve business problems, it’s vital to take a step back and assess the quality of available data.

One of the biggest threats AI poses to businesses is that too many believe it to be truthful information, when there is no validation for its accuracy.

Traditional contact universities need to adapt faster and find creative ways of exploring and exploiting AI, or lose their dominant position.

Brief body goes hereWhatever the change, the engaged executive should lead from the front, get broad buy-in from the workforce and build momentum step by step.

Embracing the ethos behind the symbiotic bond between software-defined networking and network virtualisation provides a competitive advantage.

To make the most of data technology, start with a strong enterprise-wide data governance and management framework.

The transformative power of technology prompts hierarchies to undergo a profound dissolution, leading to an inclusive and agile culture.

The artificial intelligence debate continues to rage, but what exactly has it got to do with you? Already quite a bit, actually.

How empathy, vulnerability and an honest appraisal can positively influence big decisions in business, in life and professionally.

As a concept, data curiosity must incorporate the aspects which inform data literacy – the where, how and why of the data’s creation.

Local ICT leaders and experts should be playing a greater role in addressing environmentally-sustainable IT goals.

Creating a data-driven culture in an organisation is a journey that requires dedication, investment and a shift in mindset.