Talk to your data and it will talk back to you. Welcome to the brave new world of generative artificial intelligence.

An effective solution must enable a clear understanding of the security posture, where to invest, and how to improve and mitigate.

How can a fintech firm remain relevant for 20 years in a rapidly-changing landscape? An entrepreneurial mindset is a must.

Achieving data health and trust in data is ongoing and iterative, ensuring it provides a single, aligned view of the facts.

With many organisations aspiring to build their own large language models, retrieval-augmented generation can build context and trust into GenAI.

Before taking the leap into cloud, executive teams need to have a firm understanding of how the business is positioned in the market.

AI is not the existential threat South African companies might fear it to be, but the country must act now to avoid potential hazards.

A paradigm shift introduces product thinking to data, resulting in domain-specific data products that evolve with changing business needs.

The paradigm shift is enabling finance teams to better collect, process and analyse data, resulting in faster, meaningful insights.

It is anticipated that Generation Z’s proficiency with artificial intelligence will disrupt the way work is performed in every industry.

Strict identity verification and continuous authorisation are required for all users and devices at all times, broadening the security perimeter and boosting trust.

If feeling overwhelmed at the scope of the Zero Trust architecture, get the basics out of the way first. Here’s how.