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The road to responsible AI is paved with data efficiency

Discussions surrounding the responsible adoption of AI are increasingly taking centre stage in boardrooms across Africa. A significant number of CEOs are grappling with the ethical complexities inherent in implementing this powerful technology. One pressing issue...

New mandate for the C-suite: lead with data, scale with AI

One of the most pressing decisions facing today’s C-suite is where to invest in technology to drive sustainable value, writes Shaun Vorster, digital transformation officer at Forvis Mazars South Africa. When done right, digital transformation doesn’t just modernise...

Global researchers unite efforts to study AI future

Leading AI researchers from around the world united at an international foresight session in St. Petersburg ahead of SPIEF. The foresight session brought together top AI experts from 17 countries, such as China, India, Vietnam, Indonesia, Nigeria, Ethiopia, South...

Disputes are inevitable. Delays don’t have to be

The money is spent, the project is built, but the turbines stand idle. By Kirsten Wolmarans, partner at Webber Wentzel A several hundred-million-dollar wind farm, ready to supply much-needed power, is left stranded, waiting on grid access delayed by a contractual...

Big data answers ‘what if’ questions

Almost any definition of big data is based on Doug Laney’s original preposition of the three Vs – velocity (the data is growing rapidly), variety (the data comes from many sources – both structured and unstructured) and volume (the data is big), says Gary Allemann, MD of Master Data Management. However, there are challenges with the three Vs definition for big data. Furthermore, many organisations believe that big data is business intelligence (BI).

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