We tend to share and like stories that confirm our existing beliefs. These stories then appear on the timelines of our often like-minded friends.
There are several examples in Africa today where a bad situation could be made much better by appropriate technology.
Mark Zuckerberg provided some concise answers to US lawmakers but didn’t help demystify how Facebook tracks users across devices and offline.
Only 9 percent of companies in a recent Gartner survey reported that data and analytics are central to their business strategy.
Machine Learning and AI have a hype problem. C-Suite executives read about this magical new technology and send frantic missives down the line.
Artificial intelligence (AI) and data science initiatives within healthcare are on the rise.
There are as many ways to write a computer program as there are to make a cup of tea.
The threat of job losses as a result of machine learning and artificial intelligence is being discussed around water coolers around the world.
Artificial neural networks are perhaps the AI technique that receives the most press and is guiding - and also misinforming - the debate about AI.