Are we running out of data the same way we are running out of oil? Media reports suggest we are exhausting our supply of data to train AI. It turns out those stories have a lot in common with past predictions that we would run out of oil.

Are we asking the right questions or tracking the most important metrics when discussing AI? Does it make sense to use non-deterministic models where accuracy is critically important?

While discussing AI and its energy intensity, people should remember that Al consumes much more and nobody talks about it.

Hive is a startup that just announced a €12M Series A to transform cloud data storage with a secure and sustainable distributed cloud. I examine whether their strategy is sound enough to survive or even go up against the likes of Dropbox.

The DOJ and some of America's top names in tech are trying to take Apple down a peg with lawsuits. I’d argue that there are better ways to keep competition alive and healthy.

Will the EU's new Artificial Intelligence Act boost safety, innovation and even keep AI compliant with human rights? In this issue of Recurrent Patterns, I look at whether this can possibly work, when they can't even define what AI actually is.

What can quantum computers do for us? Google Quantum AI has launched an XPRIZE competition to find out. What are the real opportunities that lies ahead for those working in this new field.

Apple has hit the brakes on their Electric Vehicle project, after investing billions. Let’s look at how with CarPlay, Apple will dominate the auto industry.

Apple's announcement that it is launching PQ3 for iMessage isn't some random new feature. It enhances Apple's overall brand strategy while giving its competition a quantum headache.

We see the challenges in the media industry due to layoffs, declining traffic from social media and losing interest and trust. Is AI the savior or the last nail in the coffin? That depends on the strategy.