We often hear that data quality is an essential success factor for AI and a long list of other digital technologies. But what does that mean? I'm pretty sure that you are not alone in asking yourself this question, but not wanting to ask it out loud in fear of coming across as the most stupid person in the room. Don't worry, you are not. Actually, the question of data quality should be on the board's table more often.

I'm not surprised by the launch of Deepseek. I'm surprised by all the intelligent people out there who are surprised about the launch of Deepseek. Many an investor has called Deep Seek a Black Swan over the last few weeks.

The transformer technology is well-known. It's open. Altman's empire was built on a perceived oligopoly, where OpenAI as perceived market leader held the throne. Strategically, it was only a matter of time until some company somewhere launched an approach to LLM which is much more efficient than OpenAI's tech stack.

A key element in responsible and value-creating adoption of AI is competence. In fact, Chapter 1 Article 4 of the EU AI Act makes it mandatory to provide training to achieve relevant AI literacy. This article comes into force February 2nd 2025.

Predictions for developments within artificial intelligence in 2024

Basic understanding of AI should be compulsory for any C-level or board director.

To reduce bias in machines, we need to become better versions of humans. The future is not human less, it is human more.