Data as a Driver for AI (Dutch spoken)

We come from a world of algorithms and the focus of AI is still largely on optimizing models. In this contribution by Jan Veldsink, we are going to focus on data centricity, putting the data in the centre and turning it into multiple analyses/reports and applications.

Datacentric AI is a form of artificial intelligence that focuses on working with and using data to solve problems. This type of AI typically involves using machine learning algorithms and other techniques to analyze large amounts of data and extract actionable insights from it.

Some key points of datacentric AI are:

1. Datacentric AI focuses on working with and using data to solve problems.
2. This type of AI usually includes the use of machine learning algorithms and other techniques.
3. Datacentric AI can be used to analyze large amounts of data and extract actionable insights from it.
4. This type of AI is often used in a wide range of applications, such as image and speech recognition, natural language processing and predictive analytics.
5. Datacentric AI is an important tool for businesses, organizations and individuals who need to understand large amounts of data to make better decisions and improve their operations.