From Model-Centric to Data-Centric – ML’s Evolution

By now, you might be thinking: if data-centricity is essential to the further evolution of AI and ML, how come model-centricity is the dominant approach?

This is a very relevant question to ask, and one we will answer in this chapter. To understand what it takes to shift to a data-centric approach, we must understand the forces that have led to model-centricity being the predominant approach, and how to overcome them.

We will start this chapter by exploring why the evolution of AI and ML has predominately followed a model-centric approach, before diving into the huge opportunity that can be unlocked through data-centricity.

Throughout this chapter, we will challenge the notion that ML requires big datasets and that more data is always better. There is a long tail of small data ML use cases that open up when we shift our mindset from bigger data to better data.

By the end of this chapter, you will have a clear...