A practical guide to Data Centric Machine Learning

What is Data Centric Machine Learning? And how can it be utilised in practice? The Data Centric approach to ML introduces an additional data improvement loop into the standard model development lifecycle. Instead of treating data as a static resource…

How Much Data Is Enough Data?

Navigating the data maze: Decoding the optimal data size for Machine Learning and AI   Introduction In today’s digital era, data is the lifeblood of innovation and decision-making. From customer profiles to shifting market dynamics, data enables organizations to anticipate…

2D and 3D Data Annotation

Learn the fundamentals of 2D and 3D data annotation with this in-depth guide. We cover techniques, tools, and applications that power real-world AI systems across industries.     An Introduction to 2D and 3D Data Annotation What is data annotation?…