8. Data Science Everywhere
One of the major hurdles preventing the adoption of machine learning is the scarcity of data and the lack of data scientists. The creation of a neural network demands clean, accurate, and plentiful data, which means that the democratization of machine learning can only happen when useful data are freely available in large quantities. However, ST Partners like Cartesiam are approaching this problem from a different angle by replacing the data scientist with a system capable of performing training and inference operations on the same embedded system.