The Importance of Machine Learning Solubility

The second pillar is the technical feasibility and kind of cover some of the technical landscape of where we are at today as a business. Data availability, making sure that we have the right data to avoid bias but also do we even have the right training data to be able to build up an ML product. The second piece that we often consider as well is ML solubility so can this be a problem that will actually be solved by machine learning? And so typically we try to avoid problems that use extremely cutting edge technology within machine learning that hasn't been tried and tested before.