Machine learning solutions have existed for many years but often powered by very constrained systems. Data is sampled and assumptions are made during the model training process. Data Scientists need to leverage an ecosystem of open source tools that aren’t natively supported on distributed systems. Traditional machine learning implementations are limited mainly to transactional systems. This limits the scope and implementation of machine learning to address business objectives and also produces silo’s of data for each solution.
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