Philip Nesci
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Optimising machine learning operation, fast-tracking AI productivity by understanding the ML life cycle and focusing on critical success factors to achieve business return on investment.
In choosing the machine learning service that will fit the organisation’s needs, consider feature requirements, training and experience of users and ease of deployment.