Artificial intelligence (AI) and machine learning (ML) technologies are expanding rapidly as organizations seek to capitalize on the value of their data. Half of the companies surveyed in a 2020 Mckinsey study have already adopted AI in at least one business function. At this stage, a critical decision each organization must make is the choice of an AI/ML platform. This decision can significantly influence the success that companies have in rolling out the technology. AI/ML platforms accelerate the entire lifecycle from model training and preparation to deployment and integration.

Organizations look to AI/ML platforms to take care of the non-differentiated heavy lifting involved with AI applications. This concept is analogous to the migration from on-premise hardware to cloud infrastructure. There is no value in tackling that complexity in-house or managing it yourself in most cases. The focus for each enterprise should be on the machine learning models, insights, and applications within their problem domain, not on the infrastructure. AI/ML platforms enable the efficient development and deployment of AI applications in collaborative team environments using the latest innovations in machine learning.

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