Machine Learning-as-a-Service: Market Overview, Technology, Prospects

As businesses move towards low friction, data-driven digital models, these outcomes are guided by the need to support high quality, engaging and sustainable customer experiences. The deployment of artificial intelligence and machine learning (AI/ML) via Machine Learning-as-a-Service (MLaaS) - is an important enabler.

MLaaS has a role to play in breaking economic, political, legal and societal boundaries, as well as enabling buyers and suppliers to break operational and business model boundaries. The ability to lower the barriers to entry, encourage more participants and generate more use cases and business value - creating a virtuous circle of adoption and project expansion that reveals the benefits AI/ML adoption can bring - makes MLaaS an AI/ML market accelerator.

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