Machine Learning as a Service — Opens Up Unimaginable Perspectives of Future

The persistent zest of all organizations is to increase efficiency while maintaining quality, and machine learning as a service has emerged as a tool that can leverage cloud computing services to aid in data visualizations , application program interface (API), natural language processing (NLP), face recognition , deep learning and predictive analytics . The application of machine learning in all leading-edge technologies has paved way for the development of new automation systems and nodes.

This prominence of Amazon, Microsoft, and IBM can be attributed to their vast geographical presence and the ability to provide for efficient services if not innovate for new products. These players are also financially equipped to collaborate with or acquire small players in order to maintain their stronghold. As a result, the opening for new players is to carve niche technologies and tools and attract a support from the giants and create a brand name overnight. Some of the other notable players active in the MLaaS market are Google , FICO, Sift, BigML, Inc., Yottamine Analytics, Hewlett Packard Enterprise, fuzzy.ai, Datoin, Predictronics Corp., and H2O.ai

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