Steadily more companies are leveraging machine learning technologies for data analytics. A momentum which is escalating at the rapid pace; with major cloud-infrastructure providers, like Amazon, Google, IBM, and Microsoft, heavily investing in the technologies. ABI Research estimates machine learning-based data analytics tools and services revenues to hit nearly $20 billion in 2021.
For those who are unfamiliar, the emergence of the
Machine-Learning-as-a-Service (MLaaS) model is cutting down the complexity and time required to implement machine
learning. It also opens the doors to an increase in its adoption level,
especially in the small-to-medium business sector.
Providers provide capabilities
in a cloud-based delivery model, and offer APIs that developers can use to
quickly and easily embed machine learning capabilities into their applications.
It is also indispensable to recall that, Machine learning is the method of choice for
developing software for disciplines like natural language processing, speech
recognition, computer vision, and robot control.
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