We are in the crawling stage when it comes to applying machine learning.”- - Dave WatersTechnologies and their interdependencies are paving the way to a future that is smarter and intelligent to fulfill the demand for resources.
Cloud providers like AWS, Google and Microsoft offer Cloud with ML capabilities that require scads of processing power.
Undermentioned are a few applications of Machine Learning Algorithms using the Cloud Cognitive Cloud - There are millions of people using cloud and they produce massive amounts of data frequently.
The pre-existing unstructured datasets act as a source of information for the machines to learn from and adversely the cloud provides applications with sensory capabilities that are used to perform cognitive functions and make prospective decisions.
Chatbots providing solutions through chat has brought them into focus in the customer service industry eliminating human interaction, hence reducing any errors.
IoT Cloud - Gartner predicts that by 2022, more than 80 percent of enterprise IoT projects will include an AI component, up from only 10 percent today.