Empower your Business with Machine Learning
Organizations today need their software to continuously improve by finding patterns and adjust its actions accordingly. A type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed, machine learning focuses on the development of computer programs that can change when exposed to new data. Organizations today need their software to continuously improve by finding patterns and adjust its actions accordingly.
Machine learning is used to reproduce known patterns and knowledge, automatically apply that to other data, and then automatically apply those results to decision making and actions.
Machine learning systems were too costly and too complex for most enterprises in the past. The cloud is changing all that.
The trend today is machine learning, which is a form of artificial intelligence that uses algorithms to learn from data. These systems build models from incoming transactional data, then find patterns in that data to make predictions. These predictions can be a simple as providing a recommendation to a shopper on an e-commerce website or as complex as determining if a brand of automobile should be retired.
However, today we have the option to place these systems in the cloud. Amazon Web Services, for example, supports machine learning using AWS's algorithms to read native AWS data (such as RDS, Redshift, and S3). Google has supported predictive analysts for some time with its Google Prediction API, and Microsoft provides an Azure machine-learning service.
The ability to predict the future for both tactical and strategic purposes has eluded us because of prohibitive resource requirements. But today, thanks to the cloud for machine learning as a service, you can apply this technology far and wide on all that data enterprises have been collecting.
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