Machine Learning : Data Center Management to Big Data

Machine Learning is Increasing Being Used From Data Center Management, Handling Big Data, Launching Cloud Server Instances to Server Monitoring. Possibly everyone who has a website is well aware about Google’s usage of Machine Learning for management of data centers to the management of the web crawlers.

Machine Learning : Previously Discussed Articles

We have talked about Machine Learning through various articles. Here are some of the selected articles from our previous publications, these might help in your understanding :

1. Basics on Machine Learning
2. Amazon Cloud and Machine Learning
3. Usage of Machine Learning for Server Monitoring by Rackspace
4. Machine Learning and Data Center Automation
5. Driverless Car
6. Finite-State Machine

Machine Learning : Data Center Management to Big Data

Amazon recently launched Amazon Machine Learning, a service that opens up the machine learning technology to all developers using the tools provided by the giant cloud. A very important event that underlines how the machine learning represents the next frontier of big data. Amazon is certainly a big player in the field of management and data analysis, offering products with high standards to its customers.

The fact that a great player like Amazon wants to engage in the technology of machine learning, shows the importance of the latter in the area of big data. But the US company is not the only one to think that machine learning is the key breakthrough in the field of data management. The announcement of Amazon Machine Learning follows that Watson Analitycs by IBM and Microsoft’s Azure Machine Learning.

Amazon Machine Learning is a service that allows all organizations and businesses to use their own data, collected over time, and make predictions on a large scale. The need to launch such an instrument born within the profound changes that have suffered in recent years the big date. Companies tend to collect more information and expect to exploit them to deduce strategic insights to their business. The problem is right here. At present you really lose a lot of time to abstract data and deduce information. So here it comes in the technology of machine learning.

Machine learning marks a step change in how the big data is managed and analyzed. With this tool you can, in fact, perform predictive and descriptive analysis by simply looking at the past and creating hypotheses for the future. With machine learning businesses tend to learn more and get the most value from their data, that are no longer huge amount of files and documents to be retained, but are real valuable information for the development of the business.

We must not forget, however, that valuable information comes not only from big data historians, but also by the real-time data. Tools machine learning should also be used in this context. An example is Triggar, big data tool that enables the execution of decisions in real time applied in the field of Internet sites. An example is a portal of e-commerce, many administrators would assess user behavior and work strategies to induce them to buy, or evaluate the behavior just to get a greater number of visitors on its portal. With this tool analysis are carried out in real time.