Blog September 7, 2016

3 Data-Driven Goals That Machine Learning Tackles

10If your organization is already in the cloud, you can better prepare for your cloud needs with machine learning. Machine learning is changing the way developers build applications to customize user experience. It’s extremely beneficial to know how machine learning works with huge amounts of data and to possess knowledge of certain machine learning systems.

Today, machine learning is everywhere. And when machine learning is in conjunction with the cloud, complex machine learning algorithms can be greatly simplified. So, what exactly is machine learning? As people, we gain knowledge based on past experiences. Similarly, machine learning develops useful artificial intelligence, taking data and processing it in a software that allows computers to basically think for themselves without explicit programming.

It’s easy to see why machine learning is taking off in the cloud computing industry. Most businesses are data driven. Many successes and failures depend on the data that businesses analyze and make decisions on. Machine learning can help organize your data and make it easier to build applications.

Many enterprises have data-driven goals that can fit into 3 categories.

  1. Reflective Analysis & Reporting – Before making decisions to change any part of your organization’s infrastructure, it’s important to have key insights and data that represent your IT environment’s current condition. Applications can create so much data. This data could give you insights on how users engage with your app or web services and user experience. Machine learning goes through this data for you and helps you better understand the way your app performs, improving user experience.
  2. Real Time Processing – If you’re trying to regularly keep up with changing trends or how your business is doing, machine learning helps process huge amounts of streaming data to a dashboard interface. It can identify patterns and provide recommendations.
  3. Predictions – With the live streaming data, machine learning can also predict your users’ experience and let you know if you should make changes. These predictions can improve overall user experience and, in return, improve the performance of your app or web service.

Along with these data-driven goals, machine learning also helps with fraud detection, web search results, email spam filtering, network intrusion detection, pattern and image recognition, and much more.

Many cloud solutions contain machine learning algorithms, including IBM i, AWS, Azure and more. Connectria delivers cloud solutions and services that are secure, reliable, fast and secure. If you’d like to learn more, please contact us.


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