How is Machine Learning Impacting IT?

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How Machine Learning is Impacting IT

Machine learning is providing the necessary frameworks, applications, and algorithms to generate more efficient predictive accuracy, and value, to data. Data that is continually being collected and stored. It’s always growing. Growth means change and adaptation.

With more and more companies doing business online, they also have to acclimate to the increased security risks that accompany growth in the cyber-age. That’s a boon for the IT industry because just about every business needs some level of information technology support.

Machine learning, the artificial intelligence that provides computers with the capability to learn something without being programmed, is playing a vital role!

Think of computer programs that can teach themselves new things and go on to grow and evolve when they encounter new data. Machine learning programs identify data patterns and self-regulate, adjusting the program action based on what they’ve found.

Machine learning programs primarily perform three unique tasks:

  • Predict an outcome (think ‘yes’ or ‘no’).
  • Predict multiple possibilities such as the behavior of online shoppers.
  • Predicting an actual value. For example, predicting the appropriate price that a customer will be willing to pay for an item, or predict the number of given units that will sell.

Fraud

Machine learning can help detect fraud and even help prevent it from occurring. By monitoring routine business transactions, it can contribute to the identification of fraudulent activity, stopping it before it can happen.

Speed

Many IT departments today deal with large-scale data on a daily basis. In the event of an anomaly, it can be difficult to single out the problem, not to mention time-consuming. Machine learning makes it easier to identify anomalies and direct necessary resources to the system, thereby avoiding a potential system overload.

Version Control

Version control can be pricey depending on the amount of data you’re working with. Since machine learning can do repeatable tasks, it can accurately take consistent snapshots to be used for data reference, compare old and new data, and even determine what ultimately caused the changes.

How is Machine Learning Impacting IT?

Machine learning programs utilize experience to modify existing algorithms. Once you’ve identified something, you no longer need to keep identifying it. Think of your email spam filter. Once you identify an item as spam, machine learning programs such as the ones used by Google, can filter and categorize future items a spam. You don’t need to identify the same thing twice.

While the advancements mean significant changes, machine learning is still dependent upon its relationships with humans. Big business intelligence companies may be using machine learning to quickly analyze and sort data, but they still need humans to ensure the machines are asking the correct questions; to get the information businesses need. Even the most complex and precise algorithm will still require a human to guide it in the proper direction.

Machine learning holds great potential as computers are delving into areas once thought to be a strictly human domain. Its technology is in the development phase, and it is growing daily.

What’s Next?

Are you a looking for a new job that involves machine learning? Are you interested in learning more about this dynamic, in-demand field? Get in touch with the team at INSPYR Solutions today for more information and to find out what we can do for you!

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