Why businesses should Use Machine Learning For Data Analytics

Innovation in machine learning offer many benefits to business data analytics. Businesses are able to benefit from machine learning because the algorithms that are used make accurate, data-informed choices. According to Forbes, by the year 2020, the Internet will have an estimated 1.7 megabytes of newly created data per second for every human in existence. Machine learning gives businesses accurate data at a faster rate than other programs, so businesses that use machine learning will succeed more rapidly than other businesses. Those who want to use machine learning to help their businesses grow should take time to understand the machine learning process and understand the algorithms that will best help their businesses flourish.

What is machine learning?

Machine learning is an algorithm that analyzes data and automatically produces an analytic model. It enables businesses to gain insights because computers are not programmed to look for data at a specific area. As a result, businesses can discover information that was not known due to machine learning to gather information from unspecific locations and recognize useful data patterns and inconsistencies.

Machine learning
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Information and machine learning experts use proven algorithms to understand the meaning of the data that is produced from computers. However, the primary goal of machine learning is to leverage businesses to a point where they no longer need information scientists and machine learning experts.

Machine learning Algorithms

Machine learning has been so successful because it is comprised of self-teaching algorithms. When these algorithms are subjected to a massive amount of data, they are able to learn from the information for accurate predictions and results. Machine learning algorithms can be grouped into

  • supervised,
  • unsupervised,
  • and reinforcement learning.

An example of a machine learning algorithm solution is streaming company’s recommendation tool, which was produced by machine learning predictions using data that was gathered from a user’s watch history. There are a variety of algorithms that are used for different benefits such as fraud detection.

Business Analytics and machine learning 

An article in Fast Company reported that a significant number of business owners do not completely rely on the information their analysts provide. The goal of business owners and machine learning is to gain better data without human error. There are also analytic obstacles business owners and executives face such as implementing newly gathered information into routine business processes.

What Industries use machine learning?

Government

The government uses machine learning with utilities and public safety, but the government’s primary use of machine learning has been to locate new ways to reduce spending and increase efficiency. In addition, the government also incorporates machine learning into cyber security applications that help identify individuals who commit theft or fraud.

Healthcare

Healthcare is an industry that has used machine learning to improve screening, diagnosis, and treatment. Enlitic is a company that uses machine learning to analyze images, so that doctors are able to accurately diagnosis patients faster. Another company, known as Ginger.io, is studying how effective machine learning is used as part of a treatment plan for those who have anxiety and depression.

Machine learning industries
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Oil

The oil industry is also taking advantage of machine learning. BP is planning to use artificial intelligence and machine learning to create data models that show flow rates and machine vibrations with information from the natural environment. The goal of BP is to make business decisions using natural data, such as the height of the ocean’s waves, which will optimize efficiency.

Transportation

Machine learning has revolutionized the transportation industry. Uber and Google were among the first companies to test a self-driving automobile, and there have been many companies to follow the pursuit of a self-driving automobile ever since. According to Northwestern’s McCormick School of Engineering, machine learning can be used to estimate time delays due to traffic congestion by using images to recognize unusual patterns in traffic.

The Future of machine learning and Business Data Analytics

According to the Data Science Community, retail managers will have the capability to make fast and accurate choices without the help of executives. With the advancements in machine learning, business analytics can now go further than a description and prediction business model, it can move toward predictive analytics and help business owners and executives make accurate decisions quickly.

James Ponds

James Ponds

James graduated with a MBA with an emphasis in marketing. In his free time he studies the current marketing/business trends. He is a guest contributor on the Visionary Marketing blog.
James Ponds

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