If you’re still unsure of machine learning and it’s benefits, consider these scenarios

In 2016, Google’s net worth was reported to be $336 billion, and this is largely due to the advanced learning algorithms the company employs.

Google was the first company to realize the importance of incorporating machine learning in business processes. And the technology powerhouse doesn’t stop at any given point; it keeps modifying its algorithms to better suit the needs of its users continuously.

And how does it accomplish the difficult task of observing the browsing pattern of thousands (or millions) of its users?

The answer is simple. By analysing the data, which it has accumulated by introducing machine learning to its business operating model.

This is just one example of how machine learning processes in the recording and processing of data can help businesses grow.

Here are three more ways in which machine learning can help various business sectors:

1. It removes physical restrictions

If we have accomplished one thing by automating and digitalizing business processes, it is that we have removed the physical limitations that restrict growth.

Before the technological age, what was the biggest problem faced by businesses? Operating within a limited space accessible only by a limited number of people. For a designer, it was necessary to completely clear out the previous inventory before utilising the shelf space for new designs. By embracing machine learning and diving into the world of ecommerce, you don’t ever have to worry about running out of shelves.

2. It provides a deeper understanding of your consumers

With the introduction of automated processes, businesses have become increasingly consumer-centric. To be able to survive the competition of catering to your customers’ needs, you as a business owner have to understand the needs of your consumers.

If you do not deliver what consumers are looking for, there is a high probability that you will lose potential customers to competition. Machine learning plays an important part in solving the mystery of consumer preferences. All required information is hidden behind the data accumulated by the business. You just have to crunch the code, and voila—you know what your customers are actively searching for.

3. It automated processes, boosting efficiency

Imagine standing in line in a supermarket; someone with a long haul is standing ahead of you and the cashier’s machine suddenly breaks. It’s a nightmare, right? You could be spending those precious minutes watching your favourite series on Netflix.

Now imagine that the machine is not broken but in fact was never invented. The cashier has to manually enter every purchase and tally it with the existing stock. Incorporating automated processes to record inventory stock and purchase order data is not a luxury, it’s a necessity in today’s world. Machine learning has increased the efficiency of businesses and minimized the room for error.

Want to learn more about how to incorporate Big Data analytics to propel your business towards growth? Visit Simplilearn for useful insights into the subject. For more interesting content about data analytics follow me on Twitter and LinkedIn.

 

Ronald

Ronald helps data driven companies generating business value with best of breed solutions and a hands-on approach.

He has been recognized as one of the top 10 global influencers by DataConomy for predictive analytics, and by Klout for Data Science, Big Data, Business Intelligence and Data Mining and is guest author on leading Big Data sites, is speaker/chairman/panel member on national and international webinars and events and runs a successful series of webinar on Big Data and on Digital Transformation.

He has been active in the data (process) management domain for more than 18 years, has founded multiple companies and is now director at a Data Consultancy company, leader in Big Data & data process management solutions.

Broad interest in big data, data science, predictive analytics, business intelligence, customer experience and data mining.

Feel free to connect on Twitter or LinkedIn to stay up to date on success stories.

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