AI and Big Data: 2 Technologies Changing the Business Landscape
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AI and Big Data: 2 Technologies Changing the Business Landscape

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In today’s digitally driven, business landscape, artificial intelligence (AI) and Big Data are playing pivotal roles. AI provides businesses with the ability to automate tasks and make better decisions. Big data, on the other hand, gives businesses the ability to collect and analyze vast amounts of data to gain insights into their customers and operations.

What’s the Difference Between AI and Big Data?

AI is a branch of computer science that deals with the creation of intelligent machines that can work and react like humans. Big data, on the other hand, is a term used to describe the large volume of data that businesses now have access to. The main difference between AI and big data is that AI is focused on creating intelligent machines, while big data is focused on collecting and analyzing large data sets.

There is a lot of overlap between AI and big data, and the two fields are often used together. For example, big data can be used to train and improve AI algorithms. Similarly, AI can be used to analyze and make sense of big data sets. Together, these two technologies are helping businesses to improve their efficiency and effectiveness. Here are some examples of how AI and big data are changing the business landscape:

How AI and Big Data Are Used to Take Business Operations to the Next Level

1. Recognize Data Trends and Collect Consumer Information

In the current competitive landscape, data is king. Companies that can collect and analyze data effectively can gain a significant competitive advantage. One way that companies are using data to their advantage is by recognizing trends and collecting consumer information.

With the help of AI and big data, businesses can track consumer behavior and preferences to better understand what they want and need. This information can then be used to improve products and services or to create targeted marketing campaigns.

Targeted marketing campaigns are more likely to be successful because they are based on consumer data. By understanding what consumers want and need, businesses can create campaigns that are more likely to resonate with them.

2. Give a Significant Boost in Business Analytics

Businesses have long relied on analytics to make informed decisions, but the advent of artificial intelligence (AI) is taking business analytics to a whole new level. With AI, businesses can now collect and store vast amounts of data more efficiently than ever before.

With the help of AI, they can analyze this data and glean insights that would otherwise be hidden. This is leading to a significant boost in business analytics, as businesses are now able to make more informed decisions based on hard data.

3. Automate Tasks and Improve Efficiency, Productivity, and Team Morale

One of the most impactful ways AI and big data are being used is to automate tasks that are traditionally done by human employees. This not only saves the company time and money, but it also frees up employees to focus on more critical tasks. In many cases, it also leads to improved accuracy and consistency, as machines are not susceptible to human error.

For example, consider a customer service team that spends its time fielding calls and responding to emails. By using AI to automate simple tasks like providing basic information about the company or product, the team can focus on more complex tasks that require human interaction. This not only improves efficiency, but also improves the quality of service the team can provide.


Big data and AI are changing the way businesses operate, giving them the ability to make more informed decisions and stay one step ahead of the competition. As data becomes more and more integral to the success of businesses, those who can harness its power will be the ones who come out on top.

Overall, using AI in business analytics leads to a more efficient and effective decision-making process. This results in improved business performance and a competitive advantage for those organizations that are utilizing AI.

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Written by Hiran Wickramasinghe