Big Data and AI

Since the launch of Siri in 2011, artificial intelligence has quickly become an integral part of our lives. Through AI and machine learning, we are now able to use digital assistants like Google Home and Alexa to interact with technology more efficiently than ever before. The rapid advancements made by companies such as Google, Facebook, and Apple have led many experts to believe that AI will soon be a fixture in nearly every aspect of our everyday lives. AI is transforming big data in the following ways; –

1. AI can make big data more actionable

By identifying patterns and trends in big data, AI can help to make it more actionable. This means that businesses will be able to take immediate action on essential insights gleaned from data analysis, rather than having to wait for a human analyst to identify them. For example, in the world of sports betting, AI is already being used to improve the accuracy of predictions by analyzing past data on player and team performance. One of the biggest challenges with big data is extracting insights from unstructured data. This is where artificial intelligence and natural language processing come in, as it allows machines to understand human language and extract meaning from it. With AI, we can now ask our digital assistants questions that are natural for us, and they will be able to answer them with ease.

2. AI for data mining:

AI makes it possible for computers to find patterns that are not obvious at first glance, and this process is invaluable when analyzing big data. This is especially critical in areas like healthcare, where it is necessary to make complex decisions based on an enormous volume of medical information. As an example, AI can be used by a healthcare provider to monitor a patient’s behavior over a while and apply this information to their treatment. Therefore, AI can be used to improve the quality of services offered by healthcare facilities.

3. Predictive analytics:

Not only is it possible for computers to process huge amounts of data quickly, they are also able to build models which can predict future trends based on observed past behavior. All of this helps make big data more manageable, as computers rather than humans can analyze it.

4. Visualization of data:

Big data is often difficult for humans to visualize due to its sheer size and complexity. Still, artificial intelligence can help with this problem by visualizing the information through machine learning algorithms. This makes it easier for human beings to understand and quicker insight recognition. Furthermore, through the use of an AI data annotation platform individuals and businesses are better apt to visualize data.

5. Text analytics:

AI is now being used for text analytics, which aims to understand the meaning of what is said or written by users. This type of analysis helps companies understand their audience more efficiently, as they can interpret customer feedback on social media and elsewhere in a more meaningful way.

The same technology has been used to scan the text directly from the textbook and create digital content. Technologies like receipt OCR have become popular and are helping audiences instantly extract and parse accurate data.

6. AI will help to create more efficient workflows

As businesses become increasingly reliant on big data, the need for efficient data processing and analysis becomes more pressing. AI can help automate many of the tasks involved in data processing, such as cleaning and formatting data so that businesses can focus on higher-level tasks. In the future, AI may even take on more complex tasks such as predictive modeling.

7. AI can help to reduce human bias

One of the most significant advantages of using AI for big data analysis is that it can help to remove human bias from the equation. By automatically filtering data and identifying patterns, AI can help businesses make decisions based on facts rather than opinions. This is particularly important in fields such as recruitment, where human bias can often lead to unfair judgments about potential employees.


AI is now becoming the backbone of many industries as its ability to transform big data analytics is just too huge and demanding for people alone. The use of artificial intelligence is changing big data for the better, and this trend will likely continue in the years to come. As AI becomes more sophisticated, we can expect it to play an even larger role in helping us to make sense of the vast amounts of data that we are now faced with.