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Shyam Prakash Pal

July 26 · 6 min read

How Do Big Data Analytics and AI Work Together?

In today's digital economy, both large and small organizations and individuals are relying on data for day-to-day functioning. Big data and AI are among the most popular and promising technologies today. These technologies help to create insights for business.

Artificial intelligence has been in existence for more than a decade, whereas Big data came into existence just a few years ago. Artificial intelligence analyzes massive sets of Big data. In contrast, Big Data is generated on the internet every day to give businesses vital information, including trends and consumption patterns required for their success.

Both artificial intelligence and Big Data have a mutually beneficial relationship. Computers can be used to store millions of records and data, but Big Data provides the power to analyze this data.

How Artificial Intelligence and big data analytics are related?

Kockpit Big data provides the raw material by which machine learning systems can derive insights. Many organizations are moving towards the new and advanced technologies of combing big data and machine learning.

Big Data and Artificial intelligence are two remarkable modern technologies that empower machine learning—continuously reiterating and updating the data banks and taking the help of human intervention and recursive experiments for the same.

Big Data and Artificial intelligence are two technology giants that will help revolutionize businesses. However, a reciprocal relationship exists between Big data and Artificial intelligence as AI heavily depends on the success of big data.

Through machine learning, scientists have created AI algorithms to imitate the human cognitive process as human intelligence cannot sift through the massive data to gain meaningful insight. The internet provides businesses with concrete information about their customer’s likes, preferences, and consumption trends.

Social media profiles, online profiles, customer relationship management systems, and product reviews add insightful data to the Big Data pool. With such a scale of data, it is near impossible for humans to analyze individual customer information. Fortunately, this is where AI comes in.

How does Artificial Intelligence benefit big data analysis?

There are numerous advantages of Kockpit Big Data Solutions. Some of them are as follows :

360-Degree View of the Customer.

These technologies are growing at an astounding rate, and organizations are using this to their advantage to provide greater insights. In earlier times, companies were used to moving data into and out of data warehouses and creating static reports that took a long time to generate and modify.

But now, with the help of artificial intelligence and big data techniques, innovative organizations are utilizing distributed, automated, and intelligent analytics tools that sit on top of data lakes designed to gather and analyze data from several sources at once.

Improved Forecasting and Price Optimization.

Before these technologies, companies base their estimate of the current year's sales on data from the prior year. However, because of a variety of factors, such as ever-changing trends and global pandemics, predictions and price optimization can be a hard cookie to crack, especially with traditional approaches.

Big data gives companies the power to spot patterns and trends early and identify how those trends will impact future performance. These technologies help companies make better decisions by providing organizations with more information about what could potentially happen in the future with greater likelihood.

Companies using big data and AI-based approaches, especially in retail, can improve seasonal forecasting, reducing errors by as much as 50 to 60 percent.

Improved Customer Acquisition and Retention

With big data and Artificial Intelligence, organizations can easily get to know what their customers are interested in, how products and services are being used, and why customers stop purchasing or using their offerings to change themselves according to their customers' needs.

Companies can more accurately identify what customers are looking for through big data applications and easily observe their behavioral patterns. They can apply those patterns to improve products, generate better conversions, improve brand loyalty, spot trends earlier or find additional ways to improve overall customer satisfaction.

Cyber-Security and Fraud Prevention.

Tackling online fraud is a never-ending battle for businesses of all shapes and sizes. Companies using big data-powered analytics to identify different fraud patterns can detect anomalies in system behavior and are also a threat to the company.

Big data solutions have the power to go through vast quantities of data from transactional or log data, databases, and files to identify, prevent, detect and mitigate potential fraudulent behavior.

These systems can also combine various data types, including internal and external data, to alert companies of cyber-security threats that haven’t yet shown up in their systems. Without big data processing and artificial intelligence, it would be difficult for a company to prevent its company from these online fraudsters.

Identifying and Mitigating Potential Risks.

Predicting, planning, and adapting to constant changes are critical for the survival of any business. Big data proves its value in the risk management arena by providing early visibility to potential threats, helping to quantify the exposure to risks and potential losses, and prompt changes.

Big data also helps an organization identify and address customer and market risks and challenges emerging from unpredicted events such as natural disasters. Companies can digest information from many data sources and synthesize the information to provide greater situational awareness.


Before the invention of Artificial Intelligence, data had always been viewed as a liability for organizations since it required space to store. But now, with the merging trends, data is a vital asset for organizations. To keep pace with rival companies and market changes, one must have to review existing strategies, keep data analysis at the center, and adopt the latest AI and data technologies.

In the future, there will be greater availability of intelligence enterprise software that can leverage big data to solve problems. New techniques will develop for analyzing data for real-time insights. Consequently, organizations will realize a more significant ROI from all their stored data.

AI and Big Data technologies can be used in an integrated manner to provide insights into your customers. Making data-driven decisions will offer seamless opportunities for your business to reach the heights it deserves.

Shyam Prakash Pal


Stats, ML/AI, data, puns, art, theatre, decision science. All views are my own.

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