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Big data and artificial intelligence are two of the most popular and useful technologies today. Artificial intelligence was born more than a decade ago, and big data was born a few years ago. Computers can be used to store millions of records and data, but the ability to analyze that data is provided by Big Data.

Big data and AI are two amazing collections of modern technologies that inject momentum into machine learning, constantly repeating and updating databases while optimizing with human intervention and recursive experiments. This article explains how to solve all possible problems related to data through AI and big data.

01 Big Data and Artificial Intelligence

Big data and AI are seen by data scientists or other big companies as two mechanical giants. Many companies believe AI will revolutionize their corporate data. Machine learning is considered an advanced version of artificial intelligence by which various machines can send or receive data and learn new concepts by analyzing the data. Big data helps organizations analyze existing data and derive meaningful insights from it.

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For example, consider the scenario where a leather clothing manufacturer exports its clothing to Europe, and by collecting data from the market and analyzing it through various algorithms, the merchant can identify customer behavior and interests and then offer clothing according to customer interests. Here, algorithms can help us see the market and find accurate information.

02 How Big Data Helps Artificial Intelligence

It is well known that AI will reduce the overall intervention and work of humans, so people think that AI has all the machine learning capabilities and will create robots to take over human work. The expansion of artificial intelligence will reduce the role of people, and the intervention of big data is the key to change. Because machines can make decisions based on facts, but not emotional interactions, data scientists can include emotional intelligence based on big data and let machines make the right decisions in the right way.

For example, it is unlikely that a data scientist at any pharmaceutical company will be able to analyze not only the needs of customers, but also comply with the regulations of a particular market in that region and adjust drug ingredients to provide the best choice for that market.

So it's clear that the convergence of AI and big data is not just about talent and learning going on simultaneously, it's also bringing a lot of new concepts and options to any new brand and company. The combination of AI and big data can help companies understand customer interests in the best way possible. Through machine learning, companies can identify customer interests in the shortest possible time.

How does Big Data help global diversity?

As new technologies and tools continue to be introduced to the market, the cost of machine learning and artificial intelligence tools is also decreasing significantly.

As prices fall, more and more companies will adopt the technology. Technology and tools are equally popular even in regions with different cultures, languages and religions. At the same time, suppliers must provide equivalent solutions to the market based on customer needs.

Big data technologies and tools will help companies deliver relevant solutions based on their customers 'regions and languages, while machine learning will help them deliver solutions to companies that don't affect customer sentiment. As with any female-oriented product, however, the marketing of the product in Sri Lanka and Iran will be completely different because the female mood in the two regions may be completely different.

04 Big Data and Artificial Intelligence Improve Market Analytics Insight

At present, the big data and AI market is still in its infancy, and service providers do not know exactly where customers are and what their needs are. Over time, they will implement accurate customer needs and plan quotes and product features accordingly. Over time, organizations will recognize exactly what their customers 'needs are, and even AI-based solutions may need to change dramatically as customers' needs may vary.

05 Artificial intelligence technology used with big data

There are several AI technologies that can be used with big data, and here are a few of them:

anomaly detection

For any dataset, big data analytics can be used to detect anomalies. Fault detection, sensor networks, and the health of ecosystem distribution systems can all be detected through big data technology.

Bayes 'theorem

Bayes theorem refers to the probability of an event occurring based on known conditions. Even the future of any event can be predicted on the basis of previous events. This theorem is most useful for big data analytics, which uses past or historical data patterns to calculate the likelihood of customer interest in a product.

pattern recognition

Pattern recognition is a machine learning technique used to identify patterns in a certain amount of data. With the help of training data, these patterns can be identified, known as supervised learning.

graph theory

Graph theory is based on the study of graphs, which uses vertices and edges. Through node relationships, data patterns and relationships can be identified. This pattern is helpful for pattern recognition by big data analysts. This research is important and useful for any business.

06 Summary

It can be said that artificial intelligence and big data are two emerging technologies widely used by companies. Even these technologies are being used by them to deliver a better customer experience in an organized and smarter way. These technologies can be combined to provide a seamless experience for customers.

AI and Big Data use many methods and technologies, but they can be used in an integrated way and provide results for companies to analyze customer interests and provide them with the best service.

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