Big data and artificial intelligence is the most popular and most useful of the two technologies. AI was born ten years ago, it was born in the big data a few years ago. The computer can be used to store millions of records and data, but the ability to analyze these data is provided by big data.
It can be said, big data and artificial intelligence are the two stunning collection of modern technologies, machine learning inject momentum, repeated and updated database, while the aid of human intervention and recursive optimization experiments. This article will explain how to solve all the possible problems associated with data through artificial intelligence and big data.
01 big data and artificial intelligence
Big data and artificial intelligence are data scientists or other large companies as two mechanical giants. Many companies believe that artificial intelligence will revolutionize their corporate data. Machine learning is considered to be an advanced version of artificial intelligence, through which various machines can send or receive data, and to learn new concepts by analyzing the data. Big Data helps organizations analyze existing data and draw meaningful insights.
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For example, consider this scenario: a leather garment manufacturers to garment exports to Europe, and then to provide clothing through data collection and analysis from the market, businesses can identify customer behavior and interests through a variety of algorithms, according to the customer's interest . Here, the algorithm can help us insight into the market and find accurate information.
02 How Big Data help of artificial intelligence
As we all know, artificial intelligence will reduce the overall human intervention and work, so people think that AI has all the machine learning, and create robots to take over the human work. The expansion of artificial intelligence will reduce the role of people, involved in big data is the key to change. Because the machine can make decisions based on facts, but does not involve emotional interaction, but the data scientist can be based on big data will include EQ in, let the machine in the right way to make the right decision.
For example, a pharmaceutical company for any data scientist, he must not only analyze customer needs, but also in the region to comply with market-specific regulations, adjustment of drug ingredients to provide the best choice for this market, machine learning is unlikely to complete it kinds of tasks.
So obviously, the integration is not just talent and learning artificial intelligence and big data at the same time, also brought a lot of new concepts and options for either a new brand and company. Combination of artificial intelligence and big data can help companies with the best way to understand the customer's interest. Through machine learning, companies can identify the customer's interest in the shortest possible time.
03 How Big Data help global diversity?
With the constant introduction of new technologies on the market and new tools, the cost of artificial intelligence and machine learning tools are also significantly reduced.
As prices fall, more and more companies will adopt this technology. Even in a different culture, language, religion, region, technology and tools are equally popular. At the same time, the supplier must provide equivalent solutions to the market based on customer needs.
Big Data technologies and tools will help companies provide solutions according to the customer's region and language, and machine learning will help them provide solutions do not affect the mood of customers for the company. Like any female-oriented products, but marketing the product in Sri Lanka and Iran, the market will be completely different, because women mood these two regions may be completely different.
04 big data and artificial intelligence to enhance insight into market analysis
Currently, big data and artificial intelligence market is still in its infancy, service providers, customers do not know specifically where, what their needs are. Over time, they will achieve the exact customer needs and plan appropriate pricing and product features. Over time, the organization will recognize the exact needs of their clients what is, even artificial intelligence based solutions may need to be changed dramatically, because the customer's needs may be different.
05 is used with artificial intelligence and big data
There are several artificial intelligence techniques can be used with large data, which are the following ways:
- abnormal detection
For any set of data, data analysis may be used to detect abnormal large. Fault detection, sensor networks, health ecosystem dispensing system herein can be detected by a large data technologies.
- Bayes Theorem
Bayesian inference refers to the probability of events based on known conditions. Even any future events can be predicted on the basis of prior events. For large data analysis, this theorem is the most useful, it may be the possibility of customers interested in the product was calculated using historical data or past patterns.
- Pattern Recognition
Pattern recognition is a machine learning technique, to identify a certain number of data patterns. With the help of training data, these patterns can be identified, it is called supervised learning.
- Graph Theory
Graph theory based on research on the graphics, the graphics will be used to study a variety of vertices and edges. By node relationships may identify data patterns and relationships. The mode of big data analysts pattern recognition will certainly help. This study is important and useful for any business.
06 summary
It can be said, big data and artificial intelligence are two widely used emerging technology companies. Even these techniques are also used them in an organized and smarter way to provide a better customer experience. These techniques can be combined together to provide customers with a seamless experience.
Artificial intelligence and big data using a number of methods and techniques, but they can use in an integrated manner, and provide the results for the company to analyze customer interest, to provide them with the best optimization services.