Definition of AI
A computer system’s ability to think and behave smartly in different situations by interpreting external data correctly, Learning from such data, and using those learning to achieve specific goals and tasks through flexible adaptation such behavior includes but is not limited to solving problems, Visual perception, speech recognition, decision-making and translation between languages. In other words, it is the idea of giving machines the ability to learn. That is why AI as a field combines variety and integrated disciplines like computer science, engineering, pedagogy, communication, and many other related disciplines to give such ability of learning to machines so called “artificial intelligence”.
The components of AI
The ability of computing to learn needs to be incorporated with advanced data analytics and big applications. As a software driven system, AI works though intelligent agents with cloud-based AI services in a continually dynamic way that made “optical character recognition” and “ computer chess” examples for routine computing. Lot technologies connect the wide variety of AI application systems include robotics tools and many others to deliver more advanced features and capabilities that already change the nature of work and generate a new relationship between human and machine.
To know how it works, it is important to identify the components of AI. All of them are based on the simple idea of algorithm that is, a calculation, process a set of data, or test a logical statement.
- Machine Learning (with sub-field components of predictive analytics & deep learning).
- Machine perception (with the ability of machine to speak and to recognize images).
- Natural Language Processing (whether for classification, translation, or data extraction).
- Expert System.
- Planning and Optimization.
The future of artificial intelligence marketing
In future, marketers can expect the following impacts from artificial intelligence marketing:
A. More intelligent searches: As technology solutions become wiser and more perfect, it’s important to keep in mind that the public becomes more sophisticated in their requirements. Thanks to social media and fast search engines like Google, people find what they need in a very short time. Artificial intelligence and big data can analyze these search models and help marketers identify the key areas they need to focus their efforts on.
B. Smarter Ads: Marketers are still trying to attract consumers with smart advertisements today, but with using artificial intelligence, they can do it faster and more efficiently. With big data, online ads are becoming smarter and more effective. Artificial intelligence can dig deeper into the data, social networks, profiles, and other online content for human solutions.
C. Refined Content Delivery: With the help of artificial intelligence, marketers will be able to target consumers to a completely different level. By analyzing the targeted consumers, marketers, besides the demographic characteristics, will understand the consumers on an individual basis. Now, marketers can use artificial intelligence on two levels: identify potential customers more easily and deliver the ideal content that is most relevant to them. This is achieved through big data, machine learning and their combination.
D. Relying on Bots: Consumer care and retention is another area where artificial intelligence can play a significant role in the future. Very soon, the conversation functions and other direct-to-consumer engagement will be carried out by artificial intelligence bots. In this way, companies will save time for employees and reduce costs. The artificial intelligence bots will have access to the entire internet of data, information, a search history so that they become more effective than humans.
E. Continued Learning: With the help of artificial intelligence, not only will it reveal some hidden data, but it will teach them and incorporate them into new promotional campaigns and optimize the messages to the most relevant users. Over time, the artificial intelligence solutions will become more intelligent, effective and will promote decision making in real time.