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Philosophy and Applications of Artificial Intelligence in eCommerce

AI is a powerful tool that can improve human decisions. The first example is typically better recommendations. AI has been incorporated by major e-commerce companies, which have seen huge improvements in their bottom-lines. One of the most famous examples of AI is chatbots, which can answer queries and serve customers at odd hours. These chatbots have become the next big thing. This technology has the potential to transform the way people shop. Get more tips from our site to read about the AI in the eCommerce field.

Applications of Artificial Intelligence

The Applications of Artificial Intelligence range from targeted advertising to drug dosing and computer video game players. Whether it’s improving customer experiences or increasing revenue, intelligent applications leverage data to deliver personalized experiences and improve business processes. As a result, these technologies have the potential to transform the way businesses do business and improve the bottom line. Here are four examples of how AI can transform the way businesses operate. Let’s start with marketing.

Philosophy of mind

The philosophy of mind is the study of the nature of mind. Many of the techniques used in AI are derived from philosophy, including first-order logic, intensional logic, probability theory, and practical reasoning. Some philosophers do AI research, focusing on these topics. Listed below are a few examples. But which philosophy is best? And is AI philosophy right for our times? We will examine both these questions and more.

Prerequisites to get started with AI

If you are interested in creating AI algorithms, one of the pre-requisites is a programming language. Python is a great option for beginners and comes with libraries that are well suited to Machine Learning. However, the term “AI” is misleading, since BOT (basically an automated program) is actually weak AI. Chatbots were the first applications of BOT, while web crawlers are sophisticated examples.

Applications of AI in e-commerce

With the increasing adoption of AI in the business world, many eCommerce startups are leveraging its benefits for better understanding their customers and providing enhanced customer experiences. Applications of AI in e-commerce include creating better search results, generating leads and ensuring customers are not offered products that they will not like. According to Amir Konigsberg, CEO of Twiggle, AI helps e-commerce search engines think like humans. By using natural language processing, Twiggle is working to solve the problem of irrelevant product results.


Although AI is gaining popularity in businesses, concerns about dehumanization have limited their use so far. Despite advances in artificial intelligence, many people don’t feel comfortable speaking with a machine, and dealing with a machine is frowned upon by some cultures. These misgivings about dehumanization will only increase with the improvement of chatbots’ sentiment-reading capabilities. Author James Barrat has addressed these concerns in his book Our Final Invention, a warning against the pitfalls of superhuman artificial intelligence.

Knowledge representation

One aspect of artificial intelligence that is closely related to human cognition is knowledge representation. We have the capacity to understand and interpret knowledge and can then perform various actions in response to it. The aim of this chapter is to understand this important segment of AI and how it contributes to intelligent behavior. Knowledge representation can be broadly classified into procedural, meta, heuristic, structural, and inheritable types. While humans are superior at knowledge representation, computers may not be as adept as humans at it.

Knowledge engineering

The development of knowledge-based systems involves several activities. They include assessment of a problem, development of a structure or shell, and acquisition of knowledge. Knowledge engineers pool data from various sources to develop systems that mimic expert decisions.

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