Artificial intelligence is a technology that is already impacting how users interact with, and are affected by the Internet. In the near future, its impact is likely to only continue to grow. AI has the potential to vastly change the way that humans interact, not only with the digital world, but also with each other – for better or for worse.
AI can do it
Artificial intelligence helps you automate simple tasks and create better experiences for your customers. AI chatbots empower your agents by giving them a helping hand — which lets them focus on more complex issues. It’s simple to customise, build, and extend your customer experience with our chatbot solution.
Current Uses of AI:
Although artificial intelligence evokes thoughts of science fiction, artificial intelligence already has many uses today, for example:
- Email filtering: Email services use artificial intelligence to filter incoming emails. Users can train their spam filters by marking emails as “spam”.
- Personalization: Online services use artificial intelligence to personalize your experience. Services, like Amazon or Netflix, “learn” from your previous purchases and the purchases of other users in order to recommend relevant content for you.
- Fraud detection: Banks use artificial intelligence to determine if there is strange activity on your account. Unexpected activity, such as foreign transactions, could be flagged by the algorithm.
- Speech recognition: Applications use artificial intelligence to optimize speech recognition functions. Examples include intelligent personal assistants, e.g. Amazon’s “Alexa” or Apple’s “Siri”.
Artificial intelligence traditionally refers to an artificial creation of human-like intelligence that can learn, reason, plan, perceive, or process natural language.
Why chatbots are important
Chatbot applications streamline interactions between people and services, enhancing customer experience. At the same time, they offer companies new opportunities to improve the customers engagement process and operational efficiency by reducing the typical cost of customer service.
User request analysis: this is the first task that a chatbot performs. It analyzes the user’s request to identify the user's intent and to extract relevant entities.
The ability to identify the user’s intent and extract data and relevant entities contained in the user’s request is the first condition and the most relevant step at the core of a chatbot: If you are not able to correctly understand the user’s request, you won’t be able to provide the correct answer.
Returning the response: once the user’s intent has been identified, the chatbot must provide the most appropriate response for the user’s request.
Expert System Team
Our team of IT marketing professionals and digital enthusiasts are passionate about semantic technology and cognitive computing and how it will transform our world. We’ll keep you posted on the latest Expert System products, solutions and services, and share the most interesting information on semantics, cognitive computing and AI from around the web, and from our rich library of white papers, customer case studies and more.
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