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Home AI

What Makes Bot / Chatbot so Intelligent?

Adam Batters by Adam Batters
September 28, 2020
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Contents

  • 1 AI – Intelligent Chatbot for Business
  • 2 What is a bot?
  • 3 What is a chatbot?
  • 4 What makes Chatbot AI smart?
  • 5 Understanding the Context by the intelligent Bot
  • 6 Consistent bot communication
  • 7 Predefined Bot scenarios
  • 8 Bot learning abilities
  • 9 Do you need an AI Chatbot for business?
    • 9.1 So how do you define your requirements for the bot?
  • 10 Summary

AI – Intelligent Chatbot for Business

Chatbot is a new word in business and it is still not properly defined and requires clarification. From simple Q & amp. Bots ; And answering simple questions to intelligent solutions that provide high-level conversations.  

Chatbots have come a long way in understanding and solving human problems. Now chatbots can process all data, be it text, audio or visuals. This increased chatbot potential offers many new opportunities for marketers and managers.

They can now use them to improve internal communication, provide customer service, personalize sales processes, purchase funnels, etc. Although our awareness of the reasons that determine the bot’s intelligence level is increasing, the lack of it often becomes a barrier that effectively blocks development this topic in our companies. A frequently asked question is how smart should a bot be and what do smart chatbots do? I will try to present it in a simple way.

What is a bot?

According to Merriam-Webster, the definition of a bot is “a computer program that performs automatic repetitive tasks.” To expand on this definition, bots also act as an essential tool to automate the interaction and engagement with web content on a large scale.

Internet bots are not a new concept. Search engines like Google make heavy use of bots, often called crawlers, to analyze content and index web pages. The use of a bot in their case allows them to catalog pages much faster and more scalable than people could do it themselves.

Like any technology, bots can certainly be misused. We see examples of this in online attacks, spammer accounts on social media, and the online resale arena. These “botnets” give bots a bad name and build a negative image and negative connotations.

When thinking about bots, it’s important to keep a holistic viewpoint. Bots are software that is becoming easier to implement. They can serve a variety of purposes, and what they ultimately achieve depends on the people who create them and then control them.

What is a chatbot?

Chatbot is a type of bot designed to interact with people. They automate the process of interacting with people visiting your site and observing social media . They try to provide the best possible service. They communicate in natural, written and spoken language with customers and users of stores, websites.

The function of chatbots is very difficult. Replacing people is not easy and the algorithms behind it are very complicated. I recommend an interesting free Dialog Flow solution

What makes Chatbot AI smart?

It may sound strange, but bots are inherently intelligent in terms of programming. They are able to demonstrate a certain level of intelligence through the use of technologies such as machine learning , Big Data, natural language processing, etc. On my blog, you had the opportunity to read several articles on this topic. I am planning more.

Understanding the Context by the intelligent Bot

Understanding the context in a conversation is the most difficult aspect of both interpersonal and human-bot communication. To understand the context well, the bot needs to analyze input data such as time, day, date, conversation history, tone, sentence structure etc. These variables are then analyzed to allow bots to understand the context in which it is located.

For example, in the sentence “Great! Now that’s great! The flight will be in 3 hours ”, the user is not satisfied with the flight delay, but the machine can easily make a mistake if it cannot understand the context in which the customer is located. It is 3.30pm, the flight was supposed to be 4.00pm. The conversation sentence will appear at 3.55pm.

Consistent bot communication

We expect the chatbot to be as human as possible. In order to make a conversation similar to a human, a bot needs a prepared personality and features, for example, I think about the tone of speech, dialect or accent. Just like people have certain characteristics, a bot must also have its own character. Communication with the bot must be consistent in terms of language and style.

We don’t expect the bot to speak different tones with different accents or languages ​​once to young people and the elderly. To achieve this, it’s important to plan your bot’s personality and stick to it consistently when managing communication. Achieving this consistency is very complicated, especially for bots that can communicate by voice and text.

Predefined Bot scenarios

Chatbot can easily work with predefined conversation scenarios. These scenarios are intended to structure the interview process. Most chatbot conversations are usually based on such predefined scripts. Generally speaking, you don’t need an AI chatbot for these conversations.

However, it becomes complicated to make these calls in the case of open conversations. This is where artificial intelligence comes in handy. Chatbot AI can look for solutions to user inquiries from various sources, such as the internet and pre-built datasets, to give appropriate answers to the questions asked.

Bot learning abilities

Chatbot often asks many questions, thanks to which it builds a profile of features and preferences. Ultimately, this is a process that is intended to be useful for users, but if the same questions are asked every time you try to communicate with the bot, the goal that will be achieved is irritation. We also have a habit of continuing the conversation from where our last conversation ended.

Therefore, the bot should first of all recognize the user, learn him and remember the history of conversations with all its parameters. Therefore, machine learning skills are necessary and without them there is no chance to go beyond the area of ​​predefined questions and answers, i.e. the expert system.

Do you need an AI Chatbot for business?

Now that we know the key elements that make a chatbot smart, the next step is to estimate your requirements. Chatbot can be intelligent in many ways. It may be good enough to understand the context, or it may be as good as Siri or Cortana. One of the things managers miss is that they have to answer a lot of difficult questions when creating bots. Resources Involved In this process, I mean time and money, increase in direct proportion to the bot’s intelligence level.

So how do you define your requirements for the bot?

The best way to solve this problem is to carefully analyze your goals. If your chatbot is going to solve a specific problem, it is better to choose predefined scenarios for those specific problems. This will save resources, less stress and a high conversion rate.

On the other hand, if your goal is to engage users on a wide range of topics, choosing the AI ​​chatbot option is a good option. Given that chatbot is still an evolving technology, it is better to limit the scope of generality and be more specific in communication. When you see a positive impact on performance and ROI, you can ultimately increase its focus and intelligence.

Summary

Before starting the “chatbot” project, it is worth defining the level of your knowledge about the processes that you want to handle with bots, similar to marketing automation . Defining your goals clearly will help you avoid frustration and failure. The method used in a start-up, or “product development”, is ideal in this case. Test the simplest, functional solutions on the simplest problems. Learn together with the bot and increase its intelligence level.

If you have sufficient funds, you can speed up this process. Nevertheless, it will still be a process where the organization will learn together with the bot. It is like with children, the student needs a master, the difference is that children learn for years and Bot learns in real time.

Adam Batters

Adam Batters

Adam is a blogger and AI enthusiast who loves to share his knowledge with others. He has been blogging for over 5 years and has amassed a large following of loyal readers. His blog covers topics such as machine learning, artificial intelligence, and data science.

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