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AI-Powered Chatbots

AI chatbots are absolutely astonishing and go hand in hand with artificial intelligence and human intelligence. Today’s chatbots can help you order food, or guide you through a complex B2B sales process.

Different kinds of chatbots are built to cater to different kinds of needs.

An AI chatbot can understand context outside of a set of pre-programmed rules and continue learning based on the fresh inputs it receives.

1.  What is an AI-powered chatbot?

There’s a key difference between an AI-powered chatbot and just a plain chatbots, and that is artificial intelligence and automation.

This means that the script is designed to give salespeople the details needed to inform their next sales script.

However, if a user arrives on the website and asks something that the programmer didn’t feed in, the chatbot won’t be able to provide an answer.

An AI-powered chatbot is trained to function more or less on its own, by using a process known as Natural Language Processing, combined with artificial intelligence and the annotation of human data.

AI-powered chatbots get smarter over time.


2. Advantages of AI-powered chatbot


(i) Trainable

Imagine employing someone who you can train to complete tasks precisely as you need them to be done. AI-powered chatbots learn and improve over time and respond to feedback without complaint or question. Every interaction they have with their users makes them smarter, more efficient, and better at completing the task.

(ii) Dependable 

AI-powered chatbots never sleep. They don’t miss an incoming message and work 24/7. In every time zone, in every language, talking to everyone, and anyone who speaks to it.

(iii) Scalable

They might start by talking to your website visitors about your products, helping them select the correct one, and take them through the buying process. You’ll want them to talk to your current customers, assisting them with their problems and questions.


Soon you'll begin using it internally, as the interface between clients and employees. Ultimately, it will be used by the staff as an interface. On top of its core functionality, an AI-powered bot is scalable regarding numbers of conversations and users. It can talk to just one person as easily as it can to thousands.

(iv) On-brand

An AI-powered chatbot never gets moody, never comes to work frustrated, and always presents itself in line with your brand’s guidelines and voice.

It will talk exactly how your brand would talk. It’ll use the same level of humor, tone, personality, and language every single time unless programmed to do otherwise. It will literally be the “voice” of your brand, across all the digital channels you let it talk through.

Also, it’s instantly adjustable and does not need a time-consuming brand, culture, and ethos training. If down the line you need to adjust your brand voice, it is as simple as just re-typing the words it uses.


3. How to Make an AI-powered chatbot?

Building an intelligent chatbot yourself requires some good expertise. Like the nuances of NLP, deep learning, and other algorithmic forms of intelligence.

An AI-powered chatbot is fed data, which it interprets and translates into a relevant output/response that the user receives after asking a question.

So, the chatbot receives information from a programmer, and then over time, it’s trained to understand the context through several algorithms that involve tagging parts of speech, and much more.


4. How to choose the best AI-Chatbot that is in accordance with your needs?

The first thing you’ll need to do when selecting an AI-powered chatbot platform is to know your needs, along with your organization’s technical capabilities.

Do you need a rules-based chatbot or an AI-powered bot that will help you analyze massive data sets and continue to build on existing knowledge?

If you have a use case for an AI-powered bot and are beginning to explore your options, here are a few things you should keep in mind as you begin your research.


A. Programming Language

Despite the fact that many AI chatbot builders come with drag-and-drop interfaces, the options of programming languages offered are still an important consideration.
Java and C++ offer more speed than Python-powered bots, but Python is easier for those teams who have less experience in building chatbots.


B. Ease of Use

How much work can your team reasonably handle when it comes to building a chatbot? Some platforms are easier, but the drag-and-drop style programs don’t always allow customization.


C. What kind of AI do you want?

Find an AI-powered chatbot platform that comes with the ability to understand tone, sentiment, and customer personalities so that it can deliver the best possible experience.
This includes analyzing a situation and making a decision to transfer to a live chat agent or present a solution automatically.


D. Does it connect with your CRM?

If you’re using chatbots to get insights, you will want to pick a program that syncs up with your CRM – and other tools like your marketing software, email service provider, and so on. One of the main reasons many brands and services seek an AI tool with analytical capabilities is so that they can review data and make decisions faster.


E. Is it pre-trained?

Of course, many chatbot platforms are built on an existing AI data set. But you’ll want to make sure that you select an option that comes with some understanding of terms and knowledge specific to your industry. A regular/general chatbot might not be out of the box.

5. Which Is Better – An AI-powered chatbot or a rule-based chatbot?

It all depends on the use case.

Rule-based chatbots are not as flexible as their AI counterparts, although, they do have advantages. For brands that want to create a predictable, tightly controlled experience for users, rule-based chatbots allow them to focus on guiding their audience toward a specific goal, be it speaking to a human being or signing up for a walk-through demo.

If you are looking for a smarter AI-powered bot that can handle complex queries, AI bots may be a better choice here. Common use cases include the following:

  • Sentiment Analysis – AI-powered bots can comb through massive data sets to identify customer complaints, reviews, and mentions across multiple touchpoints.


  • Understanding Behavioral Patterns – AI-powered chatbots can be used to help brands identify different patterns that humans might not detect.


  • Learning and Adapting to User Preferences – For example, offering customers a personalized solution, such as saving preferences, mirroring language, delivering customized content or offers.

The key advantage of an AI-powered chatbot is that it is able to learn a lot about its users and can apply knowledge effectively with little intervention.

Wrapping Up

AI-powered chatbots are becoming an essential part of the workplace technology, and brands that have already embraced them have an advantage over those that have yet to make moves toward automation, AI, or both.

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