Artificial intelligence and Chatbots

 


AI chatbots are absolutely fascinating – and they’re right on the front lines of artificial intelligence and human intelligence. Today’s AI chatbots can do it all, from helping you order a pizza, to guiding you through a complex B2B sales process.



But different kinds of artificial intelligence bots are built to do different kinds of things. And that can get confusing. So I thought it was high time to highlight the difference between traditional chatbots – built to collect leads and nurture prospects – and AI chatbots.

AI chatbots can understand language outside of a set of pre-programmed commands and continue learning based on the inputs it receives. They can also make changes based on patterns and become smarter over time as they experience new situations. This means AI bots can be applied to a range of uses – from sentiment analysis to making predictions about what a visitor is looking for on your website.

 

People often use terms like chatbot, virtual assistant, automation and AI interchangeably.

But, there’s a key difference between AI chatbots and just plain chatbots – and at its core, that difference boils down to understanding the difference between artificial intelligence and automation.

Drift’s chatbot software follows rules established in advance. In other words, they stick to the script, so that sales and marketing teams can answer the exact questions needed to sell to their audience.

If you look back at our playbooks, you’ll get a sense of how this process works. 

7 Benefits of Chatbots for Your Business

  • Keeping Up with the Trends: Being Present on Messaging Platforms. ...
  • Improved Customer Service. ...
  • Increased Customer Engagement. ...
  • Monitoring Consumer Data & Gaining Insights. ...
  • Better Lead Generation, Qualification and Nurturing. ...
  • Easier Approach to Global Markets. ...
  • Cost Savings.

Chatbots are artificial intelligence systems that we interact with via text or voice interface. Those interactions can be straightforward, like asking a bot about the weather report, or more complex, like having a bot troubleshoot a problem with your internet service. Here are some tutorials to get you started:

·       If you are a beginner, read articles on Chatbot Magazine or start with “The Complete Guide To Chatbots — Development To Promotions.”

·       Prepare a chatbot conversation — “How to design a conversation for chatbot?” and “Design Framework for Chatbots.”

·       For building a chatbot, read “The Complete Guide To Bot Frameworks” and “14 most powerful platforms to build a chatbot.”

·       For business — 100 Best Bots For Brands & Businesses

·       For making an AI based intelligent chatbot — “How to make chatbot intelligent?

·       NLP & Machine Learning Tutorial with Code & Github: “Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot

We have written this answer for a generic chatbot which can be published on any platform such as Facebook, Kik, Slack, Telegram or website.

The following steps will be helpful when developing a chatbot:

1.     Identify the opportunities for an AI-based chatbot

2.     Understanding what are the goals of building a chatbot

3.     Designing a chatbot conversation

4.     Building a chatbot using frameworks or development (non-coding) platforms

 

To create your bot using the ChatBot framework, you need to have an active ChatBot account. To create your account, visit chatbot.com and sign up as a new user. 

ChatBot offers a free 7-day trial, so you can build your bot during that time. You can extend your trial by an extra 7 days by completing a short onboarding lesson. 

 

How to test your chatbot 

It looks like you’ve built a lead generation bot. Well done! Let’s look at it in action. ChatBot’s Visual Builder enables you to test your story from within the application. This way, you can detect mistakes much faster and correct them before you show your chatbot to customers.

 

Comments

Popular posts from this blog

Li-Fi Technology

The Intersection Of ML and IoT