What enterprise leaders should know about ChatGPT hype for the AI Chatbot Market?

On Dec 21st, Google’s management reportedly issued a ‘code red’ amid the rising popularity of the ChatGPT AI. Source

Google thinks one-day ChatGPT will take over their Google search engine market. Undoubtedly, the beta version of ChatGPT itself has much more than average intelligence to support humans.

Let’s simplify this for enterprise AI chatbot customers with real-time examples:

ChatGPT Vs Google Search, example of “asking for a python code to create a website”

Response from ChatGPT:

ChatGPT (Beta version)

ChatGPT is capable of providing the code to create a website along with instructions on how to run and host the website. As a Google user, this is beyond our expectations.

Response from Google Search:

Google Search

Google just links to several web pages that have information about website creation.

The developing expectations among AI Chatbot customers?

After knowing the power of ChatGPT, many AI Chatbot leaders in the market started asking these questions to their chatbot vendors:

• Why do you need to create several use cases in our chatbot?
• Why do you need to train our chatbot separately for every use case?
• Why is it taking weeks to enable new functionalities in our chatbot?
• Why can’t our chatbot support all our employee questions?

In short, enterprise leaders want their AI chatbot to perform like ChatGPT i.e., in a more intelligent way and without any use case configurations or training.

ChatGPT Vs Enterprise AI Chatbot, example: A very common enterprise use case is “An employee wants to replace his monitor”.

Response from ChatGPT:

ChatGPT (Beta version)

Here, ChatGPT intelligently provides us with some instructions starting from diagnosing the monitor problem to disposing of the old monitors, but it couldn’t fulfill the employee’s need. This is not what enterprise leaders want their employees to go through with their AI Chatbot.

The Takeaway:

For enterprise functions, the Intelligent AI Chatbot means, it should

• Know the employee’s state
• Understand what employees want to do
• What is the appropriate backend system or people in the enterprise who can help the employee?
• The process to resolve employee problems
• On top of all, AI Chatbots should proactively identify the areas that require improvements for employees.

These will be achieved only by

1. Configuring enterprise-specific use cases
2. Chatbot training on enterprise data and process
3. Exclusive integration with enterprise backend system

That said, the ChatGPT is yet to go several miles to support enterprise functions out of the box, and enterprise leaders should understand the capability of ChatGPT for their day-to-day business and IT domain functions.