Ashu Dubey is the Co-founder and CEO of Alhena where he is building transformative customer experiences using Agentic AI. Before Alhena, he drove product growth at LinkedIn.
The disadvantages of chatbots are real. Customers get trapped in loops, questions go unanswered, and the experience feels robotic. Here are 7 key disadvantages and how generative AI fixes each one.
While GPT-3.5 based chatbots are functional chatbots, they fall significantly short of chatbots that use GPT-4. Businesses that require the highest level of accuracy in the chatbot should turn to GPT-4 based chatbots.
Chatbots are typically older and provide a worse user experience. Conversational AI chatbots, especially those that use generative AI, are better user experiences. They can understand extremely complex questions, provide highly relevant answers, and detect/respond in 100 different languages.
Understanding the different types of chatbots requires exploring how AI has evolved. Generative AI has dramatically improved chatbots' ability to understand complex questions and converse naturally, and generative AI chatbots will quickly displace older generations of chatbots.
Conversational AI handles dialog and resolves tasks. Generative AI creates content from patterns. This guide compares both for e-commerce, explains where they converge, and introduces agentic AI as the next evolution.
Companies are rapidly adopting internal chatbots. These tools aid employees in diverse tasks, from data retrieval to onboarding, and ensure a more efficient, productive work environment.