Article 1
Chatbots fail to deliver on their potential. Gartner expects that 40% of first-generation chatbot applications launched in 2018 will have been abandoned by 2020.
A lack of training data is a major problem for conversational AI chatbot applications. 81% of respondents said that the process of training AI with data was more difficult than they expected.
The problem is that the questions are not phrased in the same way. This means that the answers are not consistent. This is a problem that needs to be addressed.
Most chatbot development technology requires a great deal of effort and often complete rebuilds for each new language and channel. These solutions cannot reuse assets from the original build, nor can they surface the same solution through multiple devices and services.
Regulations Protecting Data is at the heart of conversational AI. Data is used to personalize the conversation, improve the system and deliver actionable insight to the business. Many chatbot technologies restrict access to the conversational data generated.
https://medium.com/voice-tech-podcast/why-chatbots-fail-limitations-of-chatbots-7f291c4df83f
Article 2
Chatbots are one of the most complex application of Artificial Intelligence. Despite so much of Chatbot blather, it was hard to find a bot that is actually a good product. Let us dig into why no Chatbot received worldwide recognition.
- There are certain factors that decide on the intelligence level of a bot. The traits include whether or not the bot is smart enough to get better with time. If you are able to ask anything and it offers solutions spontaneously. Facebook faced a massive failure with their AI bots.
- Most Chatbots miss out on the minute details and if executed well they might lead to huge business benefits. For apps, the interface is kept simpler where it is much of tap and click but with Chatbots since most of them are not yet voice-enabled, the user literally has to type everything instead of a continued conversation.
- Chatbots are not acute enough to understand the context every time. They are incompetent to decipher when users mix two or more languages. They generally fail to read between the lines and harm the entire user experience.
- With a gazillion of bots available across devices, they are a very few that leave a mark. The conversations totally lack personality and are robotic and clunky.
- Lack of Transparency is one of the main reasons why Chatbots are becoming more popular in the modern world.
- The major reason why Chatbots fail to deliver is the dire need to do everything at once. Bots fail to understand that they can quite never replicate the irrational aspects of human behavior. It will require immense engineering effort to figure out everything.
https://www.newgenapps.com/blog/why-chatbots-fail-to-deliver/
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