From overwhelming chatbot success to looming disappointment
Posted: Sat Dec 21, 2024 3:36 am
How did the chatbot hype start?
Where we previously saw many opportunities and possibilities in the field of chatbots and artificial intelligence, according to Gartner the expectation is now that the hype has passed its peak and will decrease. Now that we are almost leaving this 'Peak of Inflated Expectations', we are reaching the third phase of the cycle . This is the phase in which we see that our high expectations need to be somewhat nuanced ('Trough of Disillusionment') and we need to learn from practice. So that we can ultimately prepare ourselves to make the technology productive and yield returns. Time to put on our critical glasses!
But where hypes often show enormous growth in a short period of time, we have actually known chatbots for much longer…
Chatbots are not new
We have known chatbots for years, but it took a while before we could make them 'smart'. In 1966 it started with Eliza, the chatbot that was the first proof of superficial contact between man and machine. Later, in the era of MSN, they were indispensable. Think for example of the chatbot of Hi/KPN , Chatman, that started conversations with you about everything and anything. And there are many more bots that have had an impact on the development of chatbot technology, as we know it today.
These bots were not 'smart' in any way. After all, they responded with standard answers to messages, which were recognized based on keywords . In the meantime, the development of technology has brazil telegram data 30 million accelerated in recent years. Our chatbots are becoming smarter and virtual assistants, such as Google Assistant and Alexa, are becoming increasingly accessible to consumers.
Due to the technological possibilities of the past years, chatbots grew like mushrooms. Anyone could develop a chatbot. We saw many applications via Facebook Messenger, when Facebook opened the platform to developers of chatbots.
Did we cheer too soon? Because let's be honest, the applications were not successful and were mainly experienced as annoying by users. These bots are programmed to recognize certain keywords, but do not 'understand' the customer. Sometimes the customer ends up in an endless loop that does not provide the answer to the question asked. Research even shows that 70% of all bots on Facebook are not able to successfully perform a simple task.
Not because it can, but because it must
But is it now time to throw in the towel and give up on the promised success of chatbots? Absolutely not. The hype cycle has passed its peak, but now is the time to learn from the successes and mistakes of the past. We are building a stable future for chatbots within our processes.
Where we previously saw many opportunities and possibilities in the field of chatbots and artificial intelligence, according to Gartner the expectation is now that the hype has passed its peak and will decrease. Now that we are almost leaving this 'Peak of Inflated Expectations', we are reaching the third phase of the cycle . This is the phase in which we see that our high expectations need to be somewhat nuanced ('Trough of Disillusionment') and we need to learn from practice. So that we can ultimately prepare ourselves to make the technology productive and yield returns. Time to put on our critical glasses!
But where hypes often show enormous growth in a short period of time, we have actually known chatbots for much longer…
Chatbots are not new
We have known chatbots for years, but it took a while before we could make them 'smart'. In 1966 it started with Eliza, the chatbot that was the first proof of superficial contact between man and machine. Later, in the era of MSN, they were indispensable. Think for example of the chatbot of Hi/KPN , Chatman, that started conversations with you about everything and anything. And there are many more bots that have had an impact on the development of chatbot technology, as we know it today.
These bots were not 'smart' in any way. After all, they responded with standard answers to messages, which were recognized based on keywords . In the meantime, the development of technology has brazil telegram data 30 million accelerated in recent years. Our chatbots are becoming smarter and virtual assistants, such as Google Assistant and Alexa, are becoming increasingly accessible to consumers.
Due to the technological possibilities of the past years, chatbots grew like mushrooms. Anyone could develop a chatbot. We saw many applications via Facebook Messenger, when Facebook opened the platform to developers of chatbots.
Did we cheer too soon? Because let's be honest, the applications were not successful and were mainly experienced as annoying by users. These bots are programmed to recognize certain keywords, but do not 'understand' the customer. Sometimes the customer ends up in an endless loop that does not provide the answer to the question asked. Research even shows that 70% of all bots on Facebook are not able to successfully perform a simple task.
Not because it can, but because it must
But is it now time to throw in the towel and give up on the promised success of chatbots? Absolutely not. The hype cycle has passed its peak, but now is the time to learn from the successes and mistakes of the past. We are building a stable future for chatbots within our processes.