There's apparently a lot to learn to make those chatbots efficient. Here's a few items you should keep an eye on, according to our readers.
Context is everything. Believe me.
We created this pretty useful chatbot in just a few minutes and less than 10 categories but there’s still ways it can be improved.
Pushing the buttons of AI is not as simple as it sounds.
If we prioritize natural language understanding, we always have the option to augment the experience later where it makes sense. Although this is more difficult and time consuming to accomplish, we have to pick up a shovel and start digging.
And 3 reasons why sooner than later, your chatbot won't need your sales team.
In case your customers queries have to be escalated to a human, a bot can still do preliminary information gathering and sharing. They can find out who the customer is and what they need from the business, and similarly inform the question what the business does and how it may satisfy their demand.
Can't humans just shut up?
If Google Duplex is any indication, we’ll soon have robots that will engage with humans the way other humans do. While enterprises have tried all these years to get computers to solve problems or challenges that human beings face, it’s the humans who have had to adjust to the various shortcomings of algorithms or computer systems.
What's keeping your users from engaging with your chatbots? Find out.
Conversational AI tools such as chatbots, sentiment analysis and auto information extraction presents huge opportunity for businesses, enterprises, and organizations to improve their efficiency in external and internal customer engagement. Despite the numerous benefits offered by AI conversational tools, its mainstream adoption is not yet prominent due to its inaccuracy and high costs in using it with the following limitations: ...