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The Evolution of Chatbot Software: The Introduction of Artificial Intelligence

Chatbot software has come a long way since it first appeared in 1966. Over the following decades, scientists continued to pack additional functionality into chatbots. In 1988, artificial intelligence (AI) was added to the mix with the construction of a bot called Jabberwacky. In the ensuing years, chatbots were incorporated into instant messaging services and on all kinds of devices, with popular services like Siri and Alexa making chatbots mainstream.

Fast forward to today, and there are all sorts of chatbots on the market. We interact with chatbots when we have customer support issues, when we’re looking for specific inventory at an e-commerce shop, and when we need a status update on an order. There are even chatbot use cases for higher education institutions, government agencies, and healthcare providers.

Although chatbots can have a tremendous impact on your operations, not all chatbots are created equal. Keep reading to learn more about the evolution of chatbot updates and the critical role that artificial intelligence plays in the chatbot experience.

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How have chatbot updates changed over time?

Many folks are under the impression that chatbots require no work, and you simply deploy one, sit back, and start measuring productivity increases.

Unfortunately, that’s not the case.

Bots need training—just like employees. That said, it’s considerably more efficient to train a bot than it is to train a new hire. It might take as long as a year before a new employee is fully productive, whereas leading chatbot solutions can be trained in a matter of minutes.

If a bot only knows how to answer five questions, it will have a limited impact compared to a bot that can answer 5,000. However, some bots make it difficult to update questions when there’s variable information, such as dates and policies.

In other words, without the right bot in place, updating chatbots can become a big hassle.

The good news is that there’s a sweet spot when it comes to the amount of time it takes to update a bot. If you’re looking to enhance your chatbot to make it more useful but aren’t looking to spend hours, days, or weeks on it, artificial intelligence can be particularly helpful.

How is AI transforming the chatbot experience?

Leading chatbot software makes updating your chatbots a breeze.

For example, Ivy does all the initial work required to create custom bots for businesses like yours, and we power it without training data so the chatbot works effectively on day one. After that, our AI-powered deep learning algorithm scans your content and inputs and builds your chatbots’ brain in a few minutes. From there, you will have the flexibility and autonomy needed to add more knowledge and make changes to the bot.

Once it’s set up, our chatbot software can be self-building and self-updating. The bots can learn automatically from inputs you select—including content on your website, calendars, and third-party software. As a result, you can create a custom chatbot that thinks exactly the way you do. And whenever new content is added to the mix, the chatbot will automatically consume it and update on its own.

Many people think that bots and automation will ultimately put people out of work. On the contrary: Bots create a tremendous opportunity for businesses across all sectors to automate away tedious, repetitive tasks—freeing their teams to focus on high-value work.

Ready to try chatbot software today?

Leading chatbot technology has the power to help your business get to the next level by delivering more value to customers and increasing team productivity.

To learn more about the easiest way to incorporate chatbots into your workflows and delight your users along the way, request a demo of Ivy today.



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