What Is Conversational AI And Why Does It Matter?

Conversational AI applications have become increasingly popular over the last few years, with better access to technologies such as machine learning and NLU improving their capabilities and delivering even greater benefits to organisations. But as with any new ‘AI’ technology, it is important to understand what the application really is to move beyond the hype.

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Creating a Common Language with RPA & Conversational AI

RPA has seen a huge surge in adoption across a wide variety of industries, with many organisations already reaping the benefits from automating their business processes. However, the technical nature of RPA and Intelligent Automation means that these transformational projects have often been led by technology-focused roles from the Centre of Excellence (CoE) or IT Teams.

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Glossary of Terms for Conversational AI

Technology can be confusing at the best of times, with a myriad of terms and acronyms to get your head around. The below is a short guide giving some user-friendly insight into some of the most common terms used within the Conversational AI and Intelligent Automation industry.

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How to get started with Conversational AI

Conversational AI has been on the radar for many organisations over the last few years. With such demand, it is important for organisations to understand what exactly Conversational AI is and how to implement it to achieve transformative efficiencies and the outcomes desired.

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Defining Conversational AI

The term Conversational AI is a fairly new one, with many new solutions, including Humley’s Digital Assistant, coming to the market in the last few years. But what exactly is Conversational AI and why is it so important for organisations?

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