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How to Design a Great UX for Your Chatbot

So your customer-facing teams are inundated with inquiries that are repetitive and mundane, draining employee motivation and resources. You get an idea, “Let’s create a chatbot!” You do. But people don’t use it. The experience feels a little worse than a search engine and a little better than a static FAQ page. What went wrong? In this article, I uncover some simple tips that can drastically improve your content-retrieving chatbot experience.

At SAP Conversational AI, we have learned that as chatbot developers, we need to start honing our instincts when it comes to using chatbots as a solution to our problems.

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Most Common Mistakes to Avoid When Building a Chatbot

Building a bot is a rewarding experience: creating your own artificial intelligence is amazing! However, it can be a challenge, and there are mistakes to avoid. In this piece, we’re going to walk you through the most common or damaging mistakes new bot builders make in each phase of bot building: conception, training, building, connection, user experience, and maintenance. Let’s roll!

Conception

Building a bot doesn’t start at the first line of code. It starts much earlier, during the conception.

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Connect Your Own AI Chatbot to Amazon Alexa

More and more chatbots are being created every day, basically covering every automatable use case. Most of these chatbots are textual, and we can interact with them on Messenger, SMS, website chat, etc. They’re very accessible and easy to use, but I’m sure you’d love to be able to speak to them, as well as write to them.

Sometimes, speaking is the most natural and easiest way to interact, say, when you’re at home cooking or reading. I’ve got some news for you: you can build your own Alexa bot backed by SAP Conversational AI. We made this integration very easy, so let’s dive in, step-by-step.Image title

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How to Control Your Web App With an Integrated AI Chatbot

Conversational interfaces are gaining in popularity, especially for transacting with seemingly opaque backend systems. For example, we can deploy a chatbot to walk a customer through a troubleshooting process and create a ticket if they require further assistance, all without the customer having to know the ticket creation process. This allows for a more intuitive experience for your customer, increasing customer satisfaction, while also improving efficiency by freeing employees from handling the classification and routing of tickets.

Conversational AI can handle this out of the box, but what if your users want to be able to interact with your front-end application? For example, it might be nice for your user to navigate to a certain page within your website without having to find the exact link or allow your user to apply a complex filter to a list of products without having to click around menus. Though our webchat can be embedded on any website, it does not have the contextual awareness of the UI necessary for these sorts of interactions. To demonstrate how we can accomplish this contextual awareness, we will create a simple map application with an embedded bot that has the ability to move the map and zoom in or out:

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How NLP Is Teaching Computers the Meaning of Words

Humans are good at conversations. We understand what someone means when they say something and can understand when a word like “bank” is used in the context of a financial institute or a river bank. We use the power of logical, linguistic, emotional reasoning and understanding in order to respond during conversations.

In order to get machines to truly understand natural language like we do, our first task is to teach them the meaning of words — a task that is easier said than done. The past couple of years has seen significant progress in this field.

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Build Your First Chatbot With SAP Conversational AI

When you’re a beginner bot builder learning about natural language understanding, conversation flows and messaging platforms can feel a bit overwhelming. In this guide, I’m going to help you build your first bot on SAP Conversational AI. By the end of this tutorial, you will have a functional chatbot, and you will know how to:

  • Make your bot understand human language
  • Build a conversation flow
  • Deploy your bot to an external channel (Facebook Messenger, Twitter, etc.)

With SAP Conversational AI, you can easily design complex conversational flows fueled by a powerful artificial intelligence.

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4 Chatbots Security Measures You Absolutely Need to Consider

It will come as no surprise that chatbots are everywhere and they are here to stay! In fact, 80 percent of companies want to have some type of chatbot implemented by 2020.

Chatbots are our friendly assistants that make life easier by helping us book flights, appointments, shop, get answers to our questions, etc. They also allow companies to lower the cost in customer service and have their customer support agents attending to more complex situations.

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How AI-Powered Chatbots Are Unlocking Business Value Today

Since the term “AI” was first coined by cognitive scientist Richard McCarthy and his team in preparation for the 1956 Dartmouth AI Conference, machines that can demonstrate human-like intelligence have been the holy grail of the artificial intelligence field.

AI has certainly endured some rough times; falling well short of the hype popularized by media in addition to the unrealistic expectations that were created and not met by the reality of AI’s narrow capabilities. Along with the underestimation of AI project costs, this of all contributed to busts and disappointments in the field. Despite these past disappointments, the recent convergence of technology improvements in the fields of computing power, automation, hardware capabilities, cloud, big data, and advanced analytics have brought AI starkly back to the forefront of research and business today.