![]() However, there is a right way to do things. Human-computer interaction via chatbots is a promising solution. ![]() With human operators, this is highly-labor intensive, expensive, and often impractical. Your customers want to use messaging to interact with your business, and they want communication lines open 24/7. It’s no surprise then that Ubisend’s 2016 Mobile Messaging Report found that 51% customers think businesses should be available 24/7. They want to be able to do things when they want. Users have access anytime, from anywhere. Third, the nature of mobile apps invites immediacy. In fact, a survey by BI Intelligence found that almost 60% of users between the ages of 18 and 55 have used chatbots. Second, the adoption rate for chatbots is already high. Offering a channel for them to interact with your brand in a way they prefer is only logical. And many prefer to interact with your business this way – 45% of consumers claim they would rather use messaging than email to contact a business, and almost 50% preferring messaging over phone ( Ubisend’s 2016 Mobile Messaging Report ). Your customers are already familiar and engaged with this medium. Messaging apps like WhatsApp are exhibiting some of the highest growth of any app category. Image by Sabrina Chowdhury via Flickr Chatbots and Human-Machine Interactions In Mobile Appsīefore I dive into Cognitive Services, I want to give context on why chatbots and human-machine interaction are important for building smarter, more engaging mobile apps.įirst, usage of messaging apps has surpassed usage of social media apps. Specifically, I will be discussing the Language Understanding Intelligent Service and the QnA Maker API, and how they can be used together to enhance your mobile app. This time, I will be focusing on Microsoft Azure’s Cognitive Services Language and Knowledge APIs in relation to chatbots and automated customer service in mobile apps. Due to advances in artificial intelligence, big data, and machine learning, this is becoming more easily possible. In other words, your customers want apps that are smart. ![]() Users want effortless interaction experiences that are catered to them and apps that understand intent with less input and fewer taps. I highlighted 3 APIs out of the many that are offered: Custom Decision Service, Content Moderator, and the Speaker Recognition API.Ī driving point behind my last article was that users now expect a higher standard of experience from mobile apps. In my last post, I introduced Microsoft Azure’s Cognitive Services suite and its potential to make mobile apps smarter, more engaging, and more contextually relevant for users.
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