Conversational AI is a type of artificial intelligence that facilitates the human like conversation between a human and a software system in real time. It is a piece of software that a person can talk to, like chatbot, social messaging app, interactive agent, or smart device. These applications enable users to ask questions, get opinions, find support, or complete tasks remotely. Conversational systems are powered by a conversational engine named NLP (Natural Language Processing, a branch of AI that deals with linguistic and conversational cognitive science). They make use of large volumes of data processed with machine learning, and natural language processing to aid imitate human interactions, recognizing speech and text inputs and translating their meanings in different languages.
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Over the past few years, we've all encountered "Let's chat!" buttons on websites that promise a quick, helpful customer service experience. But heavily hyped AI-driven chatbots, an important part of the customer experience mix since 2016, have also proven to be a mixed bag. Consumers found many bot interactions disappointing and time-consuming. Meanwhile, enterprises often needed to provide far more costly care and feeding of chatbots than expected.
Intended for executive leadership who are looking to better understand the implications of conversational business technologies, and need to decide where to focus time and investment in conversational interfaces. Gartner predicts that by 2019, virtual personal assistants "will have changed the way users interact with devices and become universally accepted as part of everyday life." For this report, Altimeter interviewed 24 enterprise companies, technology innovators, and other experts to gauge the potential risks and opportunities of conversational interfaces. We interviewed industry leaders to identify use cases, design principles, and strategic implications for customer experience, business models, brand strategy, and innovation. Our goal, and a focus of this report, is to help business leaders better understand the implications of conversational interfaces so they can make informed decisions about how to leverage this technology.
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Digital assistants like Siri and Cortana do utilize traditional search engines, but only when necessary to find information. The key to optimizing in this new format is to make sure your business information is easily accessible to these assistants, rather than trying to funnel people to your site specifically. Search engines are evolving in strange new ways. Mobile searches have overtaken desktop searches (at long last), and competitors like Bing and Yahoo are growing more and more like Google every day, unifying the capacity of every major search brand. As if that weren't enough, a wave of digital assistants like Siri, Google Now, and Cortana have begun to emerge to redefine the search process -- rather than opening a browser window, going to a search engine site, and plugging in an entry only to wade through a string of possible results, users can now use conversational commands and queries to engage with a human-like interface and be met with an almost immediate answer.