Semantic Machines solve conversational artificial intelligence. The conversational artificial intelligence interfaces by Semantic Machines will soon enable a natural communication between people and computers. Semantic Machines vision is paving way for conversational computing through development of fundamental artificial intelligence technology. Semantic Machines is currently developing language independent technology platform. The platform will enable computers collaborate, communicate, accomplish tasks and understand goals. Semantic Machines are developing the conversation engine. The conversation engine will extract semantic intent such as text or voice from a natural input. The engine then will spawn a self updating framework that will manage the content and end…
3. Personalizing the customer experience: Chatbots excel at collecting customer data from support interactions. After all, it’s the computer that’s doing the work. The advantage is that live support agents can use this information to personalize their interactions with customers. Devine says chatbots serve as virtual assistants that can feed customer data to the agent in real time, so the agent can give the customer good information and solutions based on current needs as well as past interactions with the company.
Amazon Lex is a service for building conversational interfaces into any application using voice and text. Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon Alexa are now available to any developer, enabling you to quickly and easily build sophisticated, natural language, conversational bots (“chatbots”). Speech recognition and natural language understanding are some of the most challenging problems to solve in computer science, requiring sophisticated deep learning algorithms to be trained on massive amounts of data and infrastructure. Amazon Lex democratizes these deep learning technologies by putting the power of Amazon Alexa within reach of all developers. Harnessing these technologies, Amazon Lex enables you to define entirely new categories of products made possible through conversational interfaces. As a fully managed service, Amazon Lex scales automatically, so you don’t need to worry about managing infrastructure. With Amazon Lex, you pay only for what you use. There are no upfront commitments or minimum fees.
Pros: I like the quickness with which I am able to create a chatbot on Botengine. I also think that Botengine is well priced and affordable for small teams like ours. Most important ,is the fact that the chatbot we created on Botengine ,has been reliable and met our expectation by reducing the amount of customer query our customer care department agents have to respond to each day.
IBM Watson™ Assistant is highly flexible, allowing you to deploy small, focused solutions or to scale to enterprise wide deployments. With simplified tooling, it allows collaboration between business SMEs and developers to build out conversational solutions and advanced dialog flows, without needing to be an expert in machine learning. The premium and dedicated plans provide enterprise grade security and support; such as data isolation, end to end encryption and support for non-regulated PII data.
I liked the clarity of Joyable’s approach: It’s intended to only be eight weeks long, so there’s no pressure to continue after it ends (the anxious people pleaser in me likes knowing how much time I’m signing up for and how easy it is to cancel.) And each week, a new themed course is “unlocked,” allowing me the chance to tackle a new set of cognitive-behavior related challenges.
Reply is one of the best AI chatbot platforms. It is an enterprise level bot-building and management platform. And it enables B2C communications at scale. Their visual bot builder makes it easy to build bots. The dashboard has built-in CRM, machine learning, and real-time insights to make smarter and faster bots. You can expand bot functionalities across the whole customer experience.