Watson Assistant is an enterprise artificial intelligence (AI) assistant that helps businesses enhance brand loyalty and transform customer experience. The solution gathers data and insights from customer engagements, then turns learnings into customised experiences, whilst keeping all data private and secure. Using Watson Assistant, developers and service providers can collaborate with clients, large and small, to build a conversation AI solution for their own unique needs. Whether it's an AI assistant tailored to anticipate the needs of drivers to provide a customised in-car experience, or one to provide a differentiated guest experience at a hotel, there are no limitations to what you can do. Get your 1-year free trial of Watson Assistant to start building your own AI assistant today.
Google on Monday said that it's acquiring the Sunnyvale, Calif.-based startup API.AI, continuing its investment in machine learning technologies that enable natural language interfaces. Terms of the deal were not disclosed. "API.AI has a proven track record for helping developers design, build and continuously improve their conversational interfaces," Google vice president of engineering Scott Huffman wrote in a blog post. More than 60,000 developers are using API.AI to build conversational experiences for Slack, Facebook Messenger, Kik and other environments, he noted. API.AI also created Assistant, its own leading conversational assistant app with more than 20 million users.
We are pleased to announce that in "The Forrester New Wave: Conversational Computing Platforms, Q2 2018," IBM Watson Assistant is named as a Leader in conversational computing. It has become increasingly important for businesses to build engaging interactions that deliver value to their customers, and IBM is proud to offer technologies that help developers and enterprises enhance those experiences. The report evaluated the most significant conversational computing platforms, diving into each vendor's current offering and strategy and including customer feedback. IBM was cited for its developer-friendly tools and enterprise expertise requirements, which give developers access to the tools and technologies they need while providing industry and enterprise support for their businesses. Our customers also appreciated IBM's thorough understanding of enterprise requirements and Watson Assistant's readiness for integration into a broader architecture.
Acobot LLC, an artificial intelligence startup, announced a new release of its artificial intelligence Aco, featuring the capability of self-learning from free-form text such as web pages and creating conversational AI chatbots, which are ready to work as virtual agents for customer support automation, without any further training by a human. Conversational AI and chatbots are often mentioned as today and tomorrow in the tech circles. For businesses, the efficiency and cost savings derived from the chatbot's interacting with customers is attractive. As a result, more and more businesses include a chatbot with their website in the recent years. However, lacking in natural language processing (NLP) support, most of those chatbots only accept clicks or match answers by keyword, resulting in poor performance.
We have an omnichannel platform for building conversational solutions that leverages machine learning (ML) to constantly improve conversational dictionaries and build an enriched, fluent, and natural correspondence using any device whilst maximizing the user's communication. But why is machine learning needed for conversational apps, and how we use it? The success (and failure) of conversational communications lies in the level of pre-configured conversation. The more fluent, natural, broad, enriched, and flexible the conversation between the users and the device is, the better chances they will continue to communicate using this and similar channels. TheBrain creates a continuous feedback and learning cycle between businesses and end-users that grows independently based on market needs.