Conversational AI is a form of technology that utilizes speech-based assistants and facilitates stronger interactions and greater engagement at scale across users and platforms. Conversational AI combines the speech-based technology, Natural Language Processing (NLP), and machine learning into a single platform to develop and build applications for any specific, as well as for multiple use-cases across verticals. These platforms are used by the developers to build conversational user interfaces, chatbots, and virtual assistants for a variety of use cases. Moreover, the conversational platform has a developer API, so that third parties can extend the platform with their own customizations and additions. 1. Micromarkets are defined as the further segments and subsegments of the global conversational AI market included in the report 2. Core competencies of the companies have been captured in terms of their key developments, key observations, and key strategies adopted by them to sustain their positions in the market
Conversational AI Software
Google’s Contact Center AI solutions offers the Google AI with contact center software that enhances the end user experience as well as operational efficacy. It’s rely on Google’s natural language understanding and speech capabilities to automate simple, common interactions, doing handoffs to live agents when needed. It provides real time recommendations to live agents.
Amazon offers LEX for developing conversational interfaces into range of application using voice and text. It uses machine learning features for speech recognition and conversion of speech to text and natural language understanding (NLU) to identify the intent of the text to develop application with engaging user experiences and conversational interactions. It can quickly develop natural language, conversational bots.
Microsoft’s Conversational AI tools can build, deploy, and manage intelligent bots that interact with users on real-time and connect with wide range of software’s. It can quickly get start with Microsoft Bot Builder software development kit (SDK) and its related tools, for a complete bot building experience. It allows developers to quickly add layers of sophistication to their bots by using the collection of Azure Cognitive Services that include Language Understanding, QnA, dialog, speech, vision knowledge, and much more.
Baidu offers Melody AI which is a AI powered conversational BOT especially designed for doctors and patients. It can be integrated with iOS and Android doctor applications which permits patients to communicate with doctors, book appointments or get health information. It is developed to converse with patients directly and gather data on their medical conditions in real time.
Nuance Conversational Interactive Voice Response (IVR) provides human‑like communications that let entities to self‑serve and successfully resolve issues within the IVR. It brings an intuitive service skill that anticipates the caller’s needs and enables them to interact with the system naturally, in their own words.
Creative Virtual offers virtual agents, chatbots and live chat to bring effective customer service and employee support. It integrates human intelligence with deep learning in a way that makes efficacy and certainty for organisation and customers. It hybrid method get together human curation of content, feedback loops, semantic matching, statistical self-learning, neural networks and user surveys in a way that permits solutions to constantly improve by providing control over the dependability of responses.
Oracle’s intelligent voice assistant conversational AI integrate with new applications by analysing enterprise and domain specific terminology on which open and consumer-oriented domain models are not trained on. Oracle Digital Assistant makes voice and user interactions more communicative by processing complex queries and deriving intelligence from all enterprise applications, such as ERP, CRM and HR systems to respond in the context to the request made.
SAP turn chats into actions and improve efficiency, commitment, and innovation of employees with machine learning chatbots. It automates customer retention, and revenue by through powerful chatbots designed for the enterprise. It also guides the user to the right page, answer FAQs, and perform simple tasks with AI chatbots that are fully integrated with a wide range of SAP solutions.
Teneo Fusion offers ultimate conversational AI experience for enterprise. It allows organizations to significantly improve the eminence of conversational AI systems, while taking control of the chatbot landscape and signifying clear business value within the organization. It permits enterprises to reconnect with their clients on a very personalized level using advanced conversational AI technology.
Conversica offers AVA.ai conversational platform that automate routine and highly valuable conversations with customers, at consistently high quality and scale. The platform has a robust security and privacy program that carefully considers data protection matters across Conversica’s suite of services.
Inbenta integrates enterprise-grade AI and deep learning with natural language processing engine to respond user queries with unmatched precision. It tailored the flow and paths of chat with the Dialog Manager and enhance chatbot by influencing other functionalities via Webhooks from CRM integrations and billing systems, to virtually any software.
Rulai offers a user-friendly chatbots experience which is powered by artificial intelligence. It’s advanced dialog manager technology handles context switching with proprietary Mixed Initiatives and Tasks Intelligence System (MITIS) technology, by allowing chatbots to do more than a single thread. It can detect and respond to multiple intents with the result of users having a more natural interactive experience.
Rasa offers the advanced set-up layer for conversational AI in order to develop the best text- and voice-based AI assistants. It is based on the research in NLU and dialog management. It can build customized components with higher accuracy on data sets. It learns from real time conversation instead of adding more rules to state machine.