Research Note: Key Components Of The Enterprise Conversational AI Market
Title: GartnorGroup's evaluation of the enterprise conversational AI market
Key components of the enterprise conversational AI market include:
Conversational AI Platforms: The core software platforms that enable the development, deployment, and management of intelligent virtual agents and chatbots for enterprises. Leading vendors include Amelia, Kore.ai, IBM Watson Assistant, Cognigy, and Google Dialogflow.
Natural Language Processing (NLP) and Understanding: Advanced NLP technologies that allow the conversational AI platforms to comprehend and interpret human language, understand user intent, and engage in natural, human-like dialogues.
Omnichannel Deployment: The ability for enterprises to deploy conversational AI across multiple communication channels, including web, mobile, messaging apps, voice assistants, and contact centers, providing consistent and convenient customer experiences.
Integration and Automation: Seamless integration of conversational AI platforms with other enterprise systems, databases, and business processes, enabling virtual agents to automate tasks, access relevant information, and orchestrate complex workflows.
Analytics and Optimization: Comprehensive analytics and reporting capabilities to monitor the performance, usage, and effectiveness of the conversational AI solutions, allowing enterprises to continuously optimize and improve their virtual agent deployments.
Industry-Specific Solutions: Pre-built conversational AI applications and templates tailored to the specific needs and use cases of different industries, such as banking, healthcare, retail, and telecommunications.
Low-Code/No-Code Development: Tools and interfaces that enable non-technical business users to design, build, and deploy conversational AI applications without extensive coding expertise.