Top 10 most popular conversational AI platforms in 2023
Here are some of the top conversational artificial intelligence (AI) platforms of 2023 that enable engaging and intelligent interactions with customers or users
Conversational AI platforms use natural Language processing (NLP) and machine learning (ML) enable natural and engaging interactions between humans and machines. Conversational AI platforms can be used to create chatbots, virtual assistants, voice assistants, and other applications that can understand and respond to human queries and commands.
This article will discuss the top ten conversational artificial intelligence platforms of 2023, assessing their popularity, functionality, and innovation. These platforms include:
Google Cloud Conversational AI
This is a comprehensive set of products and services that help developers and enterprises build, deploy and manage conversational AI applications. It includes Dialogflow CX, a developer platform for building advanced conversational agents; Conversational AI on Gen App Builder, a tool for creating generative AI-powered chatbots and virtual agents; Contact Center AI, A solution to enhance customer service with conversational AI; and Speech-to-Text and Text-to-Speech APIs for converting speech and text input and output.
IBM Watson Assistant
This cloud-based platform allows users to create conversational artificial intelligence applications without coding. It uses natural language understanding (NLU) and machine learning (ML) to analyze and generate responses. It also offers pre-built content and integration with various channels and platforms. Users can also take advantage of IBM Watson Discovery, a service that enables users to search and analyze data from a variety of sources.
Amazon Lex
The service enables users to build conversational interfaces using speech and text. It uses the same technology as the popular voice assistant Amazon Alexa. It supports automatic speech recognition (ASR) and natural language understanding (NLU) to process user input and intent. There is also integration with Amazon Comprehend, a service that provides natural language processing (NLP) capabilities.
Microsoft Bot Framework
This framework helps users build, test, deploy and manage conversational artificial intelligence applications across multiple channels and devices. It supports multiple languages and frameworks, including C#, Python, JavaScript and .NET. In addition, it is integrated with Microsoft Azure Cognitive Services, a set of APIs that provide artificial intelligence capabilities such as speech recognition, natural language processing, computer vision, etc.
Rasa
The open source platform allows users Build custom conversational AI applications using Python. It utilizes natural language understanding (NLU) and dialogue management (DM) to handle complex conversations. Additionally, it supports emotional assistants capable of remembering previous interactions and following up on user goals
Nuance
The platform provides conversational AI solutions for various industries and use cases. It offers products such as Nuance Mix, a tool for creating voice and chat applications; Nuance Gatekeeper, a biometric authentication solution; Nuance Loop, a personalized customer engagement solution; and Nuance Dragon, a speech recognition and transcription solution plan.
SAP Conversational Artificial Intelligence
This platform helps users build intelligent chatbots using natural language processing (NLP) and machine learning (ML). It provides intent detection, entity extraction, sentiment analysis, conversation management and analysis, and more. In addition, it can be integrated with SAP products and services such as SAP Cloud Platform, SAP S/4HANA, SAP C/4HANA, etc.
Oracle Digital Assistant
The platform allows users to create Digital assistants that interact with users via voice or text. It uses natural language understanding (NLU) and machine learning (ML) to understand user input and generate appropriate responses. Additionally, it supports multiple skills and independent chatbots that can handle specific tasks or domains
Kore.ai
This is a platform that provides end-to-end conversational AI solutions to enterprises . It provides natural language processing (NLP), dialogue management, knowledge management, sentiment analysis, speech recognition, text-to-speech synthesis, analytics, security and compliance, and also supports multiple channels and integration with various systems and platforms.
Haptik
The platform helps users build conversational AI applications for various use cases, such as customer service, lead generation, feedback collection, reservations, food ordering, etc. It uses natural language processing (NLP) and machine learning (ML) to understand user input and generate responses, and also provides pre-built templates, widgets, and analysis tools.
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