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Conversational AI platforms employ natural abilities to understand language to enable human-like conversations using voice, text, touch, or even gesture input. They are able to provide artificial intelligence models required to build intelligent bots that meet various business requirements.

What can Conversational AI be able to do for your company?

Conversational AI platforms are able to build a range of conversational interfaces - with capabilities to handle complex processes , to simple if-else loops that help users navigate through a flowchart. While conversational AI will give you an enormous competitive advantage as well as better financial returns but it's not just about profit margins. The decision to adopt Conversation AI must be based on well-defined goals and goals.

Classified as a deployment

Deeply integrated in information systems, conversational AI platforms are able to communicate with most channels such as voice interfaces as well as text messaging, social media and websites. It is possible to deploy Conversational AI solutions on your premises or in the cloud, hybrid or both, based on the nature of your company. Visit here: aisera.com/ for details.

On-premise deployment - To provide greater security

On-premise deployment of AI service desk ensures overall control over security measures and gives you the flexibility to permit access or block anyone from accessing your data. This type of model is utilized by companies that employ proprietary technology and have their own data centers. This model permits customization and integration of the software to existing workflows. However, the deployment of on-premise Conversational AI has some limitations, particularly integration with popular third-party software and applications.

Cloud deployment - More flexibility and lower cost

Conversational AI deployed on the cloud offers a lot of flexibility and is relatively less expensive than on-premise deployment. In this way, businesses aren't required to maintain servers in-house. This also means that businesses have continual upgrades in the solution and access to machine-learning APIs that are pre-built instead of creating their own.

Hybrid deployment - For seamless integration

Hybrid-cloud can be another method to deploy Conversational artificial intelligence. Production infrastructure is on-premise, whereas processes such as Conversational AI-training and analytics are done on the cloud. This allows seamless transfer of applications between cloud and on-premise infrastructures. This gives you more freedom on the infrastructure side and gives control over conversational AI. You can locate best AI platform at Aisera

Sorted by use case

The engine and models that the platform uses are another important aspect. These vendors provide everything from data science platforms that include the ability to learn to use them to create tools to optimize advertising campaigns. This vendor landscape without an organized structure could make it difficult for users of the enterprise as well as the Conversational AI implementers. We can arrange the vendor landscape according to Conversation AI's vast applicability.

Platforms with specific functions

Vendors offer conversationsal AI platforms that do not target a particular industry or class problem. They offer operations intelligence predictive analytics, decision support, virtual assistants (including voice assistants) as well as intelligent document processing, and task assistant models of every kind.

Platforms tailored to the specific sector

Vendors offer platforms that provide AI and cognitive models that are adapted to the specific needs of industry. These Conversational AI platforms blend AI and cognitive technologies with deep knowledge of the industry and AI to address specific industry issues. In this particular category, the AI vendor classification is very diverse, with dozens of different classifications and distinctions. These solutions can be used in various industries, including health, finance and insurance. It includes sales and marketing, cybersecurity as well as physical security, sales and marketing as well as news and content production as well as education and knowledge management.