Conversational AI Platforms employ natural language understanding capabilities that allow human-like conversations using the use of text input, voice input, input via touch, and gesture input. They can offer the artificial intelligence models required to build intelligent bots that meet different business needs.

What can Conversational AI help your business?

Conversational AI platforms can be utilized to create a variety of interfaces that can be used in conversation - from capabilities to handle complex procedures to simple if-else loops to help users navigate through an outline. Although any investment in conversational service automation is likely to yield significant competitive advantage and better financial returns, it is not all about profit margins. It is important to have clearly defined goals and goals when deciding whether Conversation AI will be implemented.

Classified as a deployment

Conversational AI platforms are fully integrated with information systems. They can communicate with all channels including voice interfaces, text messaging, as well as social media. Based on the nature of your business, you can choose how to implement Conversational AI solutions: on-premise, public cloud, or hybrid. Visit here: https://aisera.com/ for more information.

For tighter security, you can install on-premise

On-premise deployment of AI helpdesk provides total security and control. It also gives you the flexibility to allow access or restrict any person from accessing your data. In this model enterprises use a proprietary architecture and maintains its own data centers. This model permits customization as well as integration of the software to existing workflows. Installations on-premise of Conversational AI have some limitations, like integration with third-party software and applications.

Cloud deployments - Greater flexibility and lower costs

Conversational AI deployed on the cloud comes with a lot of flexibility and is considerably less expensive than on-premise deployment. In this model, enterprises do not have to manage servers in-house. It also ensures that enterprises receive regular updates to the software and have access to pre-built machine learning APIs instead of building their own.

Hybrid deployment - For seamless integration

Another method of deploying Conversational AI is hybrid-cloud.In this scenario, production infrastructure is built on-premise, and processes such as Conversational artificial intelligence and analytics are carried out in the cloud. It facilitates the seamless transition of applications between on - and off-premises infrastructure. This gives you more freedom at the infrastructure level and gives control over conversational AI. You can find AI for hr at Aisera

Sorted by use case

Another crucial aspect to consider is the types of engines and models for industry provided by the platform.In the Conversational AI landscape, vendors cover the gamut from data science-based platforms with machine learning capabilities to marketing automation tools to help optimize marketing. Without a formal structure, the vendor landscape could appear as a confusing maze to an enterprise's end-user or AI implementer. We can organize the vendor landscape based on Conversation AI's broad applications.

Platforms with specific functions

Vendors offer conversational AI platforms that do not target a particular industry or class problem. They offer operations intelligence, predictive analytics, as well as decision assistance.

Specific platforms for industry

The platforms offered by these vendors include domain-specific AI and cognitive models that are customized to meet the needs of specific industries. These Conversational AI platforms blend AI, cognitive technologies, deep knowledge of the industry as well as AI to tackle industry-specific problems. This is a broad selection of AI vendors, each of which has distinct categories. The solutions are used in industries like health, finance and insurance. It includes sales and marketing, cybersecurity, physical security marketing and sales as well as production of news and other content, education, and knowledge management.