Enterprise bot development framework
Bot development frameworks are the new buzzword in technology. This emerging trend has transformed many different aspects of business operations. Whether it’s customer service, promoting services to users, or helping to automate business, businesses across all industries are experimenting with enterprise chatbot platforms, deployments, and implementations. .
Organizations are using AI-powered chatbots to make faster, more informed decisions. The technology is rapidly becoming mainstream, with several large companies working on it.
The use of artificial intelligence and the ability to communicate in natural language can make chatbots look futuristic. Users can interact with these bots using voice or text conversations to access information and complete tasks. A reliable Bot Framework development company can help you leverage the framework and advanced machine learning technology stack.
How to choose a Chatbot framework?
Getting help with a variety of tasks
Choosing a chatbot development platform that offers a variety of built-in features that can easily address use cases related to different business functions such as customer service, service requests and leads. generation. Ideally, a chatbot development framework should be able to customize a chatbot to suit your business needs, as well as handle customer service workflows and resolve queries related to business products/services.
Compatibility with different platforms
Chatbots should support different platforms such as websites and mobile applications, as well as deploy on the medium of their choice. The user interface should be customized for each channel, be it SMS, email or social media.
Bots must be able to communicate with enterprise tools such as Slack, Telegram, Skype, etc.
Natural language processing and speech support
Chatbot training is an important consideration for bot scalability. Chatbot platforms allow NLP and voice assistance to understand user intent and evaluate it to send a response with relevant content.
Intelligent chatbots through the platform
Your chatbot framework should constantly enable intelligent chatbots to understand, remember, and continuously learn from the data collected during every customer interaction. Machine learning can help improve its natural language processing capabilities.
Bot development framework for your business/enterprise
Chatbot development used to be a complex and tedious task. The tech community has witnessed the full development of AI, including natural language processing and machine learning. Big tech giants such as Facebook, Microsoft, IBM and Google have worked tirelessly to create enterprise chatbot platforms and tools to help developers and entrepreneurs simplify the process of integrating these technologies. in their own products and businesses.
Platforms such as Slack, Facebook Messenger, Wit.ai and Microsoft’s Bot Framework provide technology entrepreneurs with the ability to create chatbots that can integrate with existing platforms and applications.
Few Chatbot UI frameworks are limited to platforms like Slack and Facebook, while others integrate with different platforms. As a result, it reduces a lot of effort and resources when planning cross-platform releases.
Chatfuel
Chatfuel started in 2015 with the main goal of making it easy for anyone to create bots. Since its inception, it started with Telegram and has reached millions of users at an incredible rate. Today, Chatfuel makes it easy to create chatbots on Facebook Messenger. His client list includes NFL and NBA teams, as well as high-authority blogging sites and publications such as TechCrunch and Forbes.
Chatfuel uses the power of chatbots to deepen connections with your target audience – be it your customers, readers, fans or others – and strives to make the process as easy as possible.
Dialogflow
Formerly known as Api.ai and Speakoit, Dialogflow is built on Google’s machine learning products and expertise. Dialogflow, powered by Google and running on Google Cloud Platform, provides the flexibility to scale to millions of users. Whether your users are on the go or at home, Dialogflow creates natural conversational experiences on devices as diverse as wearables, phones, cars, speakers, and other smart devices. Dialogflow is optimized for devices with the Google Assistant and can connect with users on other popular devices and platforms, such as Alexa, Cortana, Facebook Messenger and other platforms where your users.
Wit.Ai (Facebook Bot)
Wit.ai facilitates the creation of text or voice bots that allow people to chat on its messaging platform. An open and extensible natural language platform, Wit.ai explores and learns human language from every interaction.
Wit.ai can not only help meet unexpected needs, but also help understand people’s needs.
Microsoft Chatbot Framework
The Microsoft bot framework makes it possible to connect, create and deploy intelligent bots to interact easily and naturally with users. Be it a website, Skype, Slack, Facebook Messenger or more, it provides an environment for building bots.
Azure Bot Service offers scalability and accelerated development, and provides a dedicated Micro Microsoft Bot Framework connector and BotBuilder SDK. As part of Azure Bot Service, businesses can extend the capabilities of the bot with enhancements such as natural language processing integration, question answering, support for multiple models, and the addition of cards and buttons .
IBM Watson
IBM Watson enables rapid deployment and optimization of chatbots for your business. It offers easy integration with different social media messaging channels like Slack, Facebook, and Twilio. With a simple and intuitive interface, you can quickly create bots. Watson provides state-of-the-art AI, highlighting natural language models that help large enterprises understand their users and provide training recommendations for managing your assistant.
Amazon Lex
Want to build, test, and deploy chatbots from a single platform? Well, Amazon Lex is your one-stop-shop for developing custody interfaces without any hassle. Powered by Alexa in the past, this chatbot UI framework is a fully managed, powerful, and easily extendable service. Well, it’s true! The management of its infrastructure is stress-free because it evolves automatically.
It also provides excellent SDKs for Android and iOS, so bots can be created to support your mobile apps. You can also integrate them seamlessly with Kik, FB Messenger, Slack, etc.
RASA Stack
As an open source chatbot framework, RASA consists of two main components, RASA core and RASA NLU. Here, RASA Core enables excellent dialogue using interactive ML training, while RASA NLU facilitates natural language understanding. As a production-ready enterprise chatbot platform written in Python, it can be easily deployed on your own server. The best part is that RASA NLU and RASA kernel can be used easily without any difference. RASA Core supports integrations in FB Messenger, Slack, Twilio and Telegram.
Mobile Monkey
A useful chatbot builder, Mobile Monkey makes it easy to build processes without writing a single line of code. It can be easily used to connect viewers and customers through multiple channels like FB Messenger, Live Chat or SMS. You can even use the provided templates to speed things up. It works the same way as Chatfuel and Manychat.
BotKit
It is an open source chatbot development framework, which is a great tool for developing chatbots and custom integrations on different applications. With its recent acquisition by Microsoft, it is available for all major NLP platforms. As a NodeJs-based SDK, it supports publishing chatbots to various messaging tools (like Google Hangouts, etc.). It also provides a perfect web chat plugin which can be integrated into different websites. When using BotKit, the chatbot must be hosted on your server.
Conclusion
Before creating a chatbot for your business, it is important to understand your business goals, clearly define the purpose and the exact value the bot can bring to users. Each Chatbot framework has its features, drawbacks, and capabilities. If it’s not clear, it’s important to choose a chatbot development company with domain knowledge, innovative technical expertise, and an understanding of artificial intelligence.
Looking to develop Chatbot for your company? Get in touch with our team.
Leave a Reply