Award-winning Offshore Software Development & IT Consulting Company Since 2003
Bot Development Frameworks is the new technology buzzword. This emerging trend has revolutionized several different aspects of enterprise operations. Whether it is customer service, promoting services to users, or helping business automation, several industries are experimenting with enterprise chatbot platforms, deployment, and implementation.
Organizations are using chatbots powered by artificial intelligence to make faster and informed decisions. This technology is fasting moving mainstream, with several big companies moving into development. The use of artificial intelligence and the ability to interact in natural language can make chatbots look futuristic. Users can interact with such bots, using voice-based or text-based conversation, to access information, as well as complete tasks. A reliable Bot Framework Development Company can help you to gain benefits from the architecture and advanced machine-learning technology stack.
How to Select Chatbot Framework?
Get Support for Various Tasks
It is imperative to select a chatbot development platform that offers several in-built features which effortlessly address use cases related to different business functions such as customer support, service queries, and lead generation among others. Ideally, a chatbot development framework should provide the ability to customize chatbots to meet your business requirements, as well as manage workflows relating to customer services and solving queries relating to business offerings/services.
Compatibility with Different Platforms
A chatbot should provide support to different platforms such as websites and mobile apps as well as be deployed on the medium of choice. The user interface should be customized for each channel whether it is SMS, e-mail, or social media. Bots should have the ability to interact with corporate tools like Slack, Telegram, Skype, and more.
Natural Language Processing and Speech Support
Training the chatbot is yet important consideration when it comes to the scalability of the bot. A chatbot platform allows NLP and speech support allows to understand user intent and send replies with relevant content post-assessment.
Intelligent Chatbots through the Platform
Your chatbot framework should empower intelligent chatbots consistently to understand, recollect, and continuously learn from data collected from each and every customer interaction. Machine Learning can help enhance its natural language processing capabilities.
Bot Development Frameworks for your Enterprise
Chatbot development used to be a complex and tedious task. The tech community has witnessed complete evolution in AI, including natural language processing and machine learning. Big technology giants such as Facebook, Microsoft, IBM and Google have tirelessly been creating enterprise chatbot platforms and tools to help developers and entrepreneurs ease the process of integrating such technology into their own products and businesses.
Platforms such as Slack, Facebook Messenger, Wit.ai, and Microsoft’s Bot Framework have given technical entrepreneurs the option to build chatbots that can be integrated with existing platforms and apps. Few Chatbot UI frameworks are limited to platforms like Slack and Facebook, while others integrate with different platforms. As a result, this minimizes a lot of effort and resources if you’re planning for a cross-platform launch.
Chatfuel
Chatfuel was incepted in 2015 with the primary aim of making bot-building an effortless process for anyone. Since the beginning, it started with Telegram and grew at a phenomenal pace to millions of users. Today, Chatfuel aspires to make it easy to build chatbots on Facebook Messenger. Its client list includes NFL and NBA teams, as well as high authority blogging sites and publications such as TechCrunch and Forbes.
Chatfuel leverages the power of chatbots to strengthen a connection with the target audience—whether that’s your customers, readers, fans, or others and is committed to making the process as simple as possible.
Dialogflow
Formerly known as Api.ai & Speakoit, Dialogflow is powered by Google’s machine learning products and expertise. Backed by Google and running on the Google Cloud Platform, Dialogflow provides the much-needed flexibility to scale to millions of users. Whether your users are on the go or at home, Dialogflow builds natural conversational experiences on different devices such as wearables, phones, cars, speakers, and other smart devices. Optimized for Google Assistant devices, Dialogflow allows connecting with users on other popular devices and platforms such as Alexa, Cortana, Facebook Messenger, and other platforms your users are on.
Wit.Ai (Facebook Bot)
Wit.ai makes it easy to create text or voice-based bots that allow humans to chat on their messaging platform. Open and extensible natural language platform, Wit.ai explores and learns human language from each and every interaction. Wit.ai helps not just meet unanticipated needs, but also understand the needs of humans.
Microsoft Chatbot Framework
Microsoft bot framework allows to connect, build and deploy intelligent bots to interact with users in an effortless manner, naturally. Whether it is a website, Skype, Slack, Facebook messenger, or more, it provides a bot-building environment.
Offering scalability and accelerated development, Azure Bot Service provides purpose-built Micro Microsoft Bot Framework connectors and BotBuilder SDKs. As part of the Azure Bot Service, enterprises can extend the bot’s functionality with enhanced features such as incorporating natural language processing, answering questions, managing multiple models, and adding cards and buttons
IBM Watson
IBM Watson quickly allows deploying and optimizing chatbots for your business. It offers easy integration with different social media messaging channels such as Slack, Facebook, and Twilio. An easy and intuitive interface allows building bots quickly. Watson provides industry-leading AI that accentuates the Natural language models that help the large enterprise understand their users as well as provide training recommendations to run your assistant.
Amazon Lex
Want to build, test as well as deploy chatbots from one platform? Well, Amazon Lex is your one-stop to develop conservational interfaces without any hassle. Having powered Alexa in the past, this chatbot UI framework is a fully managed service that is quite powerful to be scaled easily. Yes, that’s right! There is no stress of managing its infrastructure as it can scale automatically. It also provides excellent SDKs for both Android and iOS so that bots can be built to support your mobile apps. You can also integrate them hassle-free with Kik, FB messenger, Slack, etc.
RASA Stack
As an open-source chatbot framework, RASA is comprised of two main components namely, the RASA core and RASA NLU. Here, RASA core enables the use of outstanding dialogue which is trained with interactive ML and RASA NLU helps in natural language understanding. Being a production-ready enterprise chatbot platform written in Python, it is easily deployable on your own server. The best part is that RASA NLU and RASA core can be easily used without any distinction. RASA core supports the integration in FB messenger, Slack, Twilio, and Telegram.
Mobile Monkey
Being a useful Chatbot builder, Mobile Monkey facilitates flow creation without any line of code written. It can easily be used for connecting audiences and customers via a myriad of channels like FB messenger, live chat, or SMS. You can even make use of the given templates for faster use. Its operation is similar to Chatfuel and Manychat.
BotKit
Being an open-source chatbot development framework, it is a great tool for developing chatbots and custom integrations on different apps. With the recent acquisition by Microsoft, it is available for use on all main NLP platforms. As a NodeJs based SDK, it imparts support for publishing chatbots on different messaging tools such as Google Hangouts, etc. It also proffers a perfect web chat plugin that can be embedded on different websites. While using BotKit, the chatbot must be hosted on your server.
Conclusion
Before building a chatbot for your business, it is important to understand your business objectives, clearly defined the purpose and the exact value bot could bring to the user. Each Chatbot framework comes with its features, drawbacks, and functionality. If you are not clear, it is important to select a chatbot development company with domain knowledge, expertise in innovative technologies, and an understanding of artificial intelligence.
