Bot Development Frameworks Archives - BotCore Enterprise Chatbot Fri, 15 Mar 2024 10:00:13 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.1 https://botcore.ai/wp-content/uploads/2020/02/cropped-favicon-32x32-1-70x70.png Bot Development Frameworks Archives - BotCore 32 32 Why The Future Of Chatbots is Low-Code https://botcore.ai/blog/low-code-chatbots/ Fri, 15 Jan 2021 10:33:00 +0000 https://botcore.ai/?p=7476 Why The Future Of Chatbots is Low-Code Gartner predicts, Low-code application building would gather more than 65% of all app development functions by the year 2024. The COVID-19 pandemic has disrupted the entire business landscape and compelled businesses to face never-seen-before challenges and develop new workflows. Moreover, an increasing focus on the digitization of the […]

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Why The Future Of Chatbots is Low-Code

Gartner predicts, Low-code application building would gather more than 65% of all app development functions by the year 2024.

The COVID-19 pandemic has disrupted the entire business landscape and compelled businesses to face never-seen-before challenges and develop new workflows. Moreover, an increasing focus on the digitization of the industry drove up the demand for text and voice-based bots that automate day-to-day operations and deliver exceptional customer support.

With the IT department dealing with massive resource scarcity and struggling to develop apps for various business problems, enterprises started looking at smart solutions that allow people with little or no coding knowledge to quickly deploy AI-powered bots for a host of business use cases. No wonder many organizations turned to low-code app development platforms (LCAPs).

Low-code platforms are indeed the future of chatbot development. So, what’s a low-code app development platform? A low-code application platform, or an LCAP, is an interactive platform that leverages a visual interface, such as drag-and-drop tooling and pre-configured templates, to empower users to develop and deploy professional-grade bots within days.

Let’s explore further.

Benefits of building chatbots on a low-code platform

1. Infuses agility

The first and foremost advantage of low-code development is the agility that it allows in business operations because a) it’s quicker to build bots with pre-built modules and templates in a visual interface, b) employees, who are experts in their domains, can easily develop and refine their bots without the need to explain their ideas to others (coders). Research has shown low-code platforms can potentially reduce development time by up to 90%.

2. Reduces development costs

Hiring skilled developers proves heavier on the cost side. Low-code solutions require little or no coding knowledge, so professional and citizen developers alike can quickly build and deploy any app, making it economically viable to create intelligent chatbots for different business use cases, including service desk management, IT helpdesk, HR automation, etc.

3. Allows flexible integration

Low-code app development platforms allow integration with various SaaS-based and on-premise enterprise systems, helping organizations get a single-window view of their data.

4. Encourages innovation across functions and levels

Since low-code platforms enable domain/subject-matter experts to collaborate, develop, and customize their bots, they democratize innovation by not restricting it to a core team or group of individuals.

Seven low-code development tools for chatbots

1. Power Virtual Agents

Power Virtual Agents (PVA) is a Microsoft software-as-a-service (SaaS) offering in the low-code app development space. Microsoft’s Cloud services host the application; hence PVA significantly reduces the need for a conducive environment to deploy and maintain the bots.

Bot Framework and Azure Bot Service and Cognitive Services form the SDK to build chatbots using a guided, no-code visual interface, allowing citizen developers to build and deploy chatbots quickly. PVA greatly reduces the need to have the infrastructure to maintain and deploy chatbots as Microsoft’s Azure Cloud Services does all the heavy lifting of providing a conducive environment to host the application.

Read More: Power Virtual Agents & Power Automate – Truly Powerful!

2. Chatfuel

Chatfuel is a leading low-code chatbot development platform for Facebook Messenger. Chatfuel supports many languages and allows integration with several third-party apps.
Chatfuel’s built-in guides and predefined bot templates help create bots for automated customer support and sales and marketing activities easily. An analytics dashboard allows users to monitor and analyze several business and chatbot metrics.

3. FlowXO

FlowXO enables users to build both simple and complex AI bots and connect them to more than 100 different cloud apps. FlowXO provides a visual flow editor, supports multilingual chatbots, and allows integration with popular apps, such as Facebook and Slack. Other features include the ability to send emails and attachments and build chatbot widgets for websites.

4. Botsify

Botsify uses an easy-to-navigate drag-and-drop interface that enables users to build template designs for chatbots. Botsify’s chatbots are used by well-established companies, including Apple and Shazam.

The bots integrate with services, such as WordPress, Alexa, ZenDesk, Google Sheets, etc., and can collate user information, track sales leads, and automate sales chats.

5. BotKit

With a semantic chat interface, BotKit’s chatbots imitate human conversations. The platform boasts interesting features like a visual conversation builder and open source libraries.

Other features include activity monitoring, detailed statistics, and flexible API integrations.

6. TARS

TARS is another low-code bot-building platform that democratizes the process of building chatbots with pre-built templates that are easy to edit and customize.

Other exciting features of the platform include – integration with Zapier, file and image upload, custom branding, API integration, and the option to export data to Excel/CSV.

7. BotCore

At Acuvate, we help clients build and deploy AI-enabled chatbots quickly with our low-code enterprise bot-building platform called BotCore.

Fully deployable on Microsoft Cloud, BotCore’s graphical interface with drag-and-drop functionality, pre-built templates, and an integrated Knowledge Graph consisting of multi-functional nodes enable professional and citizen developers alike to create and deploy chatbots in a matter of days.

Some of the powerful features of BotCore include –

  • BotCore leverages Message Definition Language (MDL) to define bot responses
  • Technologies like natural language processing (NLP), natural language understanding (NLU), and machine learning enable our bots to understand the context, learn from past conversations, and respond to users in a human-like manner.
  • Seamless agent handover capability allows bots to handle simple requests while escalating the more complex ones to human agents when needed.
  • BotCore will enable clients to build multilingual bots that can be deployed across various channels, giving users a seamless omnichannel experience.
  • Our bots can aggregate the best of Microsoft technologies, including LUIS bots, Power Virtual Agents, QnA Maker bots, and other third-party bot applications.

To know more about BotCore, feel free to schedule a personalized consultation with our chatbot experts.

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9 Components Of A High-Performing Chatbot https://botcore.ai/blog/components-of-a-chatbot/ Wed, 22 Apr 2020 06:31:00 +0000 https://botcore.ai/?p=5439 9 Components Of A High-Performing Chatbot Chatbot conversations will deliver $8 billion in cost savings by 2022– Juniper Research Chatbots are being widely used by businesses. But what does it take to build a truly advanced and enterprise-grade chatbot? Let’s explore! Conversational UX An excellent Conversational UX is key to drive adoption and helps users […]

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9 Components Of A High-Performing Chatbot

Chatbot conversations will deliver $8 billion in cost savings by 2022
Juniper Research

Chatbots are being widely used by businesses. But what does it take to build a truly advanced and enterprise-grade chatbot? Let’s explore!

Essential Components Of Chatbot
  • Conversational UX

An excellent Conversational UX is key to drive adoption and helps users reach their goal in the shortest time with maximum end-user experience. It enables bots to conduct human-like conversations.

  • Machine Learning

Machine learning algorithms enable chatbots to learn from previous conversations, and deliver better responses in the future.

  • Natural Language Processing (NLP)

NLP is a technological process that allows chatbots to understand the meaning behind users’ natural language inputs and then deliver relevant responses.

  • Sentiment Analysis

The technology with which chatbots can analyze users’ input text or voice and understand their emotions and gauge their mood.

  • Multilingual 

Multilingual chatbots are capable of understanding and conversing in different languages. This ability enables bots to cater to a wide range of audience across countries. 

  • Analytics & Administration

Chatbot platforms need to have an administration module in which you can track the bot’s performance, do maintenance activities and train the bot. 

  • RPA

By integrating with back-office RPA bots, chatbots can capture information from legacy systems that lack modern APIs and perform actions on behalf of users.

  • Voice Bots

The next-generation of enterprise chatbots are voice-based. Voice bots relieve users from having to use their keyboard or mouse to send messages.

  • Cognitive Abstraction

Using cognitive abstraction, chatbot platforms can leverage any AI service available today and will scale for future services.

Build A Modern Enterprise Chatbot!

Ready to get started with your conversational AI journey? Check out BotCore – an enterprise chatbot builder platform driven by AI! Learn how Fortune 500 companies are using chatbots to drive employee and customer experience. Visit www.botcore.ai

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If you’d like to learn more about this topic, please feel free to get in touch with one of our experts for a personalized consultation.

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7 Tools To Build Chatbots Without Coding https://botcore.ai/blog/7-tools-to-build-chatbots-without-coding/ Fri, 19 Apr 2019 15:39:43 +0000 https://botcore.ai/?p=5093 7 Tools To Build Chatbots Without Coding Conventionally, it required extensive knowledge, skill and substantial coding, support, maintenance, and manual work to build chatbots from the ground up. Large amounts of time and money expended into building chatbots ultimately did not seem viable or profitable.  Time and resource intensive practices of developing chatbots has been […]

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7 Tools To Build Chatbots Without Coding

Conventionally, it required extensive knowledge, skill and substantial coding, support, maintenance, and manual work to build chatbots from the ground up. Large amounts of time and money expended into building chatbots ultimately did not seem viable or profitable.  Time and resource intensive practices of developing chatbots has been a major impediment for smaller companies to effectively implement the technology along with a fierce competition for the scarce engineering talent pool to develop chatbots.

The problem of finding niche expertise and the cumbersome process in building chatbots is being resolved by the uprise of no/low code chatbot platforms that allow businesses to enjoy the customer service benefits of chatbots without draining resources. There are several frameworks or software development kits (SDKs) readily available necessary to build intelligent bots that drastically reduce the amount of code required to build chatbots thus democratising the chatbot technology.

The 7 Popular Tools To Build No-Code Chatbots

1. Power Virtual Agents

Power Virtual Agents is a SaaS offering by Microsoft to build chatbots that can be integrated with several Microsoft and third-party applications. PVA greatly reduces the need to have the infrastructure to maintain and deploy chatbots as Microsoft’s Azure Cloud Services does all the heavy lifting of providing a conducive environment to host the application.

Chatbots to handle customer service questions and inquiries internal and external to the organisation can be developed using Power Virtual Agents. Bot Framework and Azure Bot Service and Cognitive Services provide the technological foundation for Power Virtual Agents that are essentially SDKs that allow users to build chatbots with minimal coding thus making the technology available to citizen developers.

With the help of PVA, powerful chatbots can be built using a guided, no-code graphical interface that can be deployed for sales, HR, finance, customer service and virtually on all channels where customers need to be engaged.

2. BotCore

BotCore is an accelerator that enables organizations to train, build & launch customized conversational bots powered by artificial intelligence. Using “Cognitive Abstraction” it can leverage any AI service available today and will scale for future services. BotCore is a no-code enterprise-grade bot platform. It is fully deployable on both on-premise and cloud (Microsoft Azure) environments. Some important features of BotCore are:

  1. Knowledge Graph: Build bot conversations with an integrated Knowledge Graph consisting of multi-functional nodes
  2. Conversation System: BotCore uses Message Definition Language (MDL) to define bot responses
  3. Agent Hand-off: Let the bot handle most user queries, while providing a seamless escalation to a human agent
  4. The best of Microsoft technologies: BotCore can aggregate LUIS bots, QnA Maker bots, Power Virtual Agents and other third-party bots.

Learn More About BotCore’s features

3. Chatfuel

With over 46,000 chatbots created using ChatFuel, it is one of the leading chatbot platforms for Facebook Messenger that comes packed with integrations to several third party services. Sales activities, personalized marketing and automated support can be executed with Chatfuel’s chatbots which can be built without any coding. 

Chatfuel supports multiple languages and comes with Facebook Live Chat Website Plugin to embed Messenger bot for the website. Chatfuel is a desirable tool to build chatbots from scratch as it has an in-built guide to navigate through the process of developing a bot systematically. In addition, bot’s responses can be customized by adding content through hyperlinks. The chatbots on Chatfuel despite their versatility have limited A.I. and Natural Language Processing capabilities.

Some of the key features of Chatfuel include:

  • Predefined bot templates and provision to create automated and personalized messages
  • Bots enabled to send email notifications and attachments
  • Payment gateway can be integrated chatbots
  • Analytics Dashboard with several chatbot and business metrics

4. FlowXO

FlowXO is a popular platform to build chatbots for seamless communication and effective customer engagement across a wide range of channels. Chatbots by FlowXo have been incorporated on well-known platforms like Slack and can connect with over 100 different cloud-based apps. FlowXO provides a wide range of capabilities for chatbots, from simple chatbots to cognitive chatbots with artificial intelligence.

Chatbot widgets for websites can be built using FlowXo and can be integrated with suitable third-party platforms.

FlowXo provides the comfort of building chatbot using visual flow editor and conversing with users directly inside the chatbot platform. FlowXo also supports multilingual chatbots with Facebook and Slack integration, enabled to send emails and attachments.

5. Botsify

Botsify with its easy-to-use drag and drop interface allows users to build template designs for chatbot and create AI chatbots for websites and Facebook messenger without any coding. Botsify is used by some of the popular brands including Apple and Shazam to design their chatbots. Botsify is integrated with several services, including WordPress, Shopify, Slack, Alexa, Google Sheets, RSS Feed, JSON API and ZenDesk.

Botsify provides a comprehensive approach of design, development, launch and growth to building chatbots. Major chatbot content like messages, and menus are first designed which are followed by designing messages that trigger and enable chatbot to human handover. 

Botsify users can automate live chat sales, track sales leads through social media and collate user information. Botsify also allows users to create conversational forms, integrate with WordPress and has form fields that are easy to customize.

6. BotKit

BotKit is a great chatbot builder that has a semantic interface for holding conversations which empowers chatbots with capabilities that mirror human conversational abilities. BotKit allows users to manage real-time messages, monitor activity, provide detailed statistics and can also be integrated with the API to improve functionality.

Botkit includes a visual conversation builder, open source libraries and rigorously tested, robust code. BotKit while providing all the desirable features doesn’t involve any coding.

7. TARS

TARS is a chatbot builder with a drag-and-drop interface to create chatbots for Facebook Messenger and conversational interfaces for websites. TARS comprises several chatbot templates that are easy to edit and customize and provides ease of use with its zero coding interface. Chatbots by TARS are loaded with advanced chatflow logic and conversation analytics and are useful for businesses to generate leads and increase ROI in marketing efforts.

Following are some of the other interesting features of chatbots by TARS:

  • Provision to export data to Excel/CSV
  • File and Image Upload
  • Integration with Zapier 
  • Custom Chatbot Design and Branding
  • Webhook/API Integration

Conclusion

Building Chatbots bot isn’t a complex task any more. Several players in the market are democratising the process of building chatbots by providing platforms that require no code to build chatbots. Several platforms provide some of the cutting edge features, augmenting the abilities of chatbots all done without a single line of code. If you’d like to learn more about this topic, please feel free to get in touch with one of our enterprise chatbot consultants for a personalized consultation.

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Comparing The Top Bot Development Frameworks https://botcore.ai/blog/comparing-the-top-bot-development-frameworks/ Fri, 05 Oct 2018 14:21:00 +0000 https://botcore.ai/?p=108 Comparing The Top Bot Development Frameworks Chatbots are noticeably one of the most popular AI technologies. In the past few years, chatbots have been transforming customer and employee experience, simplifying business workflows and reducing costs. With the rise in demand for chatbots, several frameworks and chatbot platforms have influxed the market. Enterprise leaders who participate […]

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Comparing The Top Bot Development Frameworks

Chatbots are noticeably one of the most popular AI technologies. In the past few years, chatbots have been transforming customer and employee experience, simplifying business workflows and reducing costs. With the rise in demand for chatbots, several frameworks and chatbot platforms have influxed the market. Enterprise leaders who participate in our Build-A-Bot workshops, often seek help in understanding the functionalities of different bot frameworks and platforms.

This blog differentiates between a chatbot development framework and chatbot platform, enlists some of the major bot development frameworks and their key features.

how is it different from a bot development platform?

Most people confuse bot framework with a bot platform or use the word interchangeably

A bot framework is a which helps you develop chatbots with predefined functions and classes. Frameworks are usually used by developers as they involve some programming or coding. They provide some predefined set of tools for faster development of bots.

An enterprise-grade chatbot platform helps you build, train and manage chatbots. It allows non-technical users to build bots without any coding or programming knowledge.

A platform is where the bot is deployed, run and made to perform actions as requested by users. Whereas the framework helps develop and keep together all constituents of a bot. It involves predefined functions and tools that expedite code writing and bot deployment.

major bot development frameworks

Now that we have differentiated between bot development frameworks and platforms, let’s deep dive into some of the most popular bot frameworks and their different features and capabilities.

Microsoft Bot Framework

Microsoft Bot Framework is one of the most comprehensive frameworks for building enterprise chatbots. You can build a simple Q&A bot or a sophisticated virtual assistant.

It is not only intelligent and feature-rich, but it’s also flexible and scalable. Developers can build bots that interact with users in a natural language. This is enabled by Microsoft’s Language Understanding Intelligent Service (LUIS) which extracts intents and entities from conversations. With LUIS, you can constantly improve the natural language models.

The Bot Connector feature of this framework allows bot integration of a variety of platforms such as Slack, Facebook Messenger, Telegram, Webchat, SMS, email, Skype etc.

It also leverages Microsoft’s QnA Maker which allows you to build basic QnA bots based on existing FAQ URLs, structured documents and product manuals.

One of the main advantages of the framework is that it supports Azure Bot Service. Azure allows you to quickly respond to user queries, even if there is high volume. And by using Azure Bot Service, you only have to pay for messages delivered using the Premium channel. In addition, with the service you can have complete ownership and control over data.

Another benefit of this framework is that it provides an open source SDK to build and test chatbots. You can also test and debug bots with Microsoft’s desktop application – Bot Framework Emulator.

Learn More: Why CIOs should consider Microsoft Bot Framework to build Enterprise Bots

WIT.AI

Facebook’s Wit.ai is a natural language bot development framework which enables developers to build both voice and text based bots on virtually any messaging platform of their choice.

It also allows developers to build voice interface for their apps. Moreover, the platform also shares the bot learnings with the developer community who can leverage it to further enhance the user experience.

Additionally, Wit.ai is an effective solution for home automation. It can control any smart device including home appliances and wearables.

Pre-build entities like temperature, URLs, emails, etc. make Wit.ai an excellent virtual assistant. However, the developers may have to work on refining engine training which currently takes a little long.

Dialogflow

Dialogflow, previously known as API.AI, runs on the Google Cloud platform. Powered by Google’s machine learning, it enables bot to understand the intent of the user and respond in the most accurate manner. It also takes user-machine interaction to a new level with voice and text-based conversational interfaces.

It can be integrated with any platform including Google Assistant, Alexa, Cortana, Facebook Messenger, Slack, websites and many more. Dialogflow also supports almost all types of devices such as wearables, phones, car audio, smart devices etc. This means you can connect with your users irrespective of which devices or platforms they’re using. With its ability to support over 20 languages, it helps you expand your global reach.

Another benefit that this framework offers is that it allows fast coding, thus allowing quicker time-to-market.

Botpress

Botpress is an open-source bot development framework built for the developers’ community. The framework is 100% based on Javascript. Since it’s based on a modular architecture, it’s easy to continuously add new features to it.

Botpress is quite flexible in terms of hosting. Depending on their business requirements, users can host it on their enterprise systems, on-premise or on the cloud environment. Also, it’s one of the most user-friendly frameworks. It doesn’t require a user to have the technical knowledge to manage it after it’s deployed.

It allows required customization and facilitates limitless and easy integration with third-party applications and APIs. This also means that users can interact with Botpress bots on all major messaging platforms.

In addition, it allows you to monitor bot application and performance. It records user-bot interaction and with analytics, it allows you to make the required changes to make your bots more intelligent.

RASA Stack

Rasa is another open-source framework which is powered by machine learning. It can be customized fully which makes it a fit choice in enterprise architecture. There are two main components of this framework – Rasa NLU and Rasa Core. Rasa NLU is a natural language processing tool which classifies intents and extracts entities in chatbots. It analyses free text and takes out structured data from it. For example – address, date, numbers etc. Rasa Core uses intents and entities of Rasa NLU to create a reply dialogue. The deep learning technology empowers it to conduct complex conversations.

Rasa’s powerful and intuitive interface facilitates faster training and improves user experience.

Conclusion

These are some of the leading bot development frameworks available today. Every framework has its own pros and cons. It would be difficult, or rather unfair to comment on which one is the best. There is no “best” bot framework in its absolute sense.

Choosing the right bot framework depends on your business needs and technological landscape.

What’s sure is that the conversational bots are here to stay. They’re going to change the face of customer service, employee productivity and business workflows in the coming years.

Acuvate’s own enterprise chatbot builder platform, BotCore can be deployed both on cloud and on-premise environments and helps you deploy enterprise chatbots, train, and administer them according to your needs

If you’re planning to deploy chatbots for your business and need guidance in choosing a powerful bot framework, feel free to get in touch with one of our chatbot experts for a quick consultation.

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