Microsoft offers the Azure Bot Service (replacing the former Microsoft Bot Framework), a managed bot building platform, which provides an integrated environment that is purpose-built for bot development, enabling you to build, connect, test, deploy, and manage intelligent bots, all from one place.
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Google Cloud Dialogflow
Score 7.4 out of 10
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Dialogflow (formerly Api.ai) is a chatbot building tool, designed to give users new ways to interact with digital products by building engaging voice and text-based conversational interfaces powered by AI.
Dialogflow was acquired by Google in 2019.
Azure AI Bot service works well if you need to support multiple channels like MS Teams, Slack, Facebook Messenger, etc., using the same code base. It also provides built-in connectors to LUIS and Azure OpenAI for natural language understanding and intelligence. Scenarios such as a low-cost chatbot without the need for LUIS or AI are the ones where Azure AI bot service might not be most appropriate.
Indicated for those who have good knowledge of programming and coding in HTML and JSON, that is, it is not suitable for beginners or users without much technical knowledge. It is suitable for those who want to integrate with various platforms, such as Telegram, Webhat, Facebook Messenger, among others. I also recommend it to anyone who needs to create a chatbot in several languages (it is not automatic translation). Recommended to create new projects in CX environment and not in ES.
Audience Engagement & Support Chatbots for Viewer Bots can answer FAQs about show timings, cast details, subscription plans Etc.
Interactive Experiences: Bots integrated into apps or behind-the-scenes content to boost viewer interaction.
Content Discovery & Personalization Bots can guide users to discover new shows or movies based on preferences using natural language queries.
Social Media & Campaign Automation Bots can automate responses to fan comments, promote upcoming releases, and manage contests or giveaways across platforms like Twitter, Facebook, and Instagram.
They have simplified the coding for the bot in Azure, but it would help if the coding was further simplified so that non-IT can operate [and] create it easily.
Azure Bot Service provides an integrated environment for bot development. Microsoft Azure Cloud is fully compatible and its security features. It's more important to pay attention to the logic of business than the specifics of each messenger. We don't have any issues using the bot framework because the implementation is excellent.
Users benefit from Dialogflow's best User Interface and seamless User Experience. It's very scalable, and there are a lot of customization options to make it even more so. Dialogflow makes it simple to deploy, manage, and maintain chatbots. Artificial Intelligence algorithms make chatbots interactive, making it easier for users and chatbots to communicate and understand each other. Overall, it's a good option for those with little programming experience who want to learn Natural Language Processing.
They provide instructional meetings, manuals, and backing staff, in addition to other things. Bugs were handily spotted and fixed, which is one of my annoyances about issues.
Dialogflow is a wonderful tool that is helping to design customized chatbots. I personally recommend if you wanna know how it's works give it a try with a free APIs call, you'll love this tool
Microsoft Bot Framework is much better and well more established without a lot of proprietary software/coding language. Lex is very limited with integration with standard hardware and network configurations. Lex has performance issues and was too slow to meet near real-time collaboration requirements. Bot Framework complements many other Microsoft communication products and this was key to implementing without a lot of new training required.
There is always use cases for both. We still use the other plattforms but each has its own strengths and weaknesses. We, as a contact center implementation partner always use multiple solutions both for ourselves but also for our customers to meet their needs. In the cases we choose Google Cloud Dialogflow is when we need to be able to handle specific follow-up questions from the customer. And for more complicated issues we also use a combination of this and other 3rd party plattforms. We always meet the need of our customers and as specialist and consultants we give expert advice on how to use all these different solutions in the best way possible.
Interfaces with the SQL data set, tracks down plans/replies, and tests them with the SDK.
Utilizing the system is made conceivable by the Bot Dev gateway. We can interface our bot in excess of ten channels, including Twilio Facebook, Twilio, Twilio, and Slack, and that's only the tip of the iceberg.
As a partner to multiple contact center plattforms we have always been able to offer Google Cloud Dialogflow along with them because it integrates well with all.
Many businesses want to implement smart ways to have call deflection. Bots that can handle full dialogues with the customer is very intriguing to them because it can fulfill customers requests without using up as many resources
