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.
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IBM watsonx Assistant
Score 9.1 out of 10
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IBM offers watsonx Assistant, an AI and natural language driven chatbot designed to allow anyone to deploy a chatbot in an app or website.
$0
per month
Pricing
Google Cloud Dialogflow
IBM watsonx Assistant
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Lite
$0
per month
Plus
$140
per month
Enterprise
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Offerings
Pricing Offerings
Google Cloud Dialogflow
IBM watsonx Assistant
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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Billing for the use of Watson Assistant is managed through an IBM Cloud® account. The metrics that are used for billing purposes differ based on the plan type. The plan can be billed based on the number of API calls made to a service instance or on the number of active users who interact with the instance.
IBM watsonx is clearly superior to yellow.ai. Compared to Google Dialogflow is a tight comparison.
Verified User
Consultant
Chose IBM watsonx Assistant
Mainly the UI of DialogFlow is not at all developer friendly which will definitely move you to IBM Watson [Assistant] which has the clear UI with multiple options arranged in [a] usable manner.
Microsoft NLP approaches are interesting and powerful, but they don't have an easy way to model the interaction between actions like Watson, and they don't have a powerful way to test your virtual agent while you build them. Salesforce Einstein is a basic platform and doesn't …
Microsoft's NLP approaches are interesting and powerful, but they don't have an easy way to model the interaction between actions like watsonx, and they don't have a powerful way to test your virtual agents while you build them. SalesforceEinstein is a basic platform and …
This part of the review might be not as comprehensive as we haven't done a deep comparison. For our internal use cases, we are already using IBM Watson APIs for speech, text, and image recognition in our products. So it kind of makes sense to continue using the IBM Watson suite …
IBM Watson Assistant is much more complex than all the other products mentioned as it uses AI and NLP from the beginning of the conversation which therefore translates into a better customer experience whereas the others are easier to set up and deploy in the beginning.
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.
In scenarios requiring highly specialized technical support, where deep domain expertise is necessary, a virtual assistant may lack the specific knowledge needed to address complex technical issues, It's important to note that the effectiveness of virtual assistants depends on factors such as the quality of training data, customization, and ongoing improvement efforts.
Watson Assistant requires some improvement in the way it deals with multimedia content when displayed on the assistant. As of now, IBM Watson Assistant has issues displaying technical diagrams on a small chat window. This is definitely something that needs some improvement.
It is sometimes hard and time-consuming to create some advanced actions while creating the virtual assistant so I suggest that the IBM Watson Assistant development team would work on creating sample templates for some simple to advanced actions according to industry to help kick-start the process of creating the initial virtual assistant.
IBM Watson Assistant is great, but it is not magic on its own; it requires more extensions which, in my opinion, are very limited to a few possibilities. Enhancing the extensions with other products, including open-source solutions, ought to be a priority for the Watson Assistant development team.
Currently we are using to develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library.
It just delivers, even being somewhat rough to get used to it. Users just love it as it feels polished - very well balanced, good chat flows, good workflows, good response time and good usability. It's just somewhat complicated to setup at first glance though, with a semi steep learning curve compared to other solutions around the market.
IBM Watson assistant has come a long way in last few years, and is handling the generative AI chatbot building really well. It is of immense importance to sales strategists like me who are average in coding but have real world cases of lead qualification for sales. IBM Watson is also very intuitively designed with the amazing drag and drop feature. Testing is easy, deployment is pretty straightforward. I could have worked with a little more sales support, but then the whole point of making a conversational AI chatbot is to reduce the sales support intervention - so I guess I will live with that
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.
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
We've rarely had to engage support, but they've always been prompt in responding and very attentive. Support experiences have been extremely positive (but we're mostly happy that we just don't have any cause to routinely need support in the first place!).
IBM Watson Assistant provides a highly intuitive and user-friendly interface, making it accessible to non-technical users to easily create and deploy conversational agents. Additionally, being a cloud-based platform, it eliminates the need for manual retraining of the bot after each modification, saving time and resources for businesses. This combination of user-friendliness and automation makes watsonx Assistant an ideal choice for building conversational agents at scale.
To develop chatbots based on client provided flow what kind chatbot required for client either button or free text chatbots. we will decided accordingly flow and develop chatbot using IBM Watson. We will integrated custom components if required which is not present in library. IBM Watson library anyone can easily learn and develop chatbots.