Flutter is an open-source mobile application development framework created by Google. It is used to develop applications for Android and iOS, as well as being the primary method of creating applications for Google Fuchsia.
$0
IBM watsonx Assistant
Score 9.0 out of 10
N/A
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
Flutter by Google
IBM watsonx Assistant
Editions & Modules
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Lite
$0
per month
Plus
$140
per month
Enterprise
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Offerings
Pricing Offerings
Flutter
IBM watsonx Assistant
Free Trial
No
Yes
Free/Freemium Version
Yes
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.
Flutter is well known for native app development, if you have android studio installed on your system, you can quickly start using it. This might not be the best choice for you if you do not wish to learn a new language, i.e. Dart and you do not know it already.
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.
Occasionally updates to the Flutter SDK result in wide-sweeping changes that seem to not be thoroughly tested and considered. Flutter sometimes evolves too fast for its own good.
While the 3rd-party Flutter package ecosystem is vast and rich, 1st-party support for basic things (audio/video playback, battery information, Bluetooth services, etc.) are lacking. You are occasionally forced to rely on an open-source package for use-cases that other platforms have native support for.
Documentation, particularly around testing, is lacking. While there are some great docs, like the Dart Style Guide, many Flutter-focused support documents are lacking in quality and real-world usability.
Flutter allows you to architect an app however you want. While this is a great feature, it also adds complexity and leads to the current state of Flutter's state management, where there are 50+ options on how to organize your app, with very little official guidance or recommendations from the Flutter team. For a beginner, this can create decision paralysis.
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.
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.
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!).
I have experience with react and React Native. I would say that the idea behind all those frameworks are quite similar. However, I found the javascript-based frameworks a bit more accessible as you could utilise your javascript knowledge. Here, Flutter works with its own language. This has advantages and disadvantages sometimes. I found the community around javascript frameworks bigger and therefore sometimes more helpful. However, Flutter does a good job here as well. I think the main argument for Flutter is its usability for less experienced developers. If you do not have knowledge in javascript or other programming languages then I think it is much easier to start with Flutter than with another framework like react. I think the package that you get form scratch is better than in the other frameworks were you have to set up and learn a lot more before you can start.
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.
The rapid development capabilities of Flutter allow us to build apps we could not have previously considered commercially viable, opening new revenue streams.
Free and open licensing made adoption very easy (ie. free/low cost!).
In comparison to Qt, our time spent arguing with build tools and perfecting development environments has decreased substantially.
