AWS provides Amazon Lex, a chatbot building technology.
$0
Per Speech Request
IBM watsonx Assistant
Score 9.1 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
Amazon Lex
IBM watsonx Assistant
Editions & Modules
Request and Response
$0.004
Per Speech Request
Stream Conversation
$0.0065
Per Speech Interval
Lite
$0
per month
Plus
$140
per month
Enterprise
Contact for pricing
Offerings
Pricing Offerings
Amazon Lex
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.
We [felt like Amazon Lex was a] trap, because [while] we consider it a credible
tool, to our surprise, it was not [as] efficient [or] as effective as IBM
Watson [Assistant] is. In a jiffy, IBM Watson [Assistant] has taken a special place [in our organization] and we [are not …
Verified User
Consultant
Chose IBM watsonx Assistant
IBM Watson Assistant is doing great as other tools directly search from the internet and it need to understand all the algorithm to fetch the right answer. Also design of this is very difficult as they need to much of data feed where as IBM's tool can train by itself using both …
IBM Watson's assistant uses AI that helps to understand and translate the user requirements and conversations to provide fast and accurate results that help to optimize the business processes. It is a highly reliable and secured bot solution as compared to the other similar …
IBM Watson is more affordable as compared to Lex, but that is not the only reason we switched to IBM Watson from Lex. Lex is comparatively less robust and takes more time in model training and sometimes the UI froze when we tried to implement a bunch of commands. IBM has just …
Verified User
Engineer
Chose IBM watsonx Assistant
The UI is very clean which makes it easier to understand the product. Also, there are loads of documentation to learn more about how to use this tool for AI. When I was using Watson Studio, it was fairly well-integrated w/ Watson Cloud, allowing one to spin up infrastructure to …
Verified User
Consultant
Chose IBM watsonx Assistant
IBM Watson Assistant seems to be easier to learn while also having more functionality. Seems like IBM Watson Assistant can learn intents on fewer utterances than Lex. I also prefer the dialog UI. The UI shows a dialog tree with various drop-downs.
The ease of use working with IBM Watson Assistant is simple when compared with the other players. More scalability, fewer bot building complexities, simple integration capabilities, and multi-language support. Most of all, it comes from the IBM product suite which clearly …
If you wish to quickly deploy multilingual chatbots without having to worry about infrastructure and model training, go for Amazon Lex. It is one of the best general-purpose conversational AI solutions in the market. The cherry on the cake is that it also seamlessly integrates with other AWS services, so you would be good there. Performance monitoring is very easy with AWS. It has support for both text and integration. If you are not a pro-NLP expert, Amazon Lex will make your job really easy.
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.
Easy to deploy and very easy to integrate with other AWS services. Automating simple tasks is also very easy with Amazon Lex. We never had NLP experts in our team, but we were still able to deploy chatbots for our support functions with minimal issues. Native integration with other AWS services like S3 and Lambda has been of paramount importance.
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.
Community support for Amazon Lex is good. Also, since it is an AWS service, the support has a similar standard as other AWS services. We have had a couple of instances of our bots weren't able to interact with our web apps. We reached out to the support team, and they were able to resolve our issue in no time. The documentation from the Amazon Lex team also makes creating chatbots a breeze.
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.