Azure Bot Service (Microsoft Bot Framework) vs. IBM watsonx Assistant

It is suited for applications like computerizing messages, or any business thought that would require the entrepreneur to robotize their reactions, particularly assuming they are managing a ton of clients and they can't answer to every single one of them. It'd be the most ideal to computerize messages of enormous associations where the reactions measure up to the clients' assumptions. It would be less appropriate in associations where clients' viewpoints matter and every client is interesting and requires the association's consideration, where the specialist organization doesn't need to sum up the clients' interests.

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.

Incentivized

• Real-time communication.
• Lightweight software protocols.

Incentivized

• Provides fast and accurate responses to our customers.
• Learns and adapts, continually improving its responses and recommendations as it interacts with customers.
• Integrates seamlessly with our internal systems and databases.
• We can customize and adjust the virtual assistant's responses and recommendations to suit our customers' specific needs.
• It provides valuable information about our customers' needs and preferences.

Incentivized

• 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.

• 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.

Incentivized

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.

Incentivized

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.

Incentivized

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

Incentivized

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.

Incentivized

Support is helpful when we have a problem, but online documentation is lacking

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!).

Incentivized

Excellent course material.

Incentivized

Overall the implementation was simple.

Incentivized

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.

Incentivized

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.

Incentivized

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.

Incentivized

Over All good

Incentivized

• 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.
• It is expensive.

• Setting up automated tasks has helped my team to have a cut on time leading in a dynamic change and this service has taken it down by 30%
• Chatbots are a way forward, using this product we receive more queries most of which lead to qualification
• The data provided based on user interactions is so valuable that now we easily know what the intents are and where we can improve with our pitches