Azure AI Bot Service vs. IBM watsonx Orchestrate

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.

Incentivized

In our case, it is well-suited for workday integration, which allows us to automate the entire workflow. However, we are still working on the O9 platform integration, which we feel is less appropriate, and integrating the workflow into the platform.

• Assembles conversational AI encounters for our clients
• Adds regular language, discourse, and vision
• Sends to well known channels with insignificant code changes

• New and improved natural language processing yielding better results helps the assistants understand the intention behind the query.
• Preserves context of communication, allowing the customers to establish inquiries on the website and continue on the mobile app without having extra informational input.
• Intelligent conversations mean that complex paths that are branched based on the user's inputs allow for a much more natural flow of the conversation than fixed scripts.

Incentivized

• Limited Natural Language Understanding, especially in entertainment contexts where slang, humor
• Works only with Azure platform only not compatible with other platforms
• Complex customization as per organization need

Incentivized

• I think that it needs to be able to integrate better with the knowledge catalogs. It currently provides a default database, which isn't quite large enough for enterprise use. We can connect that then to an external source, but it'd be nice if we could able just to instantiate one straight away.

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. Action flow and dialog flow we are currently in chatbot.

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

With the growing use of AI and chatbots, it's very easy to use, and the conversational language makes it easier than keyword searches in a document. The contextual language processing is impressive. It's easy to integrate into our internal portal. The use of this tool would depend on each company's security and data sensitivity.

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

Microsoft offers robust support without a high amount of extra cost to add this product on into our existing support contract. No new onsite personnel as required and training sessions and manuals were included. Very fast response and problem resolution were made available. Detailed configuration guidance was provided at no extra cost. Patching was a bit too frequent.

Incentivized

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

Azure Bot Services is part of Azure subscription so it is ideal to have apps working [on] one platform so as to manage resources effectively.

Make has more community of workflows to follow that have been redeveloped and are available for download. Selecting WxO is based on our trust level with IBM and the propositions of the Granite model being less biased, more business trained, and the ecosystem allowing for expansion with Assistant and Discovery.

Incentivized

From past 3+ years I am using IBM Watson in our current project easily can implement and manage and monitor user how their using. Is there and update also just update dialog is just enough to change no need to touch any other templates. Multiple language will support, and action and dialog speak recognize chatbot we can create as per client requirement. Overall, as of now good experience with IBM Watson.

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.

• By automating tasks that would otherwise require human intervention, organizations may achieve cost savings in terms of labor, especially for handling large volumes of routine inquiries.
• Virtual assistants can handle a large number of simultaneous interactions, making them scalable to accommodate growing customer bases and increasing workloads without a linear increase in staffing.

Incentivized