Accenture's myWizard is a business automation tool designed to help organizations take advantage of automation to improve business agility, customer experience and innovation.
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IBM watsonx Assistant
Score 9.0 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.
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Accenture myWizard
IBM watsonx Assistant
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$140
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Accenture myWizard
IBM watsonx Assistant
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Yes
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Yes
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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.
I would recommend Accenture myWizard to anyone who is looking for: 1. Enhancing their delivery productivity by using data analysis 2. To identify automation cases and get the suggestions for best automation tools to be used 3. Reduction in IT costs 4. Scalable self-healing framework which leverages AI and machine learning
We've only implemented this tool for HR, but it's been great so far. Of course, with any chatbot, it's only as good as your input, but we can see the benefits already. Automating responses to certain questions alleviates potentially wrong responses (human error). I would recommend testing out many questions before sending them to employees.
It helps in Ticket Inflow analysis (both qualitative and quantitative) and provides Prescriptive, Predictive, and Descriptive insights, and correlates large volumes of information
It is also majorly useful as Automation opportunity finder. Helps delivery engagements to understand their current process baselines and Automation maturity level, and identify Automation and Optimization opportunities and potential benefits
Project health check prediction. It helps in predicting the overall status of projects for the required timeline and also recommends past issues faced by similar project and respective actions taken.
It can improve in its integration capabilities. Currently we can integrate it with any Ticketing tool but usually it takes time due to many intricacies and this can be improved.
For few graphs and chart categories, we do not have the option to see the related incidents for that graphs. This is a drawback currently and I have been notified that its been worked upon and will be available in coming versions.
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!).
Accenture mywizard gives more efficient Automation cases and also provides the best tools required for those cases. The difference is in the quality of test cases, and that helps in giving a scalable and sustainable solution. This has a major impact on ROI, thus I would prefer Accenture myWizard.
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.
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.
