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 Orchestrate
Score 8.3 out of 10
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IBM® watsonx™ Orchestrate® leverages AI to automate complex workflows. The solution helps build, deploy, and manage AI assistants and agents. It offers a catalogue of pre-built agents and tools, low-code agent builder, multi-agent collaboration capabilities, and integrations with enterprise apps.
$500
per month
Pricing
Accenture myWizard
IBM watsonx Orchestrate
Editions & Modules
No answers on this topic
Essential
$500
per month per subscription
Essentials
$500
per month Per subscription
Standard
Enterprise
Standard
Enterprise
per month Per subscription
Offerings
Pricing Offerings
Accenture myWizard
IBM watsonx Orchestrate
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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IBM watsonx Orchestrate can be deployed and run on IBM Cloud, AWS, or on-premises. Prices shown are indicative, may vary by country, exclude any applicable taxes and duties, and are subject to product offering availability in a locale.
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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.