IBM Watson Studio on Cloud Pak for Data vs. Microsoft Copilot Studio

It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.

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Where you have a very finite and specific use case, that matches well with the intended use case of the product, it tends to be a great fit. For example we created a plain language chatbot which can rewrite any given piece of text into plain language, referring to specific internal standards.

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• Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
• SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
• Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
• Estimator validation lets data scientists test and prove different models.

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• Agentic workflows
• AI chatbots
• Deploying via Teams
• Multiple knowledge sources

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• The cost is steep and so only companies with resources can afford it
• It will be nice to have Chinese versions so that Chinese engineers can also use it easily
• It takes a while to learn how to input different kinds of skin defects for detection

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• Ability to combine multiple sources in one query (indexing)
• SharePoint integration - word count limit detrimental
• Clearer communication and understanding of features and limitations

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because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)

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The UI flawlessly merges this offering by providing a neat, minimal, responsive interface

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Microsoft Copilot Studio is very easy to design new chatbot agents and deploy them to users, it revolutionises the ability to develop and deploy these types of solutions at scale. It does something similar to Power Automate - where it is a low/no code solution that enables tech capabilities not easily possible prior.

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From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected

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Never had slow response even on our very busy network

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I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path

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The trainers on the job are very smart with solutions and very able in teaching

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The Platform is very handy and suggests further steps according my previous interests

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It surprised us with unpredictable case of use and brand new points of view

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The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.

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Really there is no other solution for enterprises than Microsoft Copilot Studio, as every business in New Zealand is already using MS licensing and backend infrastructure. This addition is game changing for those who otherwise would be locked out of solutions that would require new licensing structures to enable these capabilities.

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It helped us in getting from 0 to DSX without getting lost

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• Could instantly show data driven insights to drive 20% incremental revenue over existing results
• Still don't have a real use case for unstructured data like twitter feed
• Some of the insights around user actions have driven new projects to automate mundane tasks

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• Speed of delivery
• Scale of deployment
• Increase of access

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info