IBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.
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IBM watsonx Orchestrate
Score 8.3 out of 10
N/A
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.
$530
per month
PG Forsta HX Platform
Score 9.1 out of 10
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The PG Forsta HX platform, the technology and research solution formed from the Forsta solution based on the combined (through merger) technology of Dapresy, Confirmit, and FocusVision, and later by the acquisition of Press Ganey in 2022, is a customer experience management solution featuring both forms and text analysis to understand the Voice of the Customer.
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Pricing
IBM Watson Studio on Cloud Pak for Data
IBM watsonx Orchestrate
PG Forsta HX Platform
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
No answers on this topic
Offerings
Pricing Offerings
IBM Watson Studio
IBM watsonx Orchestrate
PG Forsta HX Platform
Free Trial
No
Yes
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
Yes
No
Entry-level Setup Fee
No setup fee
Optional
No setup fee
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.
IBM offers a deep neural network training workflow, with a flow editor interface similar to the one used in Azure ML Studio. However, the custom build modeling in IBM has notebooks such as Jupiter to program models manually using popular frameworks like TensorFlow, …
They are related - coming from the stable of IBM only. IBM Watson assistant specifically suited my pilot project because it was pretty straightforward and intuitive. IBM Watson Studio seemed to me like more of a super set, which could easily have all the features of IBM Watson …
I have not yet evaluated other products like IBM Watson Assistant, but I have read that Kore.ai competes well with IBM Watson Assistant for the first place as a market leader, and it has won the first place due to a number of reasons, including a more intuitive and customizable …
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.
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.
They have done a good job at helping us maintain the integrity of the project while transitioning to a completely new platform. Our Voice of the Customer program happens to consist of multiple surveys within one "master" so I guess logistically it could be considered complex
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.
Confirmit has a fairly shallow learning curve allowing someone with no experience to be able to create a simple survey with not much time invested in training.
Confirmit also has the flexibility to be used in very advanced ways. Whether modifying the display/page content's layout or modifying input types with jQuery, it is incredibly adaptable.
Confirmit (with v. 18) now collects data in a true SQL database which is far more robust and easy to administrate than some other methods of data storage.
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.
Ensure correct data collection. This is Confirmit's main goal, and which sometimes fails to succeed.
Integrated data back-up service. It would be great if we could look at the data from a couple days previous.
Interactive layout creator. Current layout creator is really "squared" as we say, it needs more flexibility with all the incoming technologies such as HTML5 and CSS3.
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.
From my point of view Confirmit has been a key tool in our organization. Without it we can't deliver what we do at this moment. Confirmit has proved that is a reliable, stable and easy to use tool. The few issues we found (as far as I know) were sent to Confirmit support team and fix them. Patching the product has been done faster and without large downtime of the product
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.
Confirmit is a very technical tool, it takes time for someone to get used to the interface, even when it could definitely be more intuitive or user friendly, this is part of Confirmit's strenghts that makes it one of the most robust data collection technologies out there.
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.
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
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!).
The support team is responsive and I can tell that they are actually trying to help get to the heart of the issues before making us try every possible solution available. They ask the right questions and test things before coming back to us with proposals. I like the support team at Confirmit.
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.
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.
Forsta has a strong product functionality and performance. Integration capabilities are fantastic and it has strong customer focus. Pre-existing relationships also helped in cracking this deal. People at Forsta are helpful and customer centric. Although cost is not highly competitive but it comes close to value for money. Competitors have quite a few functionalities but there are additional charges levied for them.
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.
I love Confirmit, the only negative is that my experience using any other program is always terrible in comparison.
I had Confirmit rep come into the office and was disapointed that they didn't have much informaton on how to use it as a researcher in marking research, perhaps employing more internal marketing researchers would help that.