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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM watsonx.ai

    Score8.8 out of 10
    N/AWatsonx.ai is part of the IBM watsonx platform that brings together new generative AI capabilities, powered by foundation models, and traditional machine learning into a studio spanning the AI lifecycle. Watsonx.ai can be used to train, validate, tune, and deploy generative AI, foundation models, and machine learning capabilities, and build AI applications with less time and data.

    $0

    LivePerson Conversational Cloud

    Score8.7 out of 10
    N/AThe LivePerson Conversational Cloud is a contact center solution used to create personalized, connected customer experiences across voice and messaging. The solution balances human agents, intelligent automations, and Conversational AI, across voice and messaging.N/A
    Pricing
    IBM watsonx.aiLivePerson Conversational Cloud
    Editions & Modules
    Free Trial
    $0
    ML functionality (20 CUH limit /month); Inferencing (50,000 tokens / month)
    Standard
    $1,050
    Monthly tier fee; additional usage based fees
    Essentials
    Contact Sales
    Usage based fees
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM watsonx.aiLivePerson Conversational Cloud
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional DetailsPricing for watsonx.ai includes: model inference per 1000 tokens and ML tools and ML runtimes based on capacity unit hours.—
    More Pricing Information
    Community Pulse
    IBM watsonx.aiLivePerson Conversational Cloud
    Considered Both Products
    IBM
    No answer on this topic
    LivePerson
    No answer on this topic
    Key User Insights
    Would buy again
    98%
    Would buy again
    45 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    36 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    46 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    30 Answers
    No answers on this topic
    Implementation went as expected
    89%
    Implementation went as expected
    33 Answers
    No answers on this topic
    Features
    IBM watsonx.aiLivePerson Conversational Cloud
    AI Development
    Comparison of AI Development features of IBM watsonx.ai and LivePerson Conversational Cloud
    Feature
    IBM watsonx.ai
    6.6
    2 Ratings
    13% below category average
    LivePerson Conversational Cloud
    -
    Ratings
    Machine learning frameworks6.73 Ratings00 Ratings
    Data management6.43 Ratings00 Ratings
    Data monitoring and version control5.83 Ratings00 Ratings
    Automated model training6.43 Ratings00 Ratings
    Managed scaling7.03 Ratings00 Ratings
    Model deployment6.43 Ratings00 Ratings
    Security and compliance7.63 Ratings00 Ratings
    Contact Center Software
    Comparison of Contact Center Software features of IBM watsonx.ai and LivePerson Conversational Cloud
    Feature
    IBM watsonx.ai
    -
    Ratings
    LivePerson Conversational Cloud
    6.9
    1 Ratings
    20% below category average
    Agent dashboard00 Ratings8.01 Ratings
    Validate callers00 Ratings8.01 Ratings
    Outbound response00 Ratings8.01 Ratings
    Click-to-call (CTC)00 Ratings7.01 Ratings
    Warm transfer00 Ratings7.01 Ratings
    Call scripts00 Ratings6.01 Ratings
    Call tracking00 Ratings8.01 Ratings
    Multichannel integration00 Ratings5.01 Ratings
    CRM software integration00 Ratings5.01 Ratings
    Workforce Optimization (WFO)
    Comparison of Workforce Optimization (WFO) features of IBM watsonx.ai and LivePerson Conversational Cloud
    Feature
    IBM watsonx.ai
    -
    Ratings
    LivePerson Conversational Cloud
    8.0
    1 Ratings
    4% below category average
    Quality management00 Ratings8.01 Ratings
    Call analytics00 Ratings8.01 Ratings
    Historical reporting00 Ratings8.01 Ratings
    Live reporting00 Ratings8.01 Ratings
    Customer surveys00 Ratings8.01 Ratings
    Customer interaction analytics00 Ratings8.01 Ratings
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    IBM watsonx.aiLivePerson Conversational Cloud
    Small Businesses
    Saturn Cloud
    Score7.8 out of 10
    Zendesk Talk
    Score8.5 out of 10
    Medium-sized Companies
    DataRobot
    Score8.2 out of 10
    Genesys Multicloud CX (discontinued)
    Score8 out of 10
    Enterprises
    DataRobot
    Score8.2 out of 10
    Bright Pattern Contact Center
    Score8.4 out of 10
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    User Ratings
    IBM watsonx.aiLivePerson Conversational Cloud
    Likelihood to Recommend
    9.2
    (36 ratings)
    9.0
    (78 ratings)
    Likelihood to Renew
    6.4
    (1 ratings)
    10.0
    (10 ratings)
    Usability
    7.7
    (6 ratings)
    -
    (0 ratings)
    Ease of integration
    6.4
    (2 ratings)
    -
    (0 ratings)
    Product Scalability
    9.1
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM watsonx.aiLivePerson Conversational Cloud
    Likelihood to Recommend
    IBM
    I have built a code accelerator tool for one of the IBM product implementation. Although there was a heavy lifting at the start to train the model on specifics of the packaged solution library and ways of working; the efficacy of the model is astounding. Having said that, watsonx.ai is very well suited for customer service automation, healthcare data analytics, financial fraud detection, and sentiment analysis kind of projects. The Watsonx.ai look and feel is little confusing but I understand over a period of time , it will improve dramatically as well. I do feel that Watsonx.ai has certain limitations from cross-platform deployment flexibility. If an organization is deeply invested in a multi-cloud environment, Watson's integration on other cloud platforms may not be seamless comported to other AI platforms.
    Incentivized
    Read full review
    LivePerson
    Liveperson LiveEngage is good for larger deployments with lots of agents, and where the rollout plan is broad with respect to the visitors who you will be targeting. It allows you to manipulate more of the data for reporting than many other platforms. The premium cost and some drawbacks with configuring smaller groups might make it lose some appeal for smaller companies or deployments.
    Incentivized
    Read full review
    Pros
    IBM
    • It allows specialists to apply several base models for specific subtasks in the field of NLP.
    • Gives the availability of many models developed for AI enhancement for different solutions.
    • Has incorporated functionality for data governance and security to support access to AI tools by multiple users.
    Incentivized
    Read full review
    LivePerson
    • Integrates very well with Salesforce, our CRM software. As we disposition calls, the notes automatically generate on my customer's accounts, saving me valuable steps in documentation.
    • Call metrics gathered in Tenfold are used for measuring productivity across all of the sales team. Reporting is done through Salesforce, once again speaking volumes of the integration capabilities.
    • The clarity and consistency of quality of calls are outstanding! Very little delay, static or feedback.
    Incentivized
    Read full review
    Cons
    IBM
    • IBM watsonx.ai is expensive than other platforms.
    • Limited integraions though it has many but still some tools integrations not there for medical usecase
    • Its little difficult to learn as right now not many open reseouces
    • Community is not that strong to get any answer
    Incentivized
    Read full review
    LivePerson
    • There is no ability to customize the popup. It is stuck in one place (bottom right) and can't be moved. Just adding something as simple as being able to move it up and down would make a world of a difference. I don't know how many times the popup got in the way of other information I was trying to look at.
    • It would, of course, be a much better product if the popup were it's own app that could be docked anywhere on the screen. Tying the popup to Chrome really keeps this software from being the best it could be.
    • There are no skins, color options, customize options, or anything like that for the popup window. There is nothing you can do to affect how it looks, what information is on it, and where it is docked. Solve those three issues, and you have an amazing tool that is flexible and personable.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
    Incentivized
    Read full review
    LivePerson
    LivePerson has been a great tool for our company and everything is customized. We can customize everything from the canned responses, operator surveys, and customer surveys. We receive a lot of positive information from our customers; and to be able to provide technical support of the website as well as status information for already placed orders is awesome
    Incentivized
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    Usability
    IBM
    I needed some time to understand the different parts of the web UI. It was slightly overwhelming in the beginning. However, after some time, it made sense, and I like the UI now. In terms of functionality, there are many useful features that make your life easy, like jumping to a section and giving me a deployment space to deploy my models easily.
    Incentivized
    Read full review
    LivePerson
    No answers on this topic
    Support Rating
    IBM
    I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
    Incentivized
    Read full review
    LivePerson
    No answers on this topic
    Alternatives Considered
    IBM
    IBM watsonx.ai has been far superior to that of Chat GPT AI. the UI elements prompt responses and overall execution of the AI was much better and more accurate compared to the competition. I can not recommend using this platform enough. Great job IBM. I hope the team behind this project continues to grow and prosper.
    Incentivized
    Read full review
    LivePerson
    I find the ease of use of Tenfold to be advantageous to all other platforms. It also appears that as future needs change, Tenfold will allow me to continue to structure my workday around Tenfold but use it in different ways that would scale to any changes in my process.
    Read full review
    Scalability
    IBM
    I still don't have enough experience, but i have seen a lot of demos and i have made some real world scenarios and so far so long every thing looks fine. I was at IBM Think 2025 and IBM TechXchange 2025 and the labs were really usefull and simple to understand.
    Incentivized
    Read full review
    LivePerson
    No answers on this topic
    Return on Investment
    IBM
    • Time saving to set up the infrastructure - without watsonx.ai we would have had to set up everything individually
    • The first point translates directly into cost savings
    • The compliance aspect was a game changer for us and provided us with the confidence to focus all our efforts only on IBM watsonx.ai
    Incentivized
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    LivePerson
    • This has definitely helped me monitor my own call volumes and helped me learn the best times to connect.
    • Tenfold has also saved me significant time using the 'click-to-dial' feature.
    • I still remain frustrated that some of the integration with Salesforce isn't as seamless as it could (or imi should) be; however overall it's still a valuable addition to my business tools.
    Incentivized
    Read full review
    ScreenShots

    IBM watsonx.ai Screenshots

    Screenshot of the foundation models available in watsonx.ai. Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models, and a family of IBM-developed foundation models of different sizes and architectures.Screenshot of the Prompt Lab in watsonx.ai, where AI builders can work with foundation models and build prompts using prompt engineering techniques in watsonx.ai to support a range of Natural Language Processing (NLP) type tasks.Screenshot of the Tuning Studio in watsonx.ai, where AI builders can tune foundation models with labeled data for better performance and accuracy.Screenshot of the data science toolkit in watsonx.ai where AI builders can build machine learning models automatically with model training, development, visual modeling, and synthetic data generation.