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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

    Olark

    Score10 out of 10
    N/AOlark is a website live chat tool for engaging website visitors while they browse. It can be used to to track leads, drive sales, provide support.

    $15

    per month

    Pricing
    IBM watsonx.aiOlark
    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
    Self Service
    $19.00
    Per Agent Per Month
    Offerings
    Pricing Offerings
    IBM watsonx.aiOlark
    Free Trial
    YesYes
    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.aiOlark
    Considered Both Products
    IBM
    No answer on this topic
    Olark
    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.aiOlark
    AI Development
    Comparison of AI Development features of IBM watsonx.ai and Olark
    Feature
    IBM watsonx.ai
    6.6
    2 Ratings
    13% below category average
    Olark
    -
    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
    Chat Analytics and Reports
    Comparison of Chat Analytics and Reports features of IBM watsonx.ai and Olark
    Feature
    IBM watsonx.ai
    -
    Ratings
    Olark
    10.0
    1 Ratings
    14% above category average
    Chat history and transcripts00 Ratings10.01 Ratings
    Chat reporting00 Ratings10.01 Ratings
    Chat and web analytics00 Ratings10.01 Ratings
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    IBM watsonx.aiOlark
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    Enterprises
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    Genesys DX (discontinued)
    Score10 out of 10
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    User Ratings
    IBM watsonx.aiOlark
    Likelihood to Recommend
    9.2
    (36 ratings)
    10.0
    (18 ratings)
    Likelihood to Renew
    6.4
    (1 ratings)
    8.6
    (5 ratings)
    Usability
    7.7
    (6 ratings)
    10.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    9.8
    (2 ratings)
    Ease of integration
    6.4
    (2 ratings)
    -
    (0 ratings)
    Product Scalability
    9.1
    (1 ratings)
    8.0
    (1 ratings)
    User Testimonials
    IBM watsonx.aiOlark
    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
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    Olark
    Olark chat is easy to set up and use. You can have more than one user logged in to monitor the chat on different computers. This makes a fast response time more likely. Although you have to be sure to keep your volume up on the computer so you hear the sound letting you know there's a chat waiting. I like that you can see the customers path through the website and you can put clickable links while you are in a chat to guide the customer to a product or a help page. Plus you can see if they actually went there. This makes it easier to upsell
    Incentivized
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    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
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    Olark
    • Olark is user friendly for both sides of the CHAT conversation. If you are initiating the chat, or the one receiving the chat, it is extremely easy to follow and use. There are many different levels of computer use comprehension and Olark is for every level.
    • Olark has reporting features to allow you to check the quality of your employees chat abilities as well as their productivity. It provides feedback for the employee themselves to also see how they are doing and take any suggestions the customer may leave for them regarding their chat experience.
    • Olark is very affordable and offers you the option, at a low cost, to look bigger and more professional that you even are. We were a smaller company and has the chat option with Olark and now have grown tremendously and STILL have the Olark chat option. Olark allowed us to grow and provide professionalism to our customers .
    • The Olark program allows you to set up quick responses to keep your customer from waiting, and to allow your employees to not have to retype the same response over and over. It is a great program that the employees really enjoy as well. It reminds you if you forgot to log out when you left your desk and provides your customer a quick note giving them the option to send the chat as an email inquiry instead, so you don't miss a thing.
    Incentivized
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    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
    Olark
    • Not really an area of improvement for Olark specifically, but I will offer that it is incredibly important to keep in mind your company's "shopping hours" or peak traffic times (there is a Reports feature on the software that allows you to analyze peak traffic times).
    • Transcript history can be a little tricky - if you're searching for a specific past conversation, sometimes you may get multiple search results and have to sift through them until you find exactly what you're looking for.
    • I'd also offer that you will occasionally come across folks that are on your site to cyberbully or say nonsensical things. While there isn't an absolute fullproof way to deal with this, Olark does offer a nice "block" feature to disregard any unwanted conversations.
    Incentivized
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    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
    Olark
    To be honest, renewal decisions are not currently within my power. Hypothetically speaking, I'm very comfortable with the platform, have used it daily for nearly a year, and would see no reason to switch to anything else. The small criticisms I had are not significant enough to deter me from using Olark. It's a user friendly, effective tool for our department.
    Read full review
    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
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    Olark
    It is simply easy and customizable to be exactly what you need it to be
    Incentivized
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    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
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    Olark
    Our organization does not have any complaints about Olark's Support. Anytime we reached out to them for assistance, we received a prompt, helpful reply! As mentioned previously, we used Olark fairly basically so we didn't have too much need to work with their support team other than a few general questions here and there. They were always pleasant to work with.
    Incentivized
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    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
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    Olark
    Olark has an easier implementation process and has better functionality such as the ability to send commands through the platform to either create a ticket in your CRM or push an opportunity to salesforce; you're even able to 'push' the end user to a web page. Implementing their SDK is a snap as well.
    Incentivized
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    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
    Olark
    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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    Olark
    • Olark allows my customer support team to respond to inquiries much faster than before.
    • We have seen an uptick in sales as we are able to address more questions from website visitors.
    • We have changed the design of our website based on chat feedback and questions obtained through Olark.
    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.