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IBM Watson Discovery vs. Verint Speech and Text Analytics

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Watson Discovery

    Score9 out of 10
    N/AIBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.N/A

    Verint Speech and Text Analytics

    Score8.4 out of 10
    N/AVerint Speech Analytics is a tool used to transcribe and analyze millions of calls to discover customer insights and improve contact center performance in the cloud.N/A
    Pricing
    IBM Watson DiscoveryVerint Speech and Text Analytics
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Watson DiscoveryVerint Speech and Text Analytics
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Watson DiscoveryVerint Speech and Text Analytics
    Considered Both Products
    IBM
    No answer on this topic
    Verint
    No answer on this topic
    Key User Insights
    Would buy again
    81%
    Would buy again
    21 Answers
    97%
    Would buy again
    90 Answers
    Delivers good value for the price
    74%
    Delivers good value for the price
    14 Answers
    100%
    Delivers good value for the price
    66 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    26 Answers
    92%
    Happy with the feature set
    86 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    18 Answers
    98%
    Lived up to sales and marketing promises
    47 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    23 Answers
    81%
    Implementation went as expected
    56 Answers
    Best Alternatives
    IBM Watson DiscoveryVerint Speech and Text Analytics
    Small Businesses
    Elasticsearch
    Score8.5 out of 10
    Dragon Speech Recognition
    Score7.8 out of 10
    Medium-sized Companies
    Elasticsearch
    Score8.5 out of 10
    No answers on this topic
    Enterprises
    Amazon CloudSearch
    Score8.5 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Watson DiscoveryVerint Speech and Text Analytics
    Likelihood to Recommend
    8.3
    (26 ratings)
    8.3
    (93 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    9.3
    (4 ratings)
    Usability
    4.8
    (3 ratings)
    7.8
    (74 ratings)
    Availability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    3.0
    (1 ratings)
    Support Rating
    10.0
    (2 ratings)
    -
    (0 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    User Testimonials
    IBM Watson DiscoveryVerint Speech and Text Analytics
    Likelihood to Recommend
    IBM
    Overall, IBM Watson Discovery is an amazing technology that we use with our clients to address various business problems, but the biggest challenge has always been about ingesting, analyzing, enriching, and searching huge collections of documents and allowing our end users and SMEs to be able to search for what they need to reduce the time and efforts spent daily on a manual search through various collections of documents. We have successfully managed to reduce manual work by over 80%, and now our SMEs are being used for the skills they have to gather insights rather than do manual work.
    Incentivized
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    Verint
    In my experience, a lot of the times Verint Speech and Text Analytics is going to be the cheapest solution and this would be a good reason for a Business that does NOT currently have any solution whatsoever to get in at the cheaper price point. I think Verint does things well for a company that has not been in another solution that does it better. And Verint Speech and Text Analytics has a lot of areas that it can help business with that have not been in a different solution
    Incentivized
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    Pros
    IBM
    • It is an excellently fast platform with documents and the answers to queries.
    • With automation learning beneficial as it saves time.
    • When searching for a document, everything stays located and easy to find.
    • Acceptance of various documents.
    • It has a quite comfortable Technical support, always available when required.
    Incentivized
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    Verint
    • One of the things that I find extremely beneficial about Verint Speech Analytics is the transcription. Sometimes you have an hour call, an hour and a half call, and you don't have time to listen to an hour and a half call. The beauty is that we can find the transcription and then we can look in it. It specifies where if you look in the interaction details in the back of the call, you can actually see the transcription. You can see it'll identify where in the call, what line at what timestamp did that call hit your category and with what string, with what term did it hit. And that is extremely beneficial. And we're trying to go through and find those little points of, sometimes they're points of abrasion, sometimes there are things that are going really well. I love that we have a transcription. I love that we can also see the screens that is vital because a lot of times, and again, not that we're trying to find something bad, but the reality is in any industry, there's in any call center environment, should I say, there's call avoidance. There's always going to be some agents, it's just in any call center, in any industry, it happens.
    • Or sometimes our agents are just struggling. And if you see in real life, for example, a very high silence time, when we notice a trend, we'll start going into those calls and actually looking at those screens and seeing, is silence time call avoidance or could it be the agents are having difficulty utilizing the resources? Are the resources not clear? Is that what the delay is? Are they having trouble trying to find the answer? And a lot of times we found that too. We found they're searching and clicking and searching and clicking and it's because they just didn't know where to go. So that is a coaching opportunity. And sometimes it's a coaching opportunity, not so much in a positive way because they're purchasing things from Amazon. But I think, like I said, that's inherent in any call center environment. I do find the screens, the transcription, the trend analysis that's available within speech, there are so many things I could literally sit here and talk to you for quite some time.
    • We love it. And I'm even more excited personally now because I learned so much, as I was saying, about being in the cloud and being in that open-source environment where all of these enhancements that Verint has. And they're so often that they enhance their products and their offering now these little bots and AI to help with all of these different aspects, but that's only available if you're in the cloud and the open source. So there's a lot of benefit in being in prem, in net platform, which is where we are. And we were able to provide a lot of meaningful insight and guidance into a lot of different pain points in the company. But I anticipate, and I have full confidence, that we'd be a much more effective team once we're able to move into the cloud. So I'm very hopeful for that. I'm anticipating what else we could discover.
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    Cons
    IBM
    • I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
    • The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
    • Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.
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    Verint
    • Automated scrubbing of PCI and PII data from transcription transcripts and recordings. Using AI to detect the payment screens in a real time manner vs having to program triggers.
    • Easier way to bulk export transcriptions and recordings for our legal teams.
    Incentivized
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    Likelihood to Renew
    IBM
    No answers on this topic
    Verint
    So excited for all the new bot functionality that is to come with Verint Interaction Analytics. AI is the future and Verint is leading the way!
    Incentivized
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    Usability
    IBM
    IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.
    Incentivized
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    Verint
    Easy to use, the language model can be custom-tuned to your company's specific lingo and terms. It also has great front-end reporting and ease of back-end custom reports and integrations to the rest of the Verint ecosystem. This is a one-stop shop for great insights and a stepping stone to much more.
    Incentivized
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    Reliability and Availability
    IBM
    No answers on this topic
    Verint
    There are few unplanned outages within the platform
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    Performance
    IBM
    No answers on this topic
    Verint
    There is often latency within the Speech Analytics module.
    Incentivized
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    Support Rating
    IBM
    Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.
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    Verint
    No answers on this topic
    Alternatives Considered
    IBM
    Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or research. If you own or plan to use other services from the IBM Watson family, there is no doubt that Watson discovery is your best option. Another important point is if you plan to use a cloud or on-premise service (local server or private cloud).
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    Verint
    We did not have anything like this before but we did go through a long review and found out no other company had everything we needed. With our security and technology department we did decide that this was the best product for our business. Have all great thing to say and would recommend this to everyone
    Incentivized
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    Scalability
    IBM
    No answers on this topic
    Verint
    The system is relatively reliable with minimal downtime. However, when there is an issue, it is often addressed slowly and causes significant business issues
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    Return on Investment
    IBM
    • We find its Enterprise plan expensive for a country of LATAM. For US or Europe based businesses, looks great.
    • A Big Data and massive queries based company would find the service expensive. Maybe a flat price plan would be helpful.
    • Have you thought in making a cheaper plan where you take the learning from your customer's data to enrich your AI tool?
    Incentivized
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    Verint
    • We are still developing ROI; we have a lot of data, but it's hard to get insights from the data at times. Adoption is something we are working on evaluating.
    • We have alerts that have saved us $ on benefit quoting errors.
    Incentivized
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    ScreenShots