IBM Watson Discovery Reviews and Ratings

Rating: 9.1 out of 10

Score

9.1 out of 10

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Community insights

TrustRadius Insights for IBM Watson Discovery are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Quick Response Time: Reviewers found the response time of the platform to be quick, enhancing their overall experience.

Valuable Automation Capabilities: Users praised the platform's automation features for saving significant time and effort in document analysis.

Versatile File Format Analysis: The platform's ability to analyze various file formats was highly valued by users. Additionally, its AI-powered data filtering without manual effort was commended.

Multiple Data Management Features: Users highlight the platform's capabilities in client monitoring, data analysis, management, and automation as valuable tools for enhancing productivity.

Reviews

26 Reviews

IBM Watson Discovery

Rating: 5 out of 10

Incentivized

September 15, 2025

Use Cases and Deployment Scope

Its advance OCR helps organization to recover valuable text from old editions of printed magazines

Pros

OCR which helps extracting text from old editions of magazines
It helps extracting text from low-quality scans which was stored in database, fonts which are not available now, and varied backgrounds.
As this works beyond traditional keyword-based search by leveraging Natural Language Processing (NLP) and machine learning to understand context, this helps lot.

Cons

Prices always comes first when asked for improvement. Little pricey compare to other products in competition
Slow performance with large set of data.
Complex setup

Likelihood to Recommend

It suits when recovery from old, unclear text, poor scan.

Lalit Goel

Deputy Manager in Information Technology at TV Today Network Limited (501-1000 employees)

Vetted Review

2 years of experience

View profile

Efficient content creation and data optimization platform

Rating: 10 out of 10

Incentivized

July 10, 2024

Use Cases and Deployment Scope

IBM Watson Discovery gives my team working base for doing thorough market research. It offers efficient data analysis services after data collection from social media platform and online blogs. It has established reliable engagement infrastructure enhances direct customer interaction. It provides comprehensive data insights that enhances effective decision-making. This product has provided reliable solution for adverse business effects.

Pros

Provision of comprehensive business insights
Content optimization
Enhancement of productive customer engagements.

Cons

There are no missing functionalities from this software.
I have not observed any challenge from the overall performance.

Likelihood to Recommend

I have been able to make informed decision on efficient content that we can publish on our social sites with suitable data. It provides real-time insights that enables my team to analyze business trends that anticipate market changes. Predictive data analytics has enhanced strategic forecasting that enables the organization to address consumer preferences.

Susan Green

Product Marketing Manager in Marketing at Smartpay New Zealand (51-200 employees)

Vetted Review

2 years of experience

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Data Value Unravelled with Cloud Based Insights from IBM Watson Discovery.

Rating: 9 out of 10

June 18, 2024

Use Cases and Deployment Scope

IBM Watson Discovery is applied in our chatbot for a seamless customer service experience. Also the cloud based Insight architecture of IBM Watson Discovery that unraveled the value of our data: automated data retrieval and NLP content simplification. That saved our time and now makes data control much more accessible. It was also easy with Watson's graphical user interface to train the models of natural language processing in adjusting chatbot templates well. With IBM Watson Discovery, our products and customer satisfaction have increased tenfold. So easy and effective that we were astounded. Overall, IBM Watson Discovery is top notch in sentiment analysis and web service integration.

Pros

Its flexible, no-code platform allows easy integration into our chatbots.
It accelerates the development of cognitive applications with its simple query language and automatic data ingestion.
Can process almost every type of file format.

Cons

Their lowest tier plan only allows a limited number of Discovery instances.
The pricing also increases significantly if you choose to use a higher tier plan.

Likelihood to Recommend

I'm most likely to recommend IBM Watson Discovery. As its cloud based Insight architecture saved our time by automating data gathering and simplifying the content of NLP. Moreover, using the graphical interface, we efficiently trained NLP models, which allowed us to receive a noticeable increase in customer satisfaction.

Verified User

C-Level Executive in Corporate (51-200 employees)

Vetted Review

5 years of experience

IBM Watson Discovery CRM use case

Rating: 9 out of 10

May 14, 2024

Use Cases and Deployment Scope

We use IBM Watson Discovery to obtain the most relevant answers from our knowledge database. Our goal is to reduce the time taken to generate an answer to our customers using different social networks.

Pros

Trainings procedure
Response time
Support

Cons

Error detection
documentatiom

Likelihood to Recommend

Document uploaded is not automated so generating and uploading the required information may take some scripting skills. Also the training procedure is based on click select the best batch. So this may not be the perfect tool when the data changes constantly.

Verified User

Engineer in Engineering (5001-10,000 employees)

Vetted Review

3 years of experience

Great tool to analyse and extract useful information from your data.

Rating: 8 out of 10

Incentivized

April 10, 2024

Use Cases and Deployment Scope

We use IBM Watson Discovery in our organization to efficiently and accurately analyse our data and extract useful data points and insights to further improve our software. And all this can be done by using their powerful API which not only is fast and accurate but can analyse almost every type of document such as pdf, excel, word, txt etc. So now we don't need anyone to manually extract data from these files or hire freelancers to do it for us.

Pros

Help us analyse and extract useful data points and insights.
Powerful API which is both fast and accurate.
Can analyse almost every type of file including word, pdf, excel, txt etc.
No need to hire anyone or a freelancer to extract the data.

Cons

Better predefined queries to quickly analyse data after setting it up.
Need better OCR as it struggles with any data have images.

Likelihood to Recommend

If your main goal is to only analyse data that only includes texts, then you should go with IBM Watson Discovery as it is really good at it and the API that it provides is really powerful and analyses almost every types of file. But if your data includes images, then IBM Watson Discovery may not be the best choice for you as it struggles with OCR.

Verified User

Analyst in Research & Development (51-200 employees)

Vetted Review

3 years of experience

IBM Watson Studio makes data analysis and report generation very easy.

Rating: 9 out of 10

Incentivized

April 8, 2024

Use Cases and Deployment Scope

IBM Watson Discovery is a very useful data tool that we use and it helps us automate our workflow and increase productivity by efficiently sorting, trimming and analysing our data. It is also integrates really well with other 3rd party and IBM products so you won't run into any issue while using it. Additionally, you can easily generate detailed reports of your analysed data and let me tell you, they can also display the report on a graph too which is really useful and you won't regret using them.

Pros

Increase your efficiency and overall productivity.
Sort, trim and analyse your data.
Can provide reports in graphs if needed.

Cons

High resource consumption which may increase overall cost.

Likelihood to Recommend

There are several software that would sort, trim and analyse your data but we wanted to get the report of the analysed data in graphs and IBM Watson Discovery does display your reports in graphs if you need them to be. So if you need such functionality then you should go with it though the cost is quite high due to it's heavy resource consumption.

Verified User

Manager in Research & Development (201-500 employees)

Vetted Review

4 years of experience

A good finding for a big data start up

Rating: 8 out of 10

Incentivized

March 25, 2024

Use Cases and Deployment Scope

We have a huge amount of complex events to analyze and find value on their patterns. In this way, our test environments with IBM Watson Discovery demonstrated to be really useful. We also tried to do the same with ChatGPT and other similar AI tools.

Pros

Saves a lot of time analyzing documents
Generates interesting insights from them (non evident)
Performs with an acceptable performance over complex information

Cons

Language feature (currently in Beta stage) that's really necessary for our field. We analyze lots of documents related to items sold. This data contains lots of language specific information.
Better insights on the ingestion process, in order to detect errors or failures.
Better documentation on every step of its data processing.

Likelihood to Recommend

You have lots of sold items data and you look for patterns that would been useful for your customers (usually e-shops). In this case, that's great to process with stability massive amounts of information and finding answers to questions still not asked.

Also business as usual insights are provided in a reasonable time. What still should be clearer, imho, that's how to the process performs internally and if we are doing good or poor use of the tool (also an AI based advisor would be great).

Verified User

Employee in Research & Development (51-200 employees)

Vetted Review

1 year of experience

Like Sherlock, you'll be needing your Watson too! Not a person, just the AI! wink wink

Rating: 7 out of 10

Incentivized

March 20, 2024

Use Cases and Deployment Scope

I was able to use IBM Watson Discovery to revise our company policies and regulations. We made amendments and made sure to include all important details. Plus, we used references to provide in-depth details on each regulation. There were a lot of documents that we needed to review in a limited amount of time, and Watson helped.

Pros

Fast results.
Provides overview and references that we could use as basis on other documents.
Easy to use!

Cons

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.

Likelihood to Recommend

IBM Watson Discovery has been very helpful in providing references when we amended policies and regulations. Later, we also applied it by making our standard operating procedures per each platform and program we used. We were initially reluctant to try it, but it's a good thing that Watson offers a free trial.

Verified User

Administrator in Finance and Accounting (51-200 employees)

Vetted Review

1 year of experience

Better software than free and open sourced alternatives.

Rating: 8 out of 10

Incentivized

March 17, 2024

Use Cases and Deployment Scope

We're using IBM's Watson X as part of the application engineering excellence to create applications using lesser bugs and more standardized coding practices in the local as well as higher environments.

Pros

Automated code generation
data extrapolation
data filtering

Cons

User Interface
technical documentation

Likelihood to Recommend

This is an average software used mostly in legacy environments to quickly enhance a given project with minimum of breaks. However, this has to be judiciously applied to ensure that there is not any form of issues which may arise in future.

Verified User

Engineer in Marketing (10,001+ employees)

Vetted Review

1 year of experience

Impactful Sentiment Analysis With Power of NLP.

Rating: 9 out of 10

Incentivized

November 24, 2023

Use Cases and Deployment Scope

IBM Watson Discovery is like our document superhero. It dives into texts, understanding them with Smart Document Understanding. Imagine it as a wizard—using Optical Character Recognition to pull insights from images, even in tricky situations. No more keyword struggles; it guides us smoothly through documents with JSON output. Natural Language Processing adds emotions to the mix, enriching our understanding. It's user-friendly, letting us shape it without tech headaches. Custom entity extraction? It's like teaching it our own language. From insurance to legal jargon, Watson Discovery makes our work feel like a breeze.

Pros

Insightful Image Text Extraction: Its OCR excels in extracting insights from images, overcoming challenges like irregular fonts and low resolution.
Best NLP of Watson, Watson Discovery's faceted search and NLP enrichments redefine document searches, offering intuitive navigation and nuanced insights for better decision-making.

Cons

IBM Can Enhanced There OCR Adaptability.
Simplifying the process of custom entity extraction could enhance user experience.

Likelihood to Recommend

In our education sector, Watson Discovery is well-suited for analyzing academic research papers. Researchers and educators can leverage its capabilities to swiftly extract insights, navigate through extensive documents, and apply Natural Language Processing enrichments. This aids in efficiently identifying key concepts, sentiments, and relationships within scholarly content, streamlining the research process.

Rachna Verma

Assistant Director of Business Operations in Professional Services at Sunacademy (11-50 employees)

Vetted Review

1 year of experience

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