IBM Watson Discovery

Score8.8 out of 10

68 Reviews and Ratings

What is IBM Watson Discovery?

IBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.

Categories & Use Cases

#1 most frequent

Professional, Scientific, and Technical Services

38.5%

10 installations of 26

#2 most frequent

Information

26.9%

7 installations of 26

#3 most frequent

Finance and Insurance

23.1%

6 installations of 26

Lalit Goel View profile

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

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

Return on Investment

ROI is not impressive
Slow in performance when there is a large pool of data
Challenges while integrating with API or platforms which is not compatible.

Usability

Alternatives Considered

Azure AI Document Intelligence and Alibaba Cloud Elastic Compute Service (ECS)

Other Software Used

AWS App Mesh, Google Analytics, Microsoft 365

Susan Green View profile

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

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.

Return on Investment

We have recorded the largest growth and positive ROI of 75% since we deployed this software.

Usability

Verified User

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

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.

Return on Investment

It is used to identify insights in unstructured data and integrates well with third party software.
Offers excellent web services integration and sentiment analysis capabilities.
Allows seamless integration in any programming language.

Other Software Used

IBM watsonx Assistant, IBM watsonx.ai, IBM API Connect

Leah Patterson Moore View profile

Robotic Process Automation Consultant in Information Technology at Ingram Micro (10,001+ employees employees)

Use Cases and Deployment Scope

This high-quality Artificial Intelligence Platform maintains consistency in the monitoring of all data while having an optimal automation system for internal processes, making this software ideal for any organization that remains in constant dealing with customers, that is, its ability to reduce the work done by customer service representatives is unbeatable, which makes all responses and content clearer and resolution easy and fast.

Pros

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.

Cons

It should have a lot more free features, at least in the beginning, to get more information and dig deep.
Some improvements in its interface I would like to see in new updates.

Most Important Features

Text learning and analysis system.
Simultaneous document control.
Compatibility with numerous formats.
Good artificial intelligence system.

Return on Investment

Saving time in information processes.
Characteristics of analysis of documents from different sources.
Compilation of reports.
Compatible with all formats.

Rachna Verma

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

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.

Return on Investment

The price for IBM Watson Discovery is considered high, yet it offers up to a 90% reduction in text analysis time.

Alternatives Considered

IBM Process Mining

Other Software Used

IBM Process Mining, Hubstaff, Time Doctor

Coveo Relevance Cloud

Elasticsearch

Azure AI Search

Amazon Elasticsearch Service

UiPath Document Understanding

IBM Watson Discovery

What is IBM Watson Discovery?

Categories & Use Cases

Most Frequent Users

Professional, Scientific, and Technical Services

Information

Finance and Insurance