Overview
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.
Great tool to analyse and extract useful information from your data.
IBM Watson Studio makes data analysis and report generation very easy.
A good finding for a big data start up
Like Sherlock, you'll be needing your Watson too! Not a person, just the AI! *wink wink*
Better software than free and open sourced alternatives.
An integrated automation tool, capable of tracking, storing and analyzing the data.
Impactful Sentiment Analysis With Power of NLP.
Great tool for Using Advanced NLP
Insights on using ibm watson discovery
Good document analysis and classification product.
Depths of Data with IBM Watson Discovery
Discovery is an amazing technology used for greater insights and better SME performance.
Discover information you didn't even know you were looking for.
A Pleasant Discovery of IBM Watson.
Awards
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Reviewer Pros & Cons
Pricing
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.
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Azure AI Search (formerly Azure Cognitive Search) is enterprise search as a service, from Microsoft.
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is IBM Watson Discovery?
IBM Watson Discovery Features
- Supported: Smart Document Understanding
- Supported: Semantic Search
- Supported: Content Mining
IBM Watson Discovery Competitors
IBM Watson Discovery Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Frequently Asked Questions
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Reviews and Ratings
(57)Attribute Ratings
Reviews
(1-23 of 23)IBM Watson Discovery CRM use case
- Trainings procedure
- Response time
- Support
- Error detection
- documentatiom
- 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.
- Better predefined queries to quickly analyse data after setting it up.
- Need better OCR as it struggles with any data have images.
- Increase your efficiency and overall productivity.
- Sort, trim and analyse your data.
- Can provide reports in graphs if needed.
- High resource consumption which may increase overall cost.
A good finding for a big data start up
- Saves a lot of time analyzing documents
- Generates interesting insights from them (non evident)
- Performs with an acceptable performance over complex information
- 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.
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).
Like Sherlock, you'll be needing your Watson too! Not a person, just the AI! *wink wink*
- Fast results.
- Provides overview and references that we could use as basis on other documents.
- Easy to use!
- 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.
Better software than free and open sourced alternatives.
- Automated code generation
- data extrapolation
- data filtering
- User Interface
- technical documentation
An integrated automation tool, capable of tracking, storing and analyzing the data.
- 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.
- 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.
Impactful Sentiment Analysis With Power of NLP.
- 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.
- IBM Can Enhanced There OCR Adaptability.
- Simplifying the process of custom entity extraction could enhance user experience.
Great tool for Using Advanced NLP
- Process large documents and can track with tags
- The tool automates complex document comprehension, swiftly extracting crucial information to streamline workflows.
- First of all they have to make it cost effective
- Secondly, this tool consumption of RAM is quite high I want you to make more user friendly
Insights on using ibm watson discovery
- Analyzes Data
- Prepares machine learning models on top of foundation models
- Allows usage of prompting on large language models
- A cheat sheet or section help me making use of models more easier
- Valuable series or learning sections which can diversify the usage of each option
- Standards and sample case studies which can help in building LLMS
Good document analysis and classification product.
- Client monitoring.
- Data analysis and management.
- Automation system.
- Its integration is a bit complex to understand in the first instance.
- I would like to see file customization options.
Depths of Data with IBM Watson Discovery
- Content Anaylsis
- Personalization
- Knowledge Management
- Quality of Data
- Limited Training
- Contextual Understanding
Discovery is an amazing technology used for greater insights and better SME performance.
- Searching through big collections of documents has never been easier thanks to Discovery's ability to identify, classify, profile, tag, and even split documents to allow for optimized search results.
- IBM Watson Discovery is by far the go-to tool for mining data collections and getting deeper insights, thanks to the recent release of the Data Miner feature and its amazing graphic interface.
- Another thing Discovery does well is the use of Natural Language Processing (NLP), and Smart Document Understanding (SDU) features to train and learn the structures of documents which makes it super easy to find and highlight answers to complex questions.
- Discovery does not have an end-user interface which makes it a little cumbersome for the non-technical audience. One needs to figure out how to leverage open-source technology to create a simple UI to interface with Discovery, but I believe IBM Dev teams ought to create an intuitive UI similar to that of Watson Assistant and make it easier for both technical and non-technical audiences to use Discovery with ease.
- Another issue we faced with Discovery was when we tried to ingest very technical documents with less text and more engineering diagrams and ended up with a bit of a mess because Discovery did not manage to parse them correctly, but that is being fixed by IBM Dev team as far as I know. IBM is enhancing its OCR to allow for better recognition and understanding of advanced engineering graphs and diagrams.
- After having tested the newly released Data Miner on IBM Watson Discovery, my impression is that it is targeting a niche audience of SMEs and technical people who understand what to mine for and comprehend the overly complicated graphs generated. I believe IBM should work on simplifying the UI as well as the way graphs are being displayed to allow business users to leverage this awesome feature.
Discover information you didn't even know you were looking for.
- Ease of including documents for research.
- Support for multiple file formats.
- Multi Language Support for documents.
- Easy implementation.
- Web scrapers is so hard to use.
- High Cost.
- Poor UI/UX, it's not easy to novice users.
A Pleasant Discovery of IBM Watson.
- Web crawl.
- Create content libraries.
- Optimises search via machine learning.
- The Plus Plan only allowed 3 concurrent Discovery instances which was too limiting.
- It took a long time to configure web crawl content.
Super AI tools for data housekeeping.
- Helps in filtering data without any manual effort.
- It's AI is very powerful and accurate in all process.
- Very easy in implementation-- Doesn't need much training for the integration purpose.
- Yes, it is right that it saves a lot of capital by automating things but pricing is on the higher side for the IBM Watson Discovery.
- Great use of NLP.
- Great use of ML.
- Can train itself through files like, word, powerpoint etc.
- Gives proper suggestion as per the training.
- The confidence threshold can be improved.
- Sentiment extraction from the document can be improved.
Watson Discovery makes discovery come true
- document structure model
- customized language model
- Proven Solutions
- knowledge graph
- Algorithm disclosure
AI powered tool to read data in bulk
- Data Extraction
- Data Visualization
- Bot Automation
- More control on web scrapper
Accurate results but expensive.
- Retrieving relevant documents
- Ranking documents based on relevancy
- Fast document ingestion
- [I feel the] pricing model needs to be changed to consider small documents.
- Allow multiple document submit through the API.
So Smart
- Integration
- Analytics
- Automations
- Intelligence
- Interface
- Usability
- Price point
Improved response time for clients and prospects
- Data cleanup to reduce duplicate accounts/contacts
- Pinpointing relevant contracts and documents ahead of renewal conversations
- Prioritizing leads for timely followup
- Expediting case resolution
- Steep learning curve
Customer Service Made Easy
- IBM Watson Discovery for Salesforce has improved our customer service response times when it comes to resolving cases for clients.
- With improved response times, easier resolutions, and less frequent repeat cases, our customer's satisfaction has surely improved since using IBM Watson Discovery for Salesforce.
- This feature has been a great way to quickly bring new employees up to speed by using it as a tool when training.
- The system cuts down on the time spent resolving cases but automatically learning from past cases and surfacing the most relevant content.
- Having more collaborative features for employees across the organization to give and get insight would be helpful.
- The customization features are great for our organization with the available data integrations.