IBM Watson Content Analytics is an enterprise search option. This supersedes IBM's older offerings, IBM Omnifind and IBM Content Analytics and Enterprise Search.
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IBM Watson Discovery
Score 8.7 out of 10
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IBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.
It is well suited for those who are beginners and want to get hands-on with data analysis. It is also easy to learn as the UI is simple and understandable. It can be improved on provided some discounts in the pricing.
Whether using it as a standalone search tool, integrating with other IBM Watson products, or using the API to integrate with proprietary or third-party systems and applications, Watson Discovery addresses these and many other scenarios where document search is required -- understand- if here documents can be pdf, doc, txt files, websites, among other formats --, don't confuse Watson Discovery with EDRMS (Electronic document and records management system) software, Discovery goes further, allowing text search to be done within a context using natural language (NLU) and returning not only the search term but also insights and related issues. File indexing works very well, and training Discovery so that documents and technical terms are learned a bit of work, but it can be reduced by using some of the learning models already trained and available for 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.
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.
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.
IBM Watson is not quite in the same category as Worldox or NetDocuments as both are full-fledged document management. However, both vendors provide a similar searching and indexing product. Worldox provides searching and indexing but the Indexer is somewhat prone to issues. IBM Watson does not have the stability/consistency issues. NetDocuments is cloud-hosted document management and its index does not seem to have issues. That being said, there is a large premium as the data is all stored in a cloud container with the management system.
To be entirely honest, in my review, I have used Elasticsearch in the past, but not in a way similar to that I am using Discovery, and I cannot honestly say that I can compare the two because I used Elasticsearch in infrastructure management and monitoring setup while using the ELK stack (Elasticsearch - Logstash and Kibana).
IBM Watson Discovery has had only positive impacts on our overall business objective of providing quality customer service and timely resolutions for our clients.
The use of this integration has made life easier for our customer service team, who can now resolve cases for customers quicker and easier.
Our company prides itself on the service and expertise we're able to provide for our customers and IBM Watson Discovery has only made that task easier for our employees to perform.
