IBM Watson Discovery Pros and Cons

IBM Watson Studio helps extract value from data by combining the multiple processes of data analysis. These phases include acquiring and cleaning data, communicating findings, and applying IA models. IBM Watson Studio was developed by IBM. The fact that the application made it simple to provide examples and information to the other members of the group was another feature that proved to be of great use. Review collected by and hosted on G2.com.

There should be greater focus on the IBM DSx Community. If more was known about how data science improves a company's competency inventory, there could be less barriers to entry. It seems that most of the ML capabilities provided by the H2O package in R are not compatible with Apache Spark. There needs to be documentation for using Apache Spark for ML in R. Review collected by and hosted on G2.com.

There was a great deal of investigation involved in the implementation process. Several different cross-functional teams doubled-down on their checks to make sure the tool was being used and accepted well. The IBM DB2 engine is a relational database management system that can handle any of your data demands. Review collected by and hosted on G2.com.

Checking use rates is crucial since unpaid users may struggle to keep up with the allocated computer time. The runtime should be paused when there are no running processes to prevent unnecessary use of system resources. The basic plan should provide some more options for those who can't pay for all of them. Review collected by and hosted on G2.com.

It's quite easy to use and offers insights with the help of NLP, All you have to do is provide data which can also be instructed, it will analysis the data and provide valuable insights and saves a lot of time for analysis. Overall it's perfect solution to do data analysis. Review collected by and hosted on G2.com.

Overall experience is quite good but they should also include AI based models to offer data which is not even provided. Review collected by and hosted on G2.com.

- Ability to read from different data sources such as html pages, docs or pdfs

- A no-code web interface as playground

- Easy to follow SDK for integrating with programming languages to use Watson apis in code Review collected by and hosted on G2.com.

- Comparatively costly. At an age where open source models can be used to achieve more than decent performance in the tasks for which IBM watson discovery is used, it is not clear why someone will like to shell out some money for this.

- Apart from basic aspects about text data such as sentiments and entities, other use cases might not be clear for a no-code user. Review collected by and hosted on G2.com.

Easy to use and connect with documents, Powerful natural language processing (NLP) capabilities. Watson Discovery uses NLP to extract insights from unstructured data, such as text documents, emails, and social media posts. This can be used to identify trends, patterns, and relationships in data that would be difficult or impossible to find using traditional methods. Review collected by and hosted on G2.com.

I don't dislike IBM Watson Discovery, but I have noticed some potential drawbacks you may want to consider before using it.

It can be expensive. IBM Watson Discovery is a cloud-based service, so you must pay a monthly subscription fee. The price will vary depending on the data you need to store and the number of users you need to support. Review collected by and hosted on G2.com.

IBM Watson Discovery has the most advanced technology to search and get the analytical insights from large databases within a splash of the time. The capability of processing the natural language to extract the analytics from unstructured documents and data is the best feature of the tool. Review collected by and hosted on G2.com.

It starts giving errors, when we through multiple queries at a time, and it is the only issue I have noticed while using IBM Watson Discovery. Review collected by and hosted on G2.com.

IBM Watson Discovery is an AI-powered search and content analysis platform. Its notable features include advanced Natural Language Processing (NLP) for accurate understanding of unstructured data, robust document and data ingestion capabilities, powerful search and query functionalities, cognitive insights that identify patterns and relationships in data, integration with other Watson AI services, and developer-friendly APIs and SDKs. Users appreciate these features for their ability to enhance data analysis, enable data-driven decision-making, and efficiently extract insights from large volumes of structured and unstructured data. Review collected by and hosted on G2.com.

IBM Watson Discovery, like any software, has certain limitations and potential areas for improvement. These include the complexity of setup, requiring technical expertise; a learning curve to fully utilize its capabilities; challenges in customization and training of AI models; variable pricing that may be a consideration for some users; and potential integration challenges. However, these considerations may vary based on individual experiences and requirements. Despite these potential limitations, IBM Watson Discovery is still regarded as a valuable tool for search, content analysis, and extracting insights from data. Review collected by and hosted on G2.com.

The content analysis part finding interesting data and relations. Review collected by and hosted on G2.com.

Very steep learning curve. Ease of use is okay, but could be easier. Review collected by and hosted on G2.com.

The flexibility it provides to feed anykind of unstructured data also provides it with fast speed with lot of custom options Review collected by and hosted on G2.com.

I believe it's a very great tool, but somewhere we can use a bit of extra help like we should be able to change the degree of randomness. Review collected by and hosted on G2.com.

This makes it easy to use all the documents and analyze them easily without any hard work. Review collected by and hosted on G2.com.

The monthly subscription is a bit heavy for small organizations like ours. Review collected by and hosted on G2.com.