IBM Watson Natural Language Understanding Reviews

I really love its functionality , it's more user friendly than the most of AI bots availability right now. I think compatibility way its make less errors and it's depth knowledge of coding is top knotch

Well, it's not properly user-friendly, but as it takes guy, it's quite accessible, but I wouldn't recommend this for personal use. The knowledge is dead, but the using purposes bit complex.

As far as

The ease of use is what I love the most about IBM Watson NLU. I have to say that I learned on Watson and used other platforms after, but I'm glad I did because it helped me in ensuring that we never used a subpar platform. The accuracy of NLU is the best in the business.

The one things that my team gave me feedback on was in sentiment analysis. I wouldn't say that this is a dislike, but rather instead an area that could have a more concentration on.

Simply put, Watson NLU helps you reduce time to market with natural language products and analysis. Engaging with the IBM team and the Elites data group helped our overall experience with the product.

We were testing using IBM Watson NLU in our voice of customer projects where we took feedback from multiple sources and pulled intents from the open-ended questions and built a classifier sytem to rank the likelihood that a customer would do something. I'm being vague in my use case but you can see how that could help with legal, human resources, and customer-facing interactions with products as well.

Its easy to use and undertand with little knowledge of Machine Learning. Its UI is very elabortaive and easy to understand plus it have lot of features and collaborates with other services very easily, All these factors make it a great tool to go with.

Nothing much, A gui9de for non-tech people would be great if available with the product.

understanding and detection of text from Emails, and other sources is a huge plus that IBM watson knowledge studio has provided, due to which running through data has become quite easy.

IBM Watson Knowledge Studio include its customizability, seamless integration with other Watson services, user-friendly interface, and its ability to handle large-scale datasets while delivering efficient and accurate results.

Complexity for non technical users and costing.

IBM Watson Knowledge Studio addresses the challenge of extracting valuable insights from unstructured data, such as text documents, social media posts, or customer feedback.

IBM Watson Knowledge Studio, which we were using in our company. It is straightforward to use for solving business problems. We can do multiple tasks here, like data cleaning and data visualization, analyze the data and, run the model, deploy the model; It gives results accurately.

Some people think it would not be easy to use since Watson Studio is in the cloud, but they are incorrect. Here we have many machine learning models to use, and it gives result very accurately. It is straightforward to use; we don't have to worry about memory, speed, deployment etc.

We have run machine learning models and deployed them for customer demo.

Customers can also use or check these models directly in their system without setting up the environment and running the model.

IBM Watson for me is top AI tech that enable to respond 95% accuracy of answers to most questions.

However there are some others AI such as Google Cloud that ptovides modern machine learning services better than IBM Watson

IBM Watson Assistant always helping me via its chatbot builders when I need to solve an issue.

1. Ease to define and use custom entities

2. In build functionality to define the internal workflow which make it really easy to develop, train, and test the solution.

It is not 100% code free, one should have a knowledge to work with json to parse and work with data.

Users in Risk Management needs to read a lot of policies documents (word, and PDF) to answers day to day queries asked by customers. We used IBM Watson to respond those questions based on keywords.

The ease with which annotations can be done and how we can prepare the critical information for extraction to build the next steps in the value chain. Facts are always hidden, and we can find them easily in our data.

I am unsure about how portable the model is if I consume it in other products that can evolve new applications from a model, such as getting trained with additional datasets and integrating with apps in the marketplace.

I am trying to educate IBM WKS about the problems and complexity of large text that could otherwise have been written in short. That is the single most use case for which I want annotate and train with good and bad examples.

Allows greater ease in the tasks being performed, it is very intuitive and practical, it is an easy and very powerful tool. Capture and analyze images with quite precision.

At times it keeps loading and becomes slow; when it is required to perform a deep analysis and is assigned multiple tasks, it may take longer to process than expected and needed.

Capture and analysis of data in high-resolution image banks and graphs with considerable precision. It is a tool that features a user-friendly interface and is easily adaptable to the required needs.

I like that I can get more information and categorize based off of the conversations I have had with my customers. We have the ability to view customer interactions in different ways than we did prior to using this tool.

It wasn't easy to integrate the tool with foreign languages which caused issues for some of our customers.

It's a great tool to get more insights on your customers and interactions.

Providing insights to businesses on their customer data.