Item: IBM Watson Discovery
Rating: 10
Author: Sure Sai Venkata Krishna Sahit

Use Cases and Deployment Scope

IBM Watson Discovery is wonderful place to make out new innovations which involve standard and consistent performance.

Pros and Cons

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

Return on Investment

Faster Navigation
Clear output
Missing suggestions

No-Code Tools

I recommend it for low code and no code users where they can process the data llm with small and accurate effort using prompt lab where it is very interactive and easy to operate.

Natural Language Processing

Team outcome and approach to solve a problem has changed a lot more productive and time bounded.

A edge of having a safe secure work environment where in organizations can make use of power of AI with no concern safe guard their data where IBM watson discovery provides hybrid cloud solution to mitigate the vulnerablity of data security.

Key Insights

Do you think IBM Watson Discovery delivers good value for the price?

Yes

Are you happy with IBM Watson Discovery's feature set?

Yes

Did IBM Watson Discovery live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of IBM Watson Discovery go as expected?

Yes

Would you buy IBM Watson Discovery again?

Other Software Used

ChatGPT, Active Query Builder, Adobe Presenter

Likelihood to Recommend

It is well suited well defined and structured case datasets and works moderately with less data and logic which needs to be improved.

Insights on using ibm watson discovery

Overall Satisfaction with IBM Watson Discovery