IBM Data Platform Ideas Portal for Customers
This portal is to open public enhancement requests against products and services offered by the IBM Data Platform organization. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).
Shape the future of IBM!
We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Search existing ideas
Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,
Post your ideas
Post ideas and requests to enhance a product or service. Take a look at ideas others have posted and upvote them if they matter to you,
Post an idea
Upvote ideas that matter most to you
Get feedback from the IBM team to refine your idea
Specific links you will want to bookmark for future use
Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.
IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.
ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.
IBM Employees should enter Ideas at https://ideas.ibm.com
Although I have not tested flow option, by opting OpenAPI spec is its being possible. As we just get endpoints after ML model deployment, this idea will have the potential to reduce the manual effort to manually write OpenAPI spec and use this as a tool. Please suggest your view on this.
Today are you able to achieve this within our flows experience by adding an openapi spec as a tool, or defining a python script as a tool for the same?
We have a project(client0) where we are trying to implement a concept called Talk to Model, where models can be accessible from skills(gen1), ai agents in IBM WatsonX. Orchestrate.
- Created agents which collects data for model inference.
- Automatically routing happens whenever user needs specific trained conventional model(specific dataset) to get the inference.
- Used OpenAPI spec to generate integrate models as tools.
- In orchestrate gen1 we had such options where we used to add extrenal services and used to add models (watsonx.ai)decision models. to create a skill.
- Similar features will definitely help and if we can give a button(Use this model as a tool) in watsonx.ai after model deployment that would also be awesome.
To add to the request, is the problem you're trying to solve here optimizing a response by essentially routing to the ideal model based on the type of ask? When would we expect to invoke these differnet models, or is the idea that they are tools we can describe and specifically control when they are utilized?