IBM Watson Data & AI - Structured Ideas

Welcome to the idea forum for IBM Watson Data & AI — our team welcomes any feedback, requests, and suggestions you have for improving our products!

This forum allows us to connect your product improvement ideas with IBM product and engineering teams.

2 VOTE

Document the options for moving between dev, test and production for model building and model deployment

No description provided.

Created 15 days ago by Chris Snow

Watson Studio

0 Needs review
4 VOTE

Add data set to project direct from bookmark

As a customer, I search the community and find a data set of interest. I bookmark this and add it to my project. In order to add this as a data asset, have to first download a local copy of it - which can be time consuming and is pointless since ...

Created about 1 month ago by Philip Thomas

Watson Studio

1 Under Consideration
41 VOTE

Update notebooks to jupyter labs for full IDE integration

Current jupyter notebooks are useful for small tasks, but for full data science projects a larger ecosphere of tools and code storage are necessary. Jupyter labs is really young, but even so would fill in many of the current issues of our environm...

Created 11 months ago by Jim Crozier

Watson Studio

5 In Plan
9 VOTE

Provide a seamless workflow from prototyping deep learning networks in notebooks to experiments builder

This idea depends on: https://ibmwatsondataplatform.ideas.aha.io/ideas/IBMWDP-I-12 I would like to be able to prototype neural networks in notebooks. Realistically this will require GPUs for performance reasons hence the dependency on IBMWDP-I-12...

Created 3 months ago by Chris Snow

Watson Studio / Watson Machine Learning

7 Accepted
5 VOTE

Have DO for DSX not only in DSXL but also in Watson Studio

DO for DSX help DSXL customers deploy optimization. With Watson Studio we have less flexibility to do that. We should have that available to ease adoption of Decision Optimization by Watson Studio customers

Created about 2 months ago by Alex Fleischer

Watson Studio

0 Needs review
31 VOTE

Add Zeppelin notebooks

zeppelin notebooks have a number of nice features like built in graph capability, and it also lets you mix multiple interpreters into a single notebook. Yes you can do a lot of this with jupyter, but there will be those that have a large number ...

Created 11 months ago by Dustin VanStee

Watson Studio

3 Under Consideration
14 VOTE

Ease call, edit, debug, and monitor OPL / CPLEX models within DSX

OPL is a much simpler way than Python for optimization modeling and today we provide only https://twitter.com/AlexFleischer1/status/909759411484274689 If we had a simpler way OPL / CPLEX customers could move their models to DSX and DSX data s...

Created 7 months ago by Alex Fleischer

Watson Studio

5 Needs review
22 VOTE

Integrate with BigInsights

No description provided.

Created 11 months ago by Sreedhar Yerragunta

Watson Studio

1 Will not implement
14 VOTE

Visual modeler interface for CPLEX in DSX

In our current DSX offering we enable programmatic access with Python API for CPLEX engine to solve optimization problems. Leveraging this capability requires a user to have deep technical and programming skills. Iterating across scenarios with mo...

Created 8 months ago by Guest

Watson Studio

4 Accepted
8 VOTE

Add support for Keras in R

The Keras package is available in R but requires some python dependencies to run. User-level permissions don't let us install those dependencies in our environment so would you please look into this issue and ensure that DSX can support Keras for...

Created 5 months ago by Rafi Kurlansik

Watson Studio

0 Needs review

IBM Watson Data & AI - Structured Ideas

Welcome to the idea forum for IBM Watson Data & AI — our team welcomes any feedback, requests, and suggestions you have for improving our products!

This forum allows us to connect your product improvement ideas with IBM product and engineering teams.

Filter by Status

Filter by Category

Document the options for moving between dev, test and production for model building and model deployment

Add data set to project direct from bookmark

Update notebooks to jupyter labs for full IDE integration

Provide a seamless workflow from prototyping deep learning networks in notebooks to experiments builder

Have DO for DSX not only in DSXL but also in Watson Studio

Add Zeppelin notebooks

Ease call, edit, debug, and monitor OPL / CPLEX models within DSX

Integrate with BigInsights

Visual modeler interface for CPLEX in DSX

Add support for Keras in R

Filter by Status

Filter by Category

Identify yourself with your email address

Document the options for moving between dev, test and production for model building and model deployment

Add data set to project direct from bookmark

Update notebooks to jupyter labs for full IDE integration

Provide a seamless workflow from prototyping deep learning networks in notebooks to experiments builder

Have DO for DSX not only in DSXL but also in Watson Studio

Add Zeppelin notebooks

Ease call, edit, debug, and monitor OPL / CPLEX models within DSX

Integrate with BigInsights

Visual modeler interface for CPLEX in DSX

Add support for Keras in R