Learn how easy it is to save and share your previously created / generated ML models as Notebooks for further collaboration with other users and data scientists.
Learn about the AutoAI capability within Cloud Pak for Data – a low-code / no-code approach that enables non data scientists to experiment with and build machine learning models in just a few clicks.
Use a Notebook to simply and easily create and share machine learning models as part of a Cloud Pak for Data project, and automate its run schedule – all in just 5 mins
Learn how to apply privacy rules to protect personal information by redacting or obfuscating sensitive data in under 5 mins
Learn how to apply privacy policies to ensure controlled access to Cloud Pak for Data assets in the catalog in just 3.5 mins
Continuing with the data fabric, we learn how to create a “shop for data” experience and search multiple data assets with just one click. All under 7 minutes.
Learn how to simply and easily create and load any data into a catalog to share and collaborate on, using the intelligence of the data fabric capability within Cloud Pak for Data – in 6 mins.
Using the dashboard capabilities of Cloud Pak for Data to simply and easily create dynamic visualizations of your data – in under 5 mins
How to automate regular, scheduled access to http data by leveraging the DataStage capabilities within Cloud Pak for Data – in just 5 mins
Learn how Cloud Pak for Data makes it easy to access files from an http connection in minutes.
Learn how to easily access data stored in Db2 on z/OS from within Cloud Pak for Data in just under 3 minutes
Learn how Cloud Pak for Data makes it easy to access files store on Amazon S3 in under 3 minutes.
Learn how Cloud Pak for Data makes it easy to Demonstrating the ease and speed at which you can connect to and access files on Azure from within Cloud Pak for Data in under 3 minutes..