--- title: "Included Components" weight: 30 chapter: false draft: false pre: "C. " --- ## These are the components which are included in this Lab. * [IBM Cloud Pak for Data](https://www.ibm.com/in-en/products/cloud-pak-for-data): Predict outcomes faster using a platform built with data fabric architecture. Collect, organize and analyze data, no matter where it resides. IBM Cloud Pak for Data includes Watson Studio offering which is used for all Data Science related activities like Data analysis, building models with and without code using Jupyter Notebooks & AutoAI, generate visualizations using Cognos embeddded dashboard, connect to different databases outside IBM using Data Virtualization and more. * [IBM Watson Studio](https://www.ibm.com/cloud/watson-studio): Analyze data using RStudio, Jupyter, and Python in a configured, collaborative environment that includes IBM value-adds, such as managed Spark. * [IBM Watson Open Scale](https://www.ibm.com/docs/en/cloud-paks/cp-data/4.0?topic=services-watson-openscale): Use IBM Watson OpenScale to analyze your AI with trust and transparency and understand how your AI models make decisions. Detect and mitigate bias and drift. * [Amazon SageMaker](https://aws.amazon.com/sagemaker/): Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. * [Amazon S3](https://aws.amazon.com/s3/): Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance.