Update README.md

README.md

@@ -13,12 +13,13 @@ TDSP is an agile, iterative, data science process for executing and delivering a
 
 For execution of data science projects, TDSP provides guidelines on how to [**structure collaborative teams and tasks**](Docs/roles-tasks.md) for data science projects, and [**execute data science projects using Agile planning and version control**](Docs/project-execution.md).
 
-To perform certain stages of a data science project efficiently, TDSP also provides [**data exploration and (semi)automated modeling tools in R and Python**](https://github.com/Azure/Azure-TDSP-Utilities).
+To perform certain stages of a data science project efficiently and semi-automated manner, TDSP also provides [**data exploration and (semi)automated modeling tools in R and Python**](https://github.com/Azure/Azure-TDSP-Utilities). These also provide standardized reports or artifacts.
+
 
 ## TDSP resources on Azure
 We provide documentation and [**end-to-end data science walkthroughs and templates**](https://azure.microsoft.com/en-us/documentation/learning-paths/data-science-process) for TDSP lifecycle stages using different platforms and tools on [**Azure**](https://azure.microsoft.com/en-us/), such as Azure ML, HDInsight, Microsoft R server, SQL-server, Azure Data Lake etc.
 
-[**TDSP with Azure ML**](https://azure.microsoft.com/en-us/documentation/learning-paths/data-science-process)
+Here are instructions on how to execute [**data science life cycle steps in Azure ML**](https://azure.microsoft.com/en-us/documentation/learning-paths/data-science-process). 
 
 ## Contributing to TDSP