Clarify grounding data description in summary

Updated wording for clarity in grounding data section.

Author: JamesJBarnett

learn-pr/wwl/analyze-requirements-ai-powered-business-solutions/includes/6-summary.md

@@ -24,7 +24,7 @@ _Task Automation, Analytics, and Decision-Making:_
 
 _Grounding Data for Reliable AI:_
 
-- Grounding ensures AI agents use trusted, domain-specific data, increasing accuracy and reducing inaccurate (confidently incorrect answers).
+- Grounding ensures AI agents use trusted, domain-specific data, increasing accuracy and reducing inaccurate information (confidently incorrect answers).
 
 Five dimensions of grounding data quality:
 
@@ -42,4 +42,4 @@ _Organizing Business Solution Data:_
 
 - Key architectural components include Azure platforms, Microsoft databases, semantic indexing, and governance tools (e.g., Microsoft Purview).
 
-- Retrieval-Augmented Generation (RAG) pipelines empower AI systems with real-time, trustworthy data while preserving privacy and mitigating
+- Retrieval-Augmented Generation (RAG) pipelines empower AI systems with real-time, trustworthy data while preserving privacy and mitigating