A company using a legacy telephony platform wants to move to AWS and implement: multilingual call transcription, call categorization, detection of main customer issues, and sentiment analysis for each transcript line (positive/negative and scoring). Which AWS solution provides all these features with the least custom model training?

Contact Lens for Amazon Connect is the most suitable solution because it is specifically designed for contact center analytics and natively integrates all the required features: multilingual call transcription, call categorization, detection of main customer issues, and sentiment analysis (including scoring) without requiring custom model training. While Amazon Transcribe handles transcription and Amazon Comprehend performs sentiment analysis, they would require significant custom development and integration to achieve call categorization and issue detection in a contact center context. The other options involve combining services that would necessitate more custom work than Contact Lens, which offers an out-of-the-box solution for these specific contact center needs.