Solve common business problems with AI and ML
summary
AWS shows applying specific services to concrete problems: Amazon Kendra for natural-language enterprise search, Amazon Textract and Comprehend plus A2I for intelligent document processing, Amazon Personalize and SageMaker for recommendations, and Amazon Connect/Contact Lens for contact centers. Claims include IDC’s >$50B AI spend and Gartner’s 75% of enterprises operationalizing AI by 2024, SageMaker JumpStart offering 150+ deployable models, and Kabbage automating 80% automated of PPP applicants with median approvals in four hours.
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chapters (12)
- 0:00Intro
- 0:43What is it?
- 2:25The reach of ML is growing
- 4:02Balance speed with value
- 5:00Where to apply ML
- 6:25Quickly and easily find accurate information
- 9:38Creating personalized digital experiences
- 14:51Add intelligence to your contact center
- 21:22Extract and analyze data from documents
- 27:13SageMaker JumpStart
- 27:42Amazon ML Solutions Lab
- 28:06Learn ML with AWS Training and Certification
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