Overview
The AI Proof of Concept not only demonstrates technical feasibility but also provides insights into practical implementation challenges, setting a foundation for full-scale projects
For who: Businesses that are looking to test the practicality and impact of AI in specific areas before committing to full-scale development
Prerequisites:
- Defined business challenge or area for AI application
- Necessary data access and permission
Deliverables (Final Report):
- Dataset analysis
- Documented experiments - with different available AI techniques
- Insights - from every step relevant for running the project at full-scale
- Estimation - of skills, time, and resources (e.g. computing power) required for a full-scale project
Deliverables (Codebase):
- Data preprocessing scripts
- Prediction and inference scripts (with results)
Timeline: 1-2 months
Goal: To demonstrate the viability and potential impact of integrating specific AI technologies within the client's business processes through a quick and effective proof of concept
Featuring AWS Services:
- Amazon SageMaker
- Amazon Bedrock
- AWS Lambda
- Amazon S3
- Amazon Comprehend
- Amazon Rekognition
- Amazon QuickSight
Highlights
- Validate AI potential with our tailored Proof of Concept, designed to align AI solutions with your specific business needs and demonstrate operational feasibility
- Gain practical insights through our AI PoC, utilizing advanced paradigms like Retrieval-Augmented Generation and Agentic Workflow to automate decision-making processes
- Prepare for full-scale AI projects with our comprehensive analysis, offering skills, resources, and timeline estimations based on documented PoC experiments and insights
Details
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