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AI Proof of Concept

This PoC is intended to showcase the application's feasibility within your operations. We aim to provide a solution aligned with your business needs. The process includes understanding the challenges, designing a tailored AI solution, and delivering a working mock-up within a limited timeframe. This service begins with an initial consultation to identify and understand your pain points and business goals. We then focus on applying cutting-edge AI paradigms such as Retrieval-Augmented Generation (RAG), which enhances model responses with relevant data retrieval, and Agentic Workflow, automating the decision-making process

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About

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

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