Pariveda can help you leverage AWS’ new and most advanced Generative AI service, Amazon Bedrock, to create innovative solutions for your business. Pariveda is offering a fixed fee engagement to develop your use case into a Generative AI proof of concept, leveraging Amazon Bedrock, in as little as 4 weeks. We will investigate a variety of solutions, including intelligent agents, categorization, and interaction models. We will work with you to ideate the right vision, help identify and ingest your key data sets, and build the working proof of concept, so you can experiment with this exciting new technology.

Outline of approach (may vary based on use case, data, and application domain)

Week 1 – Strategy Alignment

• Conduct a discovery workshop with key stakeholders to explore strategic opportunities and determine the right generative AI use case to align with your business objectives.
• Identify the right data sources, create the data embedding strategy, and stand up the key infrastructure components in AWS.

Week 2 – Data Readiness

• Assess data preparedness
• Prepare data for processing and embedding
• Load into a Vector database

Week 3 – Iterate and Optimize

• Refine prompt engineering approach
• Optimize automation
• Continued refinement of the use case

Week 4 – Demo and Roadmap Continue to iterate on prompts and data ingestion Conduct the final POC demo and project sign-off Recommend next steps and overall roadmap to production

Potential AWS products and services used

• Amazon Bedrock
• Amazon Q
• Amazon Sagemaker
• Amazon S3
• AWS Glue
• AWS Step Functions
• AWS Lambda
• Amazon DynamoDB
• Amazon Athena
• AWS CodeCommit
• AWS CodePipeline
• AWS CodeBuild

Target Customers for this Offering Target customers for this offering are forward-looking companies that are looking to test Generative applicability to specific critical use cases and help further understand AWS’s capabilities to help them realize their vision.