This assessment is a comprehensive analysis for organizations aiming to transition their AI applications to a more secure, cost-effective, and technically advanced AWS platform from sources like OpenAI, Azure, or GCP.

NorthBay Solutions introduces an advanced assessment tailored for organizations seeking to migrate their generative AI applications from OpenAI, Azure, or Google Cloud Platform (GCP) to Amazon Bedrock or Amazon SageMaker. This assessment is designed to provide a thorough analysis of migration feasibility, security enhancements, cost benefits, and technical strategy for leveraging AWS's AI services.

• Comprehensive Migration Assessment.
• Evaluate the technical and strategic aspects of migrating AI applications from OpenAI, Azure, or GCP to AWS.
• Assess compatibility with Foundation Models supported by Amazon Bedrock or Amazon SageMaker and explore integration possibilities.

• Provide a detailed cost comparison between OpenAI, Azure, or GCP and AWS services, focusing on long-term operational savings.
• Analyze potential cost efficiencies through AWS's pricing models and scalability options.

Highlight the security advantages of migrating to AWS, focusing on data privacy and compliance standards.

1. Deep dive into model fine-tuning and domain adaptation capabilities within Amazon Bedrock and Amazon SageMaker.
2. Compare model prompt performance across many FMs to help determine the best fit for your application.
3. Contrast various approaches to Retrieval Augmented Generation (RAG) within your application.
4. Evaluate and plan for the deployment of optimized AI models in the AWS environment.

• Comprehensive Migration Strategy and Cost Analysis: This assessment provides a detailed evaluation of the technical and strategic aspects of migrating AI applications from OpenAI, Azure, or GCP to AWS. It includes a thorough cost comparison, highlighting long-term operational savings and efficiency gains. By analyzing AWS's pricing models and scalability options, organizations can understand the financial impact and benefits of transitioning to AWS for their AI needs.
• Enhanced Security and Technical Optimization: The assessment emphasizes the security advantages of AWS, focusing on data privacy and compliance standards, crucial for organizations handling sensitive data. It delves into the technicalities of model fine-tuning, domain adaptation, and RAG within Amazon Bedrock and Amazon SageMaker, offering a strategic roadmap for deploying optimized AI models. This ensures a secure, efficient, and technically advanced AI environment.
• Business Value and ROI Focus: Beyond technical aspects, the assessment discusses the broader business implications of migration. It explores how AWS's AI solutions can drive performance improvements, scalability, and foster innovation. The workshop aims to provide a clear understanding of the return on investment and the potential business impact, helping organizations make informed decisions about their AI strategy and future growth.
  

Discuss the broader business implications of migration, including performance improvements, scalability, and innovation potential.

Collaborative Assessment Process: Co-design generative AI solutions with AWS certified professionals who guide you in leveraging the AWS environment.

This service is priced based on the scope of your request. Please contact seller for pricing details.

To speak with NorthBay regarding the details of this workshop, please contact us via email at sales@northbaysolutions.com or visit our website for more information.