Seamless Migration from OpenAI to AWS Bedrock with Add Value Machine

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Our Approach

AVM's migration approach supports specialized AI workloads through comprehensive tooling, services, guidance, training, and additional incentives. Our approach consists of:
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Methodology

AVM uses an agile-based migration methodology that leverages proven frameworks to evaluate a customer's AI capabilities and environment, reducing the cost and risk of migrations from OpenAI to AWS Bedrock.
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Tools

AVM offers proprietary tools that reduce cost and automate various aspects of AI migrations, including our AI security platform and governance protocols.
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Training

We provide a range of training programs to make your IT professionals knowledgeable on AWS Bedrock services, architecting AI solutions on AWS, and running secure AI operations.
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Professional Services

AVM's Professional Services team has successfully completed numerous AI migrations and captured those learnings in a set of best practices available to our customers.
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Partners

As an AWS Advanced Tier Service Partner, AVM has access to additional resources and support from AWS to ensure smooth migrations.
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Investments

AVM offers investment options, in the form of service credits or cost-sharing models, to help customers offset one-time migration expenses, such as labor, training, and running parallel environments.

How it Works

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STEP 1

Migration Evaluator

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AVM's AI migration readiness assessment reviews OpenAI workloads and helps you identify gaps in your current implementation across six dimensions: business, process, people, platform, operations, and security. This assessment enables you to identify the capabilities required for migration and build a Total Cost of Ownership (TCO) model for your migration project.
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STEP 2

Migrate OpenAI to Bedrock

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AVM's migration services team, in collaboration with AWS, helps you execute the large-scale migration plan developed during the mobilize phase. Our model-agnostic platform ensures a smooth transition of your AI models and data to AWS Bedrock.