Our FLUID assessment methodology provides a strategic and comprehensive approach designed to refine your data and machine learning workloads and ensure precise alignment with business objectives. Leveraging AWS services such as Amazon SageMaker, AWS Bedrock, and AWS Lambda, the methodology prioritizes strategic direction, investment alignment, adherence to best practices, and cost optimization to prevent inefficient resource allocation and “scattershot” tactics from the start.
FLUID emphasizes iterative improvement to maintain ongoing momentum in project execution and ensure there are no constraints that impede sustained progress.
Each assessment is conducted by two AWS certified solutions architects to ensure an objective and comprehensive assessment, reinforcing our commitment to delivering well-designed solutions that drive business success.
Delivery mechanism:
The FLUID assessment will result in a comprehensive deliverable package that includes:
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Generated PDF report: The report was created through our proprietary FLUID assessment tool, which combines a survey specifically tailored for companies with our expert analysis powered by AWS AI and machine learning services.
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executive summary: A concise overview of your company's current technology landscape, highlighting strengths, weaknesses, and key areas for improvement, and providing specific recommendations for optimizing AWS services.
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Presentation walk-through: Present assessment findings in detail to business and technology teams to deepen understanding and drive decision-making based on AWS service insights.
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Traffic light analysis: A visual overview using a traffic light system to show the status and risk level of different components in your technology landscape, along with recommendations for specific AWS services.
Implementation and follow-up:
To ensure effective implementation of the recommendations:
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Advice Plan: We focus on your utilization and optimization of AWS services, and provide quarterly follow-ups to review your progress and make any necessary adjustments.
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Project team deployment: Deploy a project team dedicated to developing the recommended changes within the proposed timeframe, leveraging AWS services for efficient execution.
Review of report contents and improvement measures
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Report body: With a focus on AWS services and best practices, we provide detailed evidence of risks identified across team dynamics, technical processes, tech stack, cloud infrastructure, and architecture.
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A well-designed solution architecture: It includes architecture diagrams and documentation outlining technology solutions to address the identified challenges and achieve the strategic objectives using AWS services, including Amazon SageMaker, Amazon Rekognition, Amazon Bedrock, and other AI-based services offered by AWS.
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Implementation Roadmap: We provide a detailed roadmap for implementing the recommended architectural and technical changes with a breakdown of the efforts, and integrate AWS services to streamline execution.
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Blueprint for Operational Excellence: It provides a blueprint for integrating effective DataOps, DevSecOps, and MLOps processes for machine learning and AI workloads using AWS services.
