Your business objectives, processes, and technical capabilities form the core of our approach to identifying and collaborating on AI/ML opportunities. Explore end-to-end AI/ML tools such as but not limited to AWS Bedrock, AWS SageMaker, AWS Textract, DevOpsGuru, CodeWhisperer, AWS Glue, Dynamodb, and others.

What to expect:

Project Planning and Kickoff

• Identify business and technical stakeholders, define success criteria, and schedule workshops

Workshops: Collaborative sessions designed to capture requirements while educating participants on safe and beneficial uses of AI/ML.

• Composite AI/ML* Workshop
• Business/Use Case Workshop(s)—Line of Business and Functional
• Technical & Data Workshop(s)
• Governance Workshop(s)—Security, Privacy, Compliance, and Cost Management

Analysis & Document Development

• Consolidate and analyze findings
• Benchmark against industry trends and best practices—identify gaps
• Develop gap-mitigation strategies, cost-estimates
• Prioritize Use Cases

Turnover

• Review and finalize documentation
• Final presentation and identification of Next Steps

Deliverable (may vary based on Customer-specific objectives)

• Executive Summary
• Business Use Case Opportunities (Line of Business, Functional, Technical)
• Data Gap Analysis and Recommendations
• Technology Gap Analysis and Recommended Architecture, Tools, and Technologies
• Well-Architected Considerations
• Governance Gap Analysis and Recommendations
• Skills/Resources Gap Analysis and Recommendations
• High-level Business Case and Budgetary Estimate
• Definition of Proof-of-Concept/Minimum Viable Product for high-priority Use Cases

To learn more about Cascadeo and our AI/ML services, please visit https://www.cascadeo.com/services/composite-ai/

• Composite AI/ML is a holistic approach to artificial intelligence and machine learning. It focuses on integrating multiple AI models and techniques (including GenAI) to achieve more robust and versatile solutions with enhanced depth, adaptability, and efficiency.