Solution Architecture
Long before identifying the optimal machine learning algorithm, network topology and framework, the success of an AI project largely depends on one's ability to translate a business problem into a well-framed data science question. Once you have framed the question, have you the necessary data management, infrastructure and DevOps in place to successfully deploy the model into production?
Solution architecture comprehends the end-to-end ecosystem, identifies top industry trends, usage models, business constraints and opportunities. It translates business strategy and objectives into tangible functional and nonfunctional requirements and performance metrics. It comprises that which is required to move from the 'current-state' to the desired 'next-state' using well-ordered design principles.
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Solution Architecture
Product & Service Design
Software & Service Architecture
Containers & Microservices
System Architecture & Infrastructure Planning
High Availability Design
Infrastructure Sizing
Cloud Migration
Cost Optimization
Validation & Verification Planning
Photo by Kristina Kermanshahche / Perspicace
Data Management
Data Architecture & Planning
Data Management & Master Data Plan
Data Integration & Interoperability
Data Protection, Security & Privacy
Risk Assessment & Mitigation
Photo by Kristina Kermanshahche / Perspicace
Benchmarking & Optimization
HPC AI Analytics Pipelines
Workload Characterization
On-Prem & Cloud Deployments
HPC AI Technology Assessment
Analytics Transfer
Reproducibility
Stress & Load Testing