AI/ML Assessment and Launch
Big Query Tuning and Cost Management
AI/ML Assessment and Launch
An 8-12 week project to define your AI Principles and remediate Accuracy, Privacy and Security, Regulatory Compliance, and Intellectual Property Infringement risks then collaboratively build an MVP solution with plans to go to production in 90 days.
Results:
- An Operationalized AI/ML solution, not just a POC
- Risk and reward evaluated AI Guiding Principles for the organization
- Roadmap for continued and iterative AI/ML solution delivery
Technology Delivery Revamp
Big Query Tuning and Cost Management
AI/ML Assessment and Launch
A 4-12 week project with the decision makers and practitioners to assess your technology delivery capability from product/feature ideation to, building and operationalizing solutions. Revamp your technology delivery organization by blending agility, DevSecOps, and other best practices to fit your technology stack.
Results:
- A working End-to-end technology delivery process built by/with the teams delivering IT solutions
- Roadmap, Dashboards, Metrics for iterative and continued improvement
Big Query Tuning and Cost Management
Big Query Tuning and Cost Management
Big Query Tuning and Cost Management
A 4-12 week project to identify BigQuery Cost drivers, and fine-tune BigQuery configurations and SQL queries by balancing performance and cost based on your business needs.
Results:
- Cost Savings from tuned Queries and Tables
- Hands-on training for high-cost users
- Dashboards, Alerts & Scheduled Reports on Spend
- Recommendation and Options for additional tuning & optimization