A strong data science architecture ensures extensibility and scalability of your data science program
The Problem:
Many organisations create a significant technical debt that makes it challenging to extend or scale for new use-cases
The jahan.ai Approach:
We work collaboratively with your team to ensure that the right architecture practices are working for your business
- Establish a process for key-design decisions
- Establish design patterns and a process to extend
- Set up an Architecture Review session for each data science initiative
- Review or build your overall data science architecture
- Leverage our experience to architect specific use-cases
- Ensure that the latest in Responsible AI principles are embedded in your architectures
The Outcome:
We provide a playbook and operating process that ensures your team is setup for success