MLOps Consulting Process
1. Business Context
Any problem demands context from the business. A solution for one industry may not be applicable to another, nor is every business the same. Establishing shared context helps get the project off to the right start.
2. Stakeholder Inclusion
More than just identification, we find projects are optimal when key stakeholders are including in the project. With “skin in the game”, stakeholders are far more likely to collaborate to produce a better overall solution.
3. Problem Definition
A key phase where business problems are defined and prioritized. It is worth spending time to get this right, as subsequent effort could be ineffective and wasted.
4. Domain Knowledge Transfer
Businesses are often experts in their own domain. This domain expertise is valuable to help direct future solutions.
5. Process Gap Analysis
In this phase our expert consultants speak to all the stakeholders and users to find the largest efficiency losses and pain points in the ML productionization process.
6. Regulatory/Audit Analysis
Not always applicable, but some industries use MLOps as a way of solving regulatory requirements. In this phase we collaborate with you to establish what those needs are.
7. Research and Validation
Finally we get to the phase where we begin to design a solution, based upon the requirements for the MLOps system gathered earlier in the process. In some cases we also provide POCs to validate these solutions.
8. Strategic Solution
In the final phase we present the solution back to you and your stakeholders and then move on to the next phase in the project.