The first step is to conduct a workshop to establish what your needs are and what data and data sources you have available.
We then work together to develop ideas and solutions and clarify the key elements of machine learning, big data and artificial intelligence. We will review your data and the data quality in order to determine data readiness.
Result of Phase 1:
- Transparency vis-à-vis your data and the data quality
- Roadmap and implementation plan for the collaboration
We will work with you to draw up an initial use case and test it using your existing data. This will result in a first prototype that will deliver the first measurable results for your department – providing real data and genuine benefit.
Result of Phase 2:
- Validation of your data, and proof of concept. Feedback will be gathered from users.
The prototyping process involves developing a minimum viable product (MVP). With the introduction of more users, more data, additional markets and additional functionalities, this MVP develops into the fully formed, finished product. A process of continuous and comprehensive testing during the development phase results in optimum performance of the end product.
Result of Phase 3: