Architecture overview
1. How does Synapsis ML work?
Mative, through Synapsis ML, offers a complete structure to create and apply artificial intelligence solutions on data collected from IoT telemetry, allowing customers to focus only on the analysis results without worrying about the infrastructure.
2. Choosing the most appropriate solution
We use the best MLOps practices to manage the training and inference of Machine Learning models and LLMOps, supporting the integration of LLM with solutions based on GraphRAG.
3. Training
The second step is AI training: the accuracy of analysis or predictive results depends on the quality of the data used to train the models and the optimization of hyperparameters. Our Synapsis ML team will take care of everything.
4. Evaluation and experimentation
The third step is evaluating the robustness of the implemented solution: during this phase, we conduct test experiments to improve performance and reduce false positives.
5. Release
The fourth step is the release of the solution into production: Mative offers various solutions for deploying the implemented solutions.
6. Usage
Synapsis ML offers a web-based architecture for managing the use of AI models, allowing immediate results and integrating them into the environment chosen by the customer, in Synapsis Analysis or Mative Cloud.
Content and further insights available soon.