Developing and structuring data flows in appropriate environments ensures their optimal use.
Get better quality data in these steps:
- Construction of software/data architectures and pipelines, with solutions for processing using containerized computer/data science tools;
- APIs (Application Programming Interfaces) building, to allow access to the same content, on different platforms, especially in the case of distributed applications. Inner APIs make it especially easy to maintain the code at the frontend, since the API simply provides endpoints to perform server-level processing.
Business optimization is the process of improving the efficiency, productivity
and performance of an organization.
Smarter analysis through improved data modeling and collective/distributed intelligence
methods in artificial intelligence is helping businesses identify best-fit digital tools and
innovative approaches that drive optimization. Get your solution in these steps:
- Problem modeling in mono or multi objective;
- Reinforcement learning by combinatorial optimization with either:
- Heuristics : Search Algorithms;
- Meta Heuristics : Evolutionary Algorithms;
