Machine Learning / Data Science / Artificial Intelligence
We start with understanding your business objectives and data sources, from there we design a strategy for building machine learning pipelines and algorithm choices that can fufill your business needs and scale as needed with expanding data volumes and sources.
A large part of machine learning is data aggregation, cleaning, and preparation. Data may come from an IoT system, internal in your company, or pulled from other sources. An efficient approach to data mining is central to building a strong ML value.
Machine Learning is ultimately realized as a pipeline from data injection and organization to building virtual machines with cloud infrastructure and then applying the correct algorithms and understanding what the results mean for your business.