Your Data Science POC Company
Data science projects are risky.
A significant amount of the time, some suggest around 80%, data science projects fail. That’s not because there is a failure, in the structural sense of the word, but because the data or the domain prevents you from achieving your goals.
The problem isn’t failure, though. The problem is that it takes too long to find out that a data science project will fail. Our proof-of-concepts (POCs) de-risk a project by researching and investigating key risks, before wasting time on development, coding, hardening, etc.
Although all of our POCs differ, they generally deliver a rough prototype to prove that the riskiest parts of the project will be successful, or not. Data science POCs generally take the form of a report or a set of results that demonstrate that an idea is technically feasible, given the data and current technology capabilities.
Our data science POCs are then promoted into a machine learning development project, where we design, build, and deliver practical artificial intelligence solutions.