Over-the-wall data science is a common organizational pattern for deploying data science team output to production systems. A data scientist develops an algorithm, a model,
Category: Machine Learning
AI Systems Development Cycle And How It’s Different From Other Software
Most software development projects go through the same four phases: discovery, research, prototype, and production. Usually, the research and prototype stages are fairly light because
How Can We Reduce the Risk of Machine Learning Projects?
The overall risk of machine learning projects in a business can be relatively high because they tend to be long and complex. Before embarking on
Four Machine Learning Skills of a Successful AI Team
In the past few years, several trends accelerated adoption of AI for business applications. The abundance of data, cheap computing, advances in AI algorithms, and