Artificial Intelligence Needs A Professional Framework - Disruption Hub

Data science is all about difficult choices. At the core of any professional framework lies guidance to making the right decision at each point, from proofs-of-concept to deployed enterprise solutions. A good framework will take a fail early approach, with multiple stage-checks which spot problems before they become serious and ensure appropriate levels of rigour when using data. The framework must have in-built agility to allow rapid experimentation, and be capable of effectively integrating into the complex landscapes of enterprise IT organisations.