If your organization is data-driven, business intelligence-savvy and/or into big data analytics, you know the amount of work that goes into setting up the infrastructure, acquiring the skills and building the culture necessary to sustain it. But did you know that investment puts you on the cusp of being an AI driven organization too?
This paper will investigate and illuminate just how the conventional analytics and AI/ML disciplines align and connect. It will provide technical decision makers with approaches for enabling Machine Learning (ML) culture and proficiency in organizations that are mature in their use of conventional data and analytics but not yet fully invested in ML. The paper will also explain why the success of such additive adoption of ML cloud initiatives can be greatly accelerated by applying a staged maturity model with defined processes and gates.