Implementing Machine Learning in Your Organization

Machine learning and artificial intelligence are now moving from the realm of research into adoption. Machine learning adoption offers immense benefits which can provide any organization with a competitive edge -- if executed well. Technological adoption requires a pragmatic and collaborative approach across the organization driven by agile practices.This also comes the need for trusted data sources, organizational change management, iterative revalidation practices and measuring the business value of the technology insertion. In part one of this series on machine learning (ML), we defined machine learning, delved further into the various types of machine learning models, and described their common applications. This article focusses on the tactical execution steps and organizational modifications required to make the ML dream a reality. Establishing machine learning within any organization requires planning and collaboration.