Assessing your Machine Learning Workloads

In this episode of the, AzureEnablementShow, David BlankEdelman is joined by Jason DeBoever, senior product manager, and Sudha Kumar, principal cloud solution architect to discuss how machine learningspecific assessments can help you avoid costly pitfalls like increased spend, loss of trust, and costly breaches using the five pillars of the Azure WellArchitected Framework. 0:00 Introduction 1:15 How we make sure we re doing this right 2:57 How is a workloadspecific assessment different than a general assessment 4:34 What are some of the machine learningspecific questions I can expect 7:11 What sort of recommendations can I expect from the assessment 9:35 How will the assessments evolve over time 11:13 What are the next steps Related episodes Architect successful workloads on Azure, Introduction Ep. 1: WellArchitected series Assess cloud readiness using Microsoft Assessments To watch more episodes in