Using ML to reduce cloud spend - ERP Spain.com - España y América Latina

One of the main reasons to move to the cloud is reducing costs and saving money. Adversely, the ease of provisioning additional costly resources on the cloud necessitates the need for tight spend control. Without this control, cloud migrations will not achieve its business goals and fail. Basic cost control can be achieved using simple reports, spend alerts and force-shutting-down of runaway projects. The next level of cost control includes storing details billing data and then using this data to: Build dashboards that allow visualizing different aspects, Build ML models to predict future spend, Analyze what-if scenarios to reduce future costs. About the presenter: As a member of TELUS's Cloud Center of Excellence, Ziv is advancing cloud adoption by building hardened, ready-to-go patterns that ensure security, reliability, operational and cost-efficiency. Ziv started his career as a software developer and now has over 20 years of experience in the IT world, leading development teams and bringing complex projects from concept to production. His current focus is on enabling the development of cloud-native applications and allowing the organization to get the full benefits of the cloud. Ziv holds a Ph.D. from Tel Aviv University, specializing in machine learning.