Operationalize Data Science for Advanced Decision Support

Explore the process of operationalizing data science for advanced decision support in this comprehensive conference talk from PASS Data Community Summit. Learn how to leverage modern computing power and Microsoft Azure Machine Learning services to create sophisticated predictive models for data classification, anomaly detection, and behavior prediction. Follow a case study to understand how to select impactful projects, set prediction targets, and optimize data usage for maximum results. Discover best practices for developing, monitoring, and maintaining predictive models throughout their lifecycle. Gain insights on integrating these models into your organization's architecture to enhance decision-making capabilities across all levels. Delve into data engineering principles and cutting-edge tools that enable the creation of a robust data science framework, paving the way for pervasive predictive analytics in your organization.

Operationalize Data Science for Advanced Decision Support - Carlos Bossy