Democratize analytics and machine learning with no-code AWS services (Level 200)

Access to all data for fast analytics at scale is key for 360-degree projects involving data engineers, developers, analysts, data scientists, BI professionals and other users. However, building such models requires depth of technical knowledge and resources. This session showcases the how to build and visualize accurate ML predictions in BI solutions. Learn how to prepare tabular datasets and train a ML model with Amazon SageMaker without writing a single line of code. We then demonstrate how Amazon QuickSight, a cloud-native, serverless, business intelligence with native ML integrations and usage-based pricing, allows users to meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries. Download slides »
Speaker: Darshit Vora, Senior Startup Solutions Architect, AWS India
Duration: 30mins