Data is central to every application, process, and business decision, serving as the cornerstone of an organization’s digital transformation. Data propels new experiences and leads to new insights that foster innovation and address modern business problems.
This boot camp will enable participants to build predictive dashboards using no-code ML and Generative BI application that will help unlock the value of data to drive timely insights and innovation. With a use case of identifying customers at risk of defaulting on consumer loans, this session will teach participants how to automate the process of data collection, data preparation, and model creation, and how to derive model insights. Business analysts with no prior ML knowledge or programming experience will walk away able to easily build machine learning pipelines to solve immediate business challenges in Financial Services.
Get ready to gain hands-on experience with a variety of our AWS Analytics and AIML services, including Amazon Glue, Amazon SageMaker, Amazon Quicksight and Amazon Q; and to be inspired by our AWS executives, customers and partners, who will offer invaluable knowledge and real-world insights.
This workshop will cover:
- No code low code data preparation and feature engineering
- No code machine learning modeling and deployment
- Generative BI and natural language query