Make Data Driven Decisions with No Code ML and Generative BI Applications

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

Note: Attendees must bring their own laptops to participate in the hands-on workshops.

Date/Time

June 25th, 2024
8:30 AM - 4:30 PM EST

Location

AWS Office - JFK27
12 West 39th Street,
New York, NY 10018

Who should attend?

Business Decision Makers and Business Analysts.

Agenda

Featured Speakers

• Urvashi Chowdhary, Head of Product and GTM - LCNC Sagemaker, AWS
• David Ping, Head of Data & GenAI SA, Global Financial Service, AWS
• Emma Kelly, Sr. Analytics Specialist, Global Financial Services, AWS
• Patrick Bond, Sr. Analytics Specialist, Global Financial Services, AWS
• Danielle Rutsky, Lead Product Manager, Nasdaq

Featured Partner