About the event

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 applications 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.

Get ready to gain hands-on experience with a variety of our AWS Analytics and AIML services, including Amazon Glue, Amazon SageMaker and Amazon Quicksight; and to be inspired by our AWS executives, Customers and Partners, who will offer invaluable knowledge and real-world insights.

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

• (1st Lab) No code low code data preparation and feature engineering.
• (2nd Lab) No code machine learning modeling and deployment.
• (3rd Lab) Generative BI and natural language query.


Date & Time

June 7th, 2024
8:00 AM - 4:30 PM

Location

AWS IAD28
13200 Woodland Park Rd
Herndon, VA 20171


Who should attend?

Product Managers, Line of Business leaders, Data Scientists, Directors of Data, Directors of Analytics, Directors of Product, Data Analysts.

This event is designed to cater to a diverse audience, from business leaders seeking to explore the frontiers of Generative AI and Amazon Q, to individuals with limited or no coding experience who aspire to dive into end-to-end data workflows. Even seasoned coders were invited to discover how they could unlock faster insights and harness the power of Generative BI.


Speakers

  • Raghu Akkapeddi - CEO, Index Analytics
  • Banjot Chanana, Dir. Database and Analytics Go-to-Market, AWS
  • KJ Lian - Sr. Manager, Data & AI Sales, AWS
  • Sam Dabboussi - Sr QuickSight Specialist, AWS
  • David Eyre - Data & AI Sales, AWS


Agenda

Time

Session

8:00 – 9:00 AM Welcome Breakfast
9:00– 9:15 AM Building a Data Driven Organization with AWS for Data
9:15– 9:30 AM Generative AI on AWS
9:30 - 10:00 Introducing Amazon Q
10:00 – 10:25 AM Voice of the Customer
10:25 – 10:35 AM  Coffee Break
10:35 - 11:15 AM Voice of the Partner: Index Analytics
11:15 AM - 12:00 PM Hands-on Kick-off: Use Case Introduction and Services Overview
12:00 – 12:45 PM Lunch Break
12:45 - 1:45 PM Lab 1: Low code.no code data preparation and feature engineering
1:45 – 2:45 PM Lab 2: No code machine learning 
3:00 – 3:30 PM Lab 3: Data driven decisions via dashboards and natural  language query 
3:30 - 4:30 PM RAG with SageMaker Canvas
4:30 - 4:45 PM Closing Comments

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  • Business analysts
  • Project managers
  • AWS Academy students
  • Other IT-related professionals



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