Mackenzie is the Global Startup Evangelist at AWS. His days are spent traveling the globe to meet startups, share their stories, and connect engineering teams together. Every day there are a large number of startups launching on AWS across every imaginable industry. It’s Mackenzie’s mission to find stories of startups that are helping to improve the world and share these stories with a wide audience.
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Prior to joining AWS, Mackenzie was the Head of Technical Operations at Betterment, the world’s largest independent robo-advisor based in NYC which manages over $8B in assets. Mackenzie was a founding engineer and Head of Technical Operations at Oscar Health, an insurance startup also based in NYC, helping to grow the company to over 400+ employees.
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 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.
Note: Attendees must bring their own laptops to participate on the hands-on workshops.
This event is tailored for business professionals and analysts seeking to harness the potential of data-driven insights and innovation. Whether you have limited programming experience or are new to machine learning, this boot camp offers a unique opportunity to learn how to develop end-to-end data strategies and create machine learning pipelines using user-friendly visual tools.
This is a data strategy hands-on boot camp with three data labs featuring Amazon Glue, Amazon Athena, Amazon Sagemaker Canvas, Amazon Quicksight, and Amazon Q:
• No code data preparation and feature engineering
• No code machine learning modeling and deployment
• Generative BI and natural language queryÂ
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