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 serves as the cornerstone of any organization’s decision making processes - central to every application, process and business decision. As generative AI strategy and operations rapidly develop, data is even more critical in helping organizations react accurately to market changes, effectively deploy resources, and deliver more value to customers. How can you ensure that your organization is leveraging the latest generative AI technologies?
Join us on August 14 to learn about how you can start bringing the latest cutting-edge generative AI tools to your organization today. During this one-day interactive boot-camp, you will gain hands-on experience with Snowflake and AWS AI/ML and Analytics services, including Amazon SageMaker Canvas and Amazon QuickSight, while having a chance to work alongside industry experts, partners and other organizations facing similar challenges.
By the end of this workshop you will:
• Hear from industry experts about the latest generative AI joint solutions and use cases from Snowflake and AWS
• Gain hands-on experience leveraging Snowflake data to build predictive ML models, visualizing results using Generative business intelligence (BI), and deploying results to external applications
• No code data preparation and feature engineering
• No code machine learning modeling and deployment
• Learn how to automate the process of data collection, data preparation, model creation and the consumption of model insights - all without writing any code.
• Become empowered to easily build machine learning pipelines and visualize results to solve immediate business challenges - without any prior ML knowledge or programming experience
Note: Attendees must bring their own laptops to participate in the hands-on workshops.
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