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.
Hosted by Amazon Web Services, the Generative AI Builders Day will bring together industry leaders, data scientists, developers, technical decision makers, and engineers to explore creative applications of generative AI technologies and the best practices for the Advertising and Marketing Industry. Attendees will learn about the many ways to build generative AI applications for Advertising and Marketing use cases on AWS in interactive sessions with AWS AI/ML experts. This includes keynotes from technical leaders, panel discussions from Industry leaders, deep dive technical presentations, multiple hands on workshops, and a networking event.
Leaders, builders, and tech enthusiasts, join us to dive deep on how generative AI technologies are empowering developers to remake customer experiences and applications and unlocking the potential for industry transformation. You will hear from Randy Defauw, Sr. Principal Architect at AWS, on how organizations are rapidly innovating to create the right architectures for scaling generative AI securely, cost effectively, and responsibly. Randy will share about how various AWS customers are modernizing their data foundations, selecting industry-leading foundation models, and deploying on purpose-built accelerators to unlock the possibilities of generative AI.
Technical Talk - Accelerate development of generative AI applications with Amazon Bedrock and AWS Machine Learning services
In this session, you will hear about how to work with leading foundation models leveraging Amazon Bedrock for developing secure and scalable generative AI solutions using techniques such as prompt engineering, model tuning and Retrieval Augmented Generation (RAG) with your proprietary data. We will dive into the future of AI innovation with the latest from Amazon Bedrock and Generative AI powered services including Amazon Q and AWS Code Whisperer.
In this workshop dive deep on building creative assets for Advertising and Marketing Industry use cases with Amazon Bedrock. The workshop has multiple modules focusing on:
- Generating advertising assets such as mood boards to enhance and accelerate creative workflows.
- Generating images and copy for print and digital ads to improve time to market.
In this workshop, you will learn how to build a knowledge base from your proprietary data using embedding models like Amazon Titan Embeddings to convert the data into vector embeddings. We will then use Amazon Bedrock to build an application that provides responses to user queries using a foundational model by retrieving context from this knowledge base.
AWS Industry leaders will share their experiences and insights based on their work with Media and Advertising customers.
Get ready to dive deep into the generative AI revolution! Join us for an enlightening session where industry technical experts reveal the latest Generative AI trends and breakthroughs. Discover how generative AI is reshaping Media and Advertising, empowering businesses, and fueling innovation. Don't miss this opportunity to gain invaluable insights into the generative AI landscape and stay at the forefront of technological advancements.
Randy DeFauw is a Sr. Principal Solutions Architect at AWS. He has over 20 years of experience in technology, starting with his university work on autonomous vehicles. He has worked with and for customers ranging from startups to Fortune 50 companies, launching Big Data and Machine Learning applications. He holds an MSEE and an MBA, serves as a board advisor to K-12 STEM education initiatives, and has spoken at leading conferences including Strata and GlueCon. He is the co-author of the book SageMaker Best Practices.
Dan Morris is the Senior Director of Industry Solutions for the Communications, Media & Entertainment vertical at Databricks. Previously, Dan spent over 15 years at Viacom, where he most recently served as the Vice President of Data Platform. Dan holds multiple degrees, including a MS in Data Science from Northwestern University, and he has graduated from the d.school at Stanford. His industry experience and customer obsession make him an invaluable leader in shaping the future of data and AI within the media and entertainment industry.
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