Jay Rao

Join our session to discover production-ready generative architectures AI pioneers leverage to ship tomorrow’s customer experiences and transform industries with lean teams, constrained budgets but accelerated timelines.

2024 has been the year of taking generative AI applications into production. Launching generative AI applications requires careful considerations around model selection and evaluations, fine-tuning versus RAG, security, privacy, hallucination control, and cost management.

As the volume, complexity, and speed of user-generated content increase, organizations of all sizes commit significant technical and human resources to help ensure that customers and brands are not harmed by offensive material and that sensitive information is not exposed publicly, all while keeping operational costs down. Join this workshop to learn how to build a multimodal content...

The volume and complexity of the visual clues that build an understanding of the world keep increasing. In this session, learn how to build computer vision applications that automate visual analysis with Amazon Rekognition—without any previous machine learning experience needed.

In motorsports, one-tenth of a second can be the difference between first and sixth place—and millions in prize money. In this session, we provide two architectures that race teams use to automatically analyze images and video in real time to gain a competitive advantage.