AWS Innovate: Generative AI + Data Edition 2024
as the organisers put it
AWS Innovate is a free online event designed to inspire and educate executives and IT professionals about AWS.
| title | author | length |
|---|---|---|
| How Mixbook leveraged genAI to offer personalized experiences | DJ Charles, Ryan Ries | 25m |
Mixbook combines Amazon SageMaker, Amazon Bedrock and Amazon Rekognition with Mission Cloud to auto-curate photos, generate backgrounds, stickers and captions… | ||
| Keeping pets happy and healthy: Purina’s journey with genAI | Liz Hertel, Jack Tanny | 23m |
Purina prototypes a generative AI pet‑trainer chatbot using Amazon Bedrock, tying product data in Aurora/OpenSearch via RAG and a serverless API front end… | ||
| How Rocket Companies modernized their data strategy on AWS | Dian Xu | 22m |
Rocket Companies moves from a monolithic Hadoop lake to an AWS stack using Aurora, Dynamo, Redshift, Lambda, EMR, Glue Catalog, Athena, SageMaker Studio… | ||
| Foundation Models: Blueprints for success | Chris Fregly, Philipp Schmid | 27m |
Describes building and running foundation models using Optimum Neuron, the AWS Neuron SDK and Trainium/Inferentia on SageMaker, with concrete tradeoffs… | ||
| Generative AI for technology leaders | Tom Godden | 27m |
Generative AI is framed around concrete tooling, outcomes, and risks: enterprises build GenOS on Amazon Bedrock and SageMaker and run 65 billion predictions a… | ||
| Customizing genAI applications for your business | Maira Ladeira Tanke | 29m |
Practical blueprint for making foundation models business-ready: use Amazon Bedrock’s managed retrieve-and-generate API or the retrieve API plus knowledge… | ||
| Generative AI use cases | Albert Esplugas | 23m |
Overview of concrete generative AI wins: AWS customers fine-tune models with Amazon Bedrock and deploy QnABot chatbots and Amazon Q in Connect to cut contact… | ||
| nothing matches | ||