AWS Innovate - AI/ML for Startups 2020
Build AI-Powered Applications Without Any Machine Learning Expertise
Don’t let the idea of integrating artificial intelligence (AI) or machine learning (ML) into your workflow intimidate you.
Next Generation Cloud Platforms for Autonomous Development
Watch this session to review AWS AV solutions for the toolchain including data ingest, management, labeling, simulation, and model training.
Confessions of AI/ML Startup Founders
To help learn from those who’ve done it before, we’ve gathered AI/ML founders from some of the world’s top startups to give a peek behind the scenes into the secrets of their own success.
Scaling Your Startup: What to Expect When Building an ML Team
Discover how to set up a data lake and implement it into an ML experiment workflow, how to prepare an end-to-end workflow to easily share the workload, and other tips for scaling your startup.
How to Accelerate Your Models to Production with Amazon SageMaker
Dive deep into demonstrating SageMaker’s advanced features that help you train and iterate on your ML models faster.
Scale Your Large Training Jobs with Data and Model Parallelism
Learn how to maximize resource utilization to find performance bottlenecks, and how to reduce overall training and inference costs.