Artificial Intelligence & Machine Learning
Reduce the Total Cost of Ownership with Amazon SageMaker
Learn how leading companies use Amazon SageMaker to improve efficiency, boost productivity, and lower costs.
Automate Document Processing with Amazon Textract
Learn how to extract structured data from documents with speed, flexibility, and accuracy using Amazon Textract.
The Full Machine Learning re:Invent Release Guide for Startups
Your dev team is working on Saturdays, your next fundraising round is on the horizon, your Machine Learning Engineers are still labeling data, your GPU is heating up under your desk, and your mind is
Getting Started with AWS Machine Learning
A quick crash course on AWS Machine Learning and how to apply it to your startup.
How to Build a Credit Scoring Model Using Amazon SageMaker
In the session, we'll show how FinTech startups can build, train, and deploy a custom machine learning model that helps you assess credit worthiness at scale.
Building Intelligent Applications with Machine Learning
On this episode, we speak with a fast-growing FinTech startup to hear how by using Amazon Sagemaker as the core of their platform they have been able to scale to over 3 million users worldwide whilst
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.
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.
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.
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.
Introducing Amazon SageMaker Studio
Join us as we introduce Amazon SageMaker Studio, the first full integrated development environment (IDE) for ML that makes it easy to build, train, tune, debug, deploy, and monitor ML models at scale.
An Introduction to Deep Learning
AI's got a firm grasp on the moment. Companies all over the world are turning to deep learning to optimize business. Get up to speed with this crash course in the basic concepts of deep learning.
Skydio: Scaling autonomous flight for enterprise with AWS
Learn how Skydio is using AWS to enable rapid development of disconnected intelligent systems. AWS services like Amazon Kinesis and Amazon S3 enable Skydio’s high-throughput data ingestion.
How cloud robotics can protect employees and customers
Cloud robotics seems to be the new buzzword in the area of automation, but what does it really mean and how can it benefit your organization?
Operational BI: Executing ML models at speed and scale
Engineering Manager Carl Sverre discusses how SingleStore leverages AWS services in the ML workflow to compile and run Amazon SageMaker models as database functions against real-time data.
Elevating Customer Experience with Decibel
How do the world’s largest brands, like Lego, British Airways, and Allstate Insurance, find ways to continually improve their customer experiences? They use Decibel, an award-winning, machine learning
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.
Role models: How AI is improving diversity in fashion
What’s the key to the future of diversity and inclusion in the fashion industry? According to Lalaland cofounder and CTO Ugnius Rimsa, it’s AI. Learn how Lalaland uses Amazon services like Amazon Cogn
How to Build This | S1E1 Add Personalization to Your Apps
Learn how to incorporate personalization into your apps – no ML experience required! We’ll demonstrate this by using the example of an app that recommends courses for students.