Artificial Intelligence & Machine Learning
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Reduce the Total Cost of Ownership with Amazon SageMaker
Learn how leading companies use Amazon SageMaker to improve efficiency, boost productivity, and lower costs.
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Automate Document Processing with Amazon Textract
Learn how to extract structured data from documents with speed, flexibility, and accuracy using Amazon Textract.
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Read ArticleMenten AI Leverages AWS, AI, and Quantum Computing to Create New and Improved Drugs
Menten AI created the world’s first protein designed on a quantum computer. The feat has huge implications for the world of drug discovery and design—and ultimately for all of us who may benefit...
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Read ArticleHow Alloverse is Creating a More Inclusive Internet with AWS
Co-Founded by CEO Julie Despraz, Swedish startup Alloverse has developed an open-source platform for virtual collaboration that is being used to build the spatial internet. The company’s platform...
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56:48Watch VideoThe 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
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27:52Watch VideoGetting Started with AWS Machine Learning
A quick crash course on AWS Machine Learning and how to apply it to your startup.
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41:54Watch VideoHow 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.
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58:26Watch VideoBuilding 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
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34:01Watch VideoBuild 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.
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47:42Watch VideoConfessions 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.
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36:56Watch VideoScale 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.
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16:07Watch VideoScaling 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.
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31:59Watch VideoHow 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.
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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.
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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.
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19:26Watch VideoSkydio: 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.
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16:21Watch VideoHow 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?
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14:40Watch VideoOperational 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.
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35:12Watch VideoElevating 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
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26:18Watch VideoNext 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.
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