No longer limited to global technology enterprises and data science specialists, machine learning (ML) has entered the mainstream. Thanks to the cloud, the barriers to widespread use of machine learning are rapidly disappearing. The cloud brings together data, low-cost storage, security, and machine learning services along with high-performance, cost-effective CPU- and GPU-based compute instances, which are essential to machine learning success. The cloud also offers a payas- you-go cost model that further enables customers to control costs.
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Explore a curated list of AI use cases for your organization and discover how organizations across the world are using AI to drive business outcomes.
Learn how 4 startups are leveraging machine learning to solve key challenges and unlock new opportunities.
Read this eBook to learn how 4 digitally native companies are using machine learning to solve key challenges and sustain competitive advantages.
This eBook will show you how to to succeed with artificial intelligence and machine learning. Use the three keys for effective adoption to promote successful outcomes.
Read this eBook to learn how to achieve success with machine learning. Follow the 6 steps to achieve measurable results at every stage of your ML journey.
This eBook outlines the 7 leading use cases for machine learning that solve business problems. Read customer quotes detailing how an AI service and/or Amazon SageMaker helped solve for these problems.
In this eBook, we highlight 7 ML use cases that startup customers are achieving success with today. These use cases solve real business problems and can be completed quickly, with limited budgets.
This eBook discusses the importance of an end-to-end platform to scale ML initiatives across an organization, addressing the need for data preparation, MLOps, low-code/no-code, and responsible AI.
This HBR briefing paper explores the 3 keys to successfully implementing and scaling AI and ML to unlock the value of data across your business.
This eBook highlights how AI and ML go beyond day-to-day business to transform our society - showcasing how organizations are using ML to help fight climate change, improve human health, and more.
This eBook highlights key customer stories, across industries and use cases, focused on how machine learning on AWS has helped transform business and solve real world problems.
Accelerate machine learning with low-cost, high-performance, ML-optimized infrastructure.
Easily prepare data, and build, train, and deploy machine learning applications with AWS.
Follow the six steps for driving business value and delivering real results with machine learning
Learn how AWS is helping 7 leading businesses leverage machine learning (ML) to improve customer experiences, optimize business operations, and accelerate innovation
Machine learning is making it easier for organizations to detect potentially fraudulent online activities
