Leveraging new technologies (AI/ML/analytics)

AI/ML help organizations differentiate from their counterparts. Customers want to build new AI/ML capabilities across every facet of their business, which will drive the next wave of adoption to the cloud. This will propel our customers to put more of their data and core workloads on AWS. AWS makes it easier than ever for our customers to gain insight from their data using machine learning. Our ML services continue to grow, which is why we have tens of thousands of customers using AWS machine learning.

Machine learning is a top priority for many customers. It can drive increased customer or citizen experiences, more efficient organizational operations, and faster, more accurate decision-making. For a long time, the technology was limited to a few major tech companies and hardcore academic researchers. Things changed when cloud computing entered the mainstream. Compute power and data became more available, and machine learning is now making an impact across every industry. It is moving from the periphery to being a core part of every business and industry. When customers choose a cloud provider, up to 50% of their decision is based on their assessment of the AI and ML capabilities of providers. This decision has a ripple effect that will influence their choice for data, compute, analytics, and management services.

AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner. See Machine Learning on AWS.

For example, Amazon SageMaker AI is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy ML models at scale. It removes the complexity from each step of the ML workflow so you can more easily deploy your ML use cases, anything from predictive maintenance to computer vision to predicting customer behaviors.

Pre-trained AI services provide ready-made intelligence for your applications and workflows to help you improve business outcomes — based on the same technology used to power Amazon’s own businesses. You can build AI-powered applications without any machine learning expertise.

AI services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement. Because AWS uses the same deep learning technology that powers Amazon.com and AWS ML services, you get quality and accuracy from continuously-learning APIs. And best of all, AI services on AWS don't require machine learning experience.