Primed for AI innovation
Powering organizations of all sizes to go further, faster with AWSA foundation for your generative AI innovation
Amazon has been at the forefront of artificial intelligence (AI) innovation for decades. We were early pioneers, using AI to reinvent shopping experiences, provide entertainment, optimize operations, and drive innovation across our businesses. Our AI expertise, customer centric approach, and comprehensive data and AI capabilities enable us to guide organizations like yours to unlock the power of generative AI on AWS. Here are several ways we’ve innovated with AI.
Revolutionizing online shopping
From our earliest days, we have used AI to change the way you shop. With over 8,600 products sold every minute, AI-driven innovations like personalized recommendations help customers effortlessly discover products tailored to their unique interests and preferences. AI also powers forecasting, supply chain, and capacity planning, enabling efficient management of inventory for hundreds of millions of products. As technology evolves, we continually explore how AI can improve and enhance the shopping experience for our customers.
Democratizing technology
Amazon experienced firsthand the expense and headaches of provisioning and managing IT infrastructure from the early days Amazon.com. In 2006, we launched AWS to rethink this core capability for our customers by providing seamless access to secure storage, databases, compute, networking, and AI. And we continue to democratize access to this technology by investing in free cloud computing and AI skills training to prepare 2 million people globally for AI-enabled jobs by 2025.
Doing more with Alexa
From finding information to managing smart homes to providing entertainment, Alexa revolutionized the way people interact with technology by allowing them to use voice commands to perform diverse tasks. Powered by more than 30 different machine learning (ML) systems including deep learning and natural language processing, Alexa understands and fulfills billions of user interactions each week.
Delivering packages in a safe, scalable way
Improving the customer experience means putting emerging technologies to work in unexpected ways. Our Prime Air autonomous drone system relies on smart design and AI-fueled deep learning to keep airborne delivery fast and safe. Our goal? To expand next-generation drone delivery to reach more customers.
Boosting fulfillment center safety and efficiency
In Amazon Fulfillment Centers, more than half a million robots to safely stock inventory, file orders, and sort packages for delivery. ML algorithms help plan and optimize the robotic picking routes through our extensive facilities, expediting the flow of 1.6 million packages from the center to the customer. It’s just one example of how we innovate with AI to boost efficiency while delivering exceptional customer experience.
“Generative AI has captured our imagination. I believe it will transform every application, industry, and business.”
—Swami Sivasubramanian, VP, AI and Data
“Generative AI has captured our imagination. I believe it will transform every application, industry, and business.”
—Swami Sivasubramanian, VP, AI and Data
“Generative AI has captured our imagination. I believe it will transform every application, industry, and business.”
—Swami Sivasubramanian, VP, AI and Data
6 things business leaders need to know about generative AI
Responsibly building AI
The rapid growth of generative AI brings promising new innovation and, at the same time, raises new challenges. At AWS, we are committed to fostering the safe, responsible, and trustworthy development of AI. We take a people-centric approach that prioritizes education, science, and our customers. You can integrate responsible AI effectively across your organization with services and tools like Guardrails for Amazon Bedrock, Amazon SageMaker Clarify, AWS AI service cards, and many more.
Sustainability at Amazon
Across Amazon, we are committed to building a sustainable business for our customers and the planet. AWS focuses on operating efficiently across all our systems. This means optimizing the computing power, data storage, and networking needed to run generative AI applications to reduce our environmental impact. Our goal is to leverage the capabilities of AI while protecting the environment. We are also creating tools and guidelines to help our customers make their generative AI applications more sustainable.
