To maintain focus on your core business objectives, avoid the struggle of
building your own machine learning environment. Instead, offload the heavy
lifting to Amazon SageMaker, which provides high-performance, cost-
effective, and scalable machine learning capabilities to implement a modern
machine learning environment across an entire business. No matter what the
machine learning skill set of your developers and data scientists, they can
use Amazon SageMaker to prepare, build, train, and deploy machine learning
models for virtually any use case. With Amazon SageMaker, your team can
access a broad set of purpose-built machine learning capabilities under one
unified visual user interface.
The challenges of harnessing
machine learning at scale
How Amazon utilizes machine learning to delight customers
Organizations can tap into Amazon's two decades of experience
developing real-world machine learning applications, including product
recommendations, personalization, robotics, voice-assisted devices, and
intelligent shopping.
Watch the video and discover how the machine learning capabilities of
Amazon SageMaker are powering Amazon Fulfillment Centers.
Intuit started out on its machine learning journey with
just one model that empowered its customers to get
the most out of their tax deductions.
Since then, machine learning models have become a
core part of Intuit's business and the company has seen
a massive expansion of the number of machine learning
models it uses—from fraud detection to customer
service and from personalization to the development of
new features within its products.
In 2020 alone, Intuit increased the number of models
deployed across its platform by over 50 percent. Intuit
turned to Amazon SageMaker to develop and deploy
at the scale of hundreds of models. Using Amazon
SageMaker, Intuit modernized its machine learning
platform and saved their tax filers over 25,000 hours by
utilizing self-help tools and cutting expert review time in
half, which ultimately improved customer confidence.
Watch the video ›
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