Taking the next
step with AWS
N o matter where organizations are in their
machine learning journeys, AWS provides
products, solutions, and services that can help
them take the next step. Featuring the world's
broadest and deepest set of machine learning
and AI services, AWS has worked with over ten
thousand customers to help them successfully
implement machine learning.
AWS is dedicated to putting machine learning
in the hands of every developer and is working
tirelessly to solve the toughest challenges that
stand in the way of that goal. AWS capabilities are
built on the most comprehensive cloud platform,
are optimized for machine learning with high-
performance compute, and compromise nothing
in security and analytics.
Let's explore current machine learning offerings
from AWS—and see how they can help
organizations progress in their journeys.
Intelligent contact center: Enhance your
customer service experience and reduce costs
by integrating machine learning into your
contact center.
Personalization: Improve customer engagement
and conversion by creating personalized web
experiences—tailored to individual customer
preferences and behaviors across channels.
Intelligent document processing: Instantly
extract text and data from virtually any
document, such as loan applications and
medical forms, without manual effort.
Intelligent search: Boost business productivity
and customer satisfaction by delivering accurate
and useful information faster from siloed and
unstructured information sources across the
organization.
Fraud detection: Improve profitability by
automating the detection of potentially
fraudulent online activity, such as payment fraud
and fake accounts, using machine learning and
your own unique data.
Media intelligence: Maximize the value of media
content by adding machine learning to media
workflows such as search and discovery, content
localization, compliance, monetization, and more.
Business metrics analysis: Accurately
predict demand forecasting and streamline
supply-demand decisions to combine historical
time-series data with additional variables such
as product features, pricing, and holidays.
Amazon SageMaker: Amazon SageMaker
enables developers and data scientists to quickly
and easily build, train, and deploy machine
learning models—thus simplifying scalability
across the entire business. Amazon SageMaker
removes the complexity that gets in the way
of successfully implementing machine learning
across use cases and industries—from running
models for real-time fraud detection to virtually
analyzing biological impacts of potential drugs to
identifying the best driver in F1.
20
