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CHANGING THE GAME INTRODUCTION
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Industrial companies, such as those in
manufacturing, energy, mining, agriculture,
and transportation, are increasingly looking to
fuel digital transformation—from optimizing
operations to accelerating design to reinventing
supply chains. For these organizations, data has
become the connective tissue that holds their
complex industrial systems together.
In efforts to collect, analyze, and make sense
of data, industrial companies have increasingly
adopted new technologies, such as cloud
computing, the internet of things (IoT), advanced
analytics, and machine learning.
When properly implemented and utilized,
these solutions improve operational efficiency
and workplace safety through predictive
maintenance, computer vision (CV), and advanced
automation.
Machine learning, in particular, has emerged as
a critical enabler of digital transformation. With
its ability to detect anomalies quickly and grow
smarter over time, machine learning is driving
business value across existing systems and new
solutions alike. Numerous case studies have
demonstrated the potential of machine learning
to grow revenue and lower costs.
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Challenges persist, however. Liberating the data
trapped in these systems can be difficult. And
organizing, understanding, and making effective
use of the mountain of data created by intelligent
technologies may require rethinking long-
standing processes and accelerating innovation.
In this eBook, we'll explore how today's industrial
companies are leveraging machine learning to
drive digital transformation and its associated
benefits. Then we'll take a look at common
challenges in the industrial world—and how AWS
can help you successfully adopt machine learning
to overcome them.
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https://aws.amazon.com/machine-learning/customers/
Accelerate your digital transformation
with machine learning
