Thanks to the rapid adoption of cloud computing, the rise of compute power
and data volumes, and the emergence of easy-to-use solutions that require
little or no experience, machine learning (ML) is now more accessible than ever.
Leading organizations across nearly every industry are leveraging ML to
achieve positive business results. For many, ML has become a core component
of their operations. According to IDC, spending on artificial intelligence (AI) in
the United States will grow to $120 billion by 2025, representing a compound
annual growth rate (CAGR) of 26 percent over the 2021–2025 forecast period.¹
Amazon Web Services (AWS) is playing a pivotal role in the advancement of
ML, empowering customers to effectively use and derive the most benefit
from the technology. These customers span finance, healthcare and life
sciences, manufacturing, media and entertainment, the public sector, retail,
and technology.
¹ "Spending on Artificial Intelligence Solutions Will Double in the United States by 2025, According to a New IDC Spending Guide," IDC, March 17, 2022
Categorizing machine learning objectives
By offering the broadest and most complete set of AI and ML services,
AWS is able to meet its customers wherever they are in their ML journey
and help them achieve their business objectives. More than 100,000
customers use AWS AI and ML services for everything from enhancing the
customer experience and predicting business outcomes to reducing fraud
and accelerating innovation.
AWS helps organizations across industries successfully leverage ML across
three categories of critical business objectives: improving the customer
experience, optimizing business operations, and accelerating innovation.
This eBook features success stories from AWS customers that have achieved
transformative results across these three categories using powerful ML capabilities.
INTRODUCTION: REALIZING THE BUSINESS VALUE OF AI
Business in the age of accessible machine learning
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