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, artificial intelligence (AI) and machine learning (ML)
are now more accessible than ever.
A growing number of digitally native businesses across nearly every industry
are leveraging ML to achieve positive outcomes. For many, AI and ML have
become core components of their online operations. According to IDC,
spending on 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.
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Amazon Web Services (AWS) is playing a pivotal role in the advancement of
ML, providing the broadest and most complete set of AI and ML services for
businesses of any size. More than one hundred thousand AWS customers
are using AI and ML in finance, healthcare and life sciences, manufacturing,
media and entertainment, public services, retail, technology, and many
other industries.
¹ "Spending on Artificial Intelligence Solutions Will Double in the United States by 2025, According to a New IDC Spending Guide," IDC, 2022
Categorizing machine learning objectives
To drive growth and long-term sustainability, digitally native businesses have
leveraged AI and ML to deliver on three of the most fundamental objectives:
1. Improving the customer experience
2. Accelerating innovation
3. Optimizing business operations
This eBook features success stories from AWS customers that have achieved
transformative results across these three objectives with the help of readily
accessible AI and ML tools.
INTRODUCTION: REALIZING THE BUSINESS VALUE OF AI
Innovating in the age of accessible machine learning
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