Machine Learning - eBook (EN)

ML Six steps to machine learning success

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INTRODUCTION Forging ahead When deployed with the right strategy, artificial intelligence (AI) and machine learning (ML) can increase agility, streamline processes, boost revenue by creating new products and improving existing ones, and enable better, faster decision-making. There's no doubt that AI and ML can help companies achieve more—by 2025, global spending on AI will reach $204 billion. 1 It's also clear that adopters continue to have confidence in AI's ability to drive value and competitive advantage. While ML has been around for decades, its accessibility as a tool to transform businesses is relatively new. Additionally, the lack of a singular proven path to ML success is keeping some businesses waiting on the sidelines, unsure of how to take the next (or even the first) step on the journey. It's time for organizations to overcome ML barriers, stop playing catch-up, and forge ahead with confidence. This eBook outlines a proven path—from the first step to measuring results—with insights from Amazon ML best practices and its experience helping thousands of customers realize their own initiatives. 1 "Investment in Artificial Intelligence Solutions Will Accelerate as Businesses Seek Insights, Efficiency, and Innovation, According to a New IDC Spending Guide," IDC, 2021 2 "Gartner Identifies Top 10 Data and Analytics Technology Trends for 2020," Gartner, 2020 3 "Becoming an AI-fueled Organization," Deloitte, 2021 of enterprises will start operationalizing AI by the end of 2024 2 , and 66% view AI as critical to success 3 . 75% 2

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