Machine Learning

Enterprise machine learning guide

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2 Machine learning is quickly becoming a fundamental building block of business operations, providing real impact such as improved processes, increased efficiency, and accelerated innovation. Advances in machine learning technology have combined with high-performance compute options and an abundance of data to create a perfect storm to transform organizations of all sizes. For enterprise leaders, the need to embrace machine learning capabilities is immediate. Gartner forecasts that AI-derived business values are projected to reach $3.9 trillion in 2022. 1 As enterprises accrue data from numerous sources—ranging from customer feedback and sales logs to internal processes and financial forecasting—there is an opportunity to operationalize this often "dark data" into insights that can create new revenue streams. INTRODUCTION TO MACHINE LEARNING 2 63% of respondents report revenue increases in the business units where their companies use AI 2 1 Petty, C., & van der Meulen, R. (Eds.). (2018, April). 2 https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its- worth-but-few-scale-impact

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