Today’s leading organizations are using machine learning–based tools to automate decision processes, and they’re starting to experiment with more-advanced uses of artificial intelligence (AI) for digital transformation. Corporate investment in artificial intelligence is predicted to triple in 2017, becoming a $100 billion market by 2025. Last year alone saw $5 billion in machine learning venture investment. In a recent survey, 30% of respondents predicted that AI will be the biggest disruptor to their industry in the next five years. This will no doubt have profound effects on the workplace.
8 Ways Machine Learning Is Improving Companies’ Work Processes
Today’s leading organizations are already using machine-learning-based tools to automate decision processes, and are starting to experiment with more advanced uses of AI for digital transformation. Machine learning is enabling companies to expand their top-line growth and optimize processes while improving employee engagement and increasing customer satisfaction. Companies are using AI to personalize customer service, to improve customer loyalty and retention, to hire the right people, to automate finance, to measure brand exposure, to detect fraud, and to optimize supply chains, among many other applications. It’s no longer about whether managers should investigate adopting AI, but how fast they can do so. At the same time, organizations also need to be thoughtful about how they apply AI to their organizations, with a full understanding of the advantages and disadvantages inherent in the technology.