Artificial intelligence has become increasingly relevant on the C-level agenda, due to the precipitous rise of high-performance computing power to process ever larger amounts of data and the application of advanced machine-learning techniques to solve problems in new and different ways. While the promise of using AI to accelerate growth and productivity is intriguing, senior management teams often struggle to sift through academic and vendor hype and think strategically about which decisions and business problems to solve with AI. At the same time, challenges in how the human-machine interface is designed limit the ability for AI insights to drive more effective human decision making. Nicolaus Henke explores what CEOs currently think about AI and explains how to drive adoption successfully across the enterprise.
Nicolaus Henke is a senior partner at McKinsey & Company, where he advises leading companies on how to improve decision making and performance through advanced analytics, artificial intelligence, and end-to-end data enabled transformations, and is the global leader of McKinsey Analytics, which has more than 2,000 dedicated analytics practitioners and translators, where he oversees partnerships between McKinsey and the wider artificial intelligence, data, and computing ecosystem. Nicolaus is the chairman of QuantumBlack (acquired by McKinsey in 2015), a company operating at the intersection of strategy, technology, and design, and a member of McKinsey’s global board, the Shareholder’s Council. He helped found and is a member of the Board of Innovative Healthcare Delivery at Duke Medicine and serves on the Dean’s Advisory Council at Harvard’s Kennedy School. Nicolaus frequently speaks on big data, analytics, and healthcare topics at global forums such as the World Economic Forum, the Milken Institute, and Forbes. He holds a master’s degree and PhD in business from the University of Münster, Germany, and a master’s in public administration from Harvard University, where he was a John J. McCloy Scholar.
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