Intelligent Automation: Johnson & Johnson’s Billion-Dollar Bet
In the past few years, robotic process automation (RPA) has been gaining traction as organizations seek to apply software robots to automate rules-based business processes. But organizations like pharmaceutical titan Johnson & Johnson are taking automation further by combining RPA with machine learning (ML) and artificial intelligence (AI) to automate more complex tasks. In this session, J&J’s Ajay Anand and Stephen Sorensen will explain what they’ve learned since telling senior leadership they could deliver half a billion dollars of impact over three years by applying intelligent automation to everything from basic business processes, to chatbots that can help employees and customers, to algorithms that can monitor the company’s supply chain and help it adjust to changing conditions.
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