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Cait O'Riordan discusses the North Star metric the Financial Times uses across the organization to drive subscriber growth. Or, why science and engineering are still different disciplines. Why companies are turning to specialized machine learning tools like MLflow. Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination. Carlos Humberto Morales offers an overview of Nauta, an open source multiuser platform that lets data scientists run complex deep learning models on shared hardware. Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers. Why companies are in need of data lineage solutions. Drawing insights from recent surveys, Ben Lorica analyzes important trends in machine learning. Account Hygiene, Conversational AI Playbook, Unix Time Falsehoods, and Testing/Debugging Machine Learning. The toughest bias problems are often the ones you only think you've solved. Amy O'Connor explains how Cloudera applies an "edge to AI" approach to collect, process, and analyze data. Peter Singer explores the new rules of power in the age of social media and how we can navigate a world increasingly shaped by "likes" and lies. Highlights from the O'Reilly Artificial Intelligence Conference in New York 2019. Watch highlights from expert talks covering AI, machine learning, data analytics, and more. Survey results reveal the path organizations face as they integrate cloud native infrastructure and harness the full power of the cloud. Fast, flexible, and functional: 4 real-world AI deployments at enterprise scale. Streamlining your data assets: A strategy for the journey to AI. Cassie Kozyrkov explains how organizations can extract more value from their data. The O'Reilly Data Show Podcast: Jeff Jonas on the evolution of entity resolution technologies. Microservices, serverless, AI, ML, and Kubernetes are among the most notable topics in our analysis of proposals from the O'Reilly Software Architecture Conference. David Boyle shares lessons on how analysts can harness data and creativity to build partnerships. Mike Olson describes the key capabilities an enterprise data cloud system requires, and why hybrid and multi-cloud is the future.