What is the Next in Data Science and Business Intelligence Practice
summary
Survey of how recent advances in analytics, IoT, AI, machine learning and robotics are changing business performance and competition by enabling disruptive data-driven models. Covers gaps companies face with structured vs unstructured data, practical questions for data/analytics strategy (use cases, data collection, architecture, costs, build vs buy) and how to embed insights into workflows and decision-making, with examples like telematics replacing traditional demographic datasets.
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