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Emerging Data Science Trends in 2025 You Need to Know

Pickl AI

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. For data scientists and aspiring professionals, awareness of these trends guides skill development and career growth in a rapidly changing landscape.

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Beyond data: Cloud analytics mastery for business brilliance

Dataconomy

Machine learning and AI analytics: Machine learning and AI analytics leverage advanced algorithms to automate the analysis of data, discover hidden patterns, and make predictions. It involves analyzing large streams of real-time data to derive insights, optimize processes, and monitor device performance.

Analytics 203
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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

In Rita Sallam’s July 27 research, Augmented Analytics , she writes that “the rise of self-service visual-bases data discovery stimulated the first wave of transition from centrally provisioned traditional BI to decentralized data discovery.” 2) Line of business is taking a more active role in data projects.