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From Raw Data to Real Impact - Lessons from Real-World Transformations

Data Science Conference via YouTube

Overview

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Explore real-world data transformation strategies through practical case studies in this 31-minute conference talk from DSC MENA 25. Discover how companies across healthcare, telecommunications, and fintech have successfully leveraged AI and machine learning to unlock transformative business value from their raw data. Learn from detailed examples including AI-powered anomaly detection systems in fintech, automated customer segmentation in telecommunications, and scalable cloud-native solutions implemented at organizations like 2Degrees, Penny, MoMoney, and CloudKitchens for fraud detection, credit risk assessment, and demand forecasting. Gain actionable insights on converting raw data into strategic business assets through best practices in data consolidation, governance frameworks, AI-driven automation processes, and cloud architecture design. Master the essential components of building effective data strategies that drive meaningful business outcomes, whether you're a Chief Data Officer, data leader, or technical professional looking to implement transformative data solutions in your organization.

Syllabus

From Raw Data to Real Impact: Lessons from Real-World Transformations | Amr Nassar | DSC MENA 25

Taught by

Data Science Conference

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