AI, Data Science, and Monetization Strategies: A Practitioner’s Roadmap to Building Revenue Engines with Artificial Intelligence and Data
Product Image Product Image Read sample Follow the author Rebecca M. Basta Rebecca M. BastaRebecca M. Basta Follow AI, Data Science, and Monetization Strategies: A Practitioner's Roadmap to Building Revenue Engines with Artificial Intelligence and Data by Rebecca M. Basta (Author), Stavros Basta (Author) See all formats and editions In an era where data is the new currency and artificial intelligence is the engine of competitive advantage, businesses that fail to monetize their data assets risk irrelevance.
AI, Data Science, and Monetization Strategies: A Practitioner’s Roadmap to Building Revenue Engines with Artificial Intelligence and Data
AI, Data Science, and Monetization Strategies is the definitive executive playbook for transforming raw data into measurable revenue — guiding leaders, strategists, and practitioners through every layer of the modern data-driven enterprise. From building robust data architectures and governance frameworks to deploying intelligent pricing engines, hyper-personalized customer experiences, and advanced machine learning models, this book bridges the gap between technical capability and strategic business value. Drawing on real-world case studies from Amazon, Netflix, Spotify, Uber, and Nielsen, readers will discover how to unlock new revenue streams through predictive analytics, maximize customer lifetime value, design ethical and explainable AI systems, and construct a scalable AI monetization roadmap fit for the autonomous enterprise of tomorrow. Whether you are launching your first data initiative or scaling an enterprise-wide AI program, this book delivers the frameworks, tools, and strategic clarity needed to turn intelligence into income — and data into durable competitive advantage.
