Cognitive Computing and Big Data Analytics

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This comprehensive guide explores the technologies behind cognitive computing, which harnesses big data to create systems that learn from experience and generate insights. It delves into key components such as knowledge representation, natural language processing, and dynamic learning methods that rely on evidence rather than constant reprogramming. Through detailed case studies from sectors like finance, healthcare, and manufacturing, readers gain practical insights into designing and testing cognitive systems. Contributions from organizations like Cleveland Clinic and Memorial Sloan-Kettering highlight real-world implementations, while a dedicated chapter on the IBM Watson platform underscores its role in shaping the cognitive computing landscape. The book also covers projects from Qualcomm, Hitachi, Google, and Amazon, showcasing the evolution of cognitive solutions that integrate concepts from artificial intelligence and big data analytics. Readers will learn to assess their application portfolios for potential pilot projects and leverage cognitive computing to drive organizational transformation. As cognitive systems emerge as a new computing era, this guide equips professionals with the theoretical and practical knowledge needed to navigate the evolving landscape of human-machine interaction and capitalize on new opportunities in their industries.