Overview

The book starts by introducing fundamental concepts of modern data architecture for AI, laying the groundwork for understanding its importance. It then digs deep into the aspects of data ingestion and collection strategies. Subsequently, it discusses data storage and management techniques that cater specifically to AI workloads. Readers will understand the concepts of data processing, transformation, and building scalable and efficient data pipelines, and how to orchestrate interconnected processes. The book further explores the topics of scalable ML infrastructure and stream processing, concluding with insights into visualization, explainable AI, and future trends.

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9789365899771

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Author Information

Abhik Choudhury, based in Exton, PA, USA, is an analytics managing consultant and data scientist with more than 13 years of experience in scalable data solutions. He specializes in AI/ML, cloud computing, database management, and big data technologies. Praneeth Reddy Amudala Puchakayala is an accomplished data scientist and designer of scalable, innovative solutions using machine learning, AI, and advanced analytics. Aishwarya Badlani is a passionate data scientist and analytics leader specializing in transforming complex data into strategic business insights. With a background spanning marketing analytics, customer behavior modeling, and AI-powered decision systems.

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