Data Product Management in the AI Age by Jessika Milhomem (.PDF)
File Size: 14.6 MB
Data Product Management in the AI Age: Design and Manage Your Data Strategy to Get Ahead by Jessika Milhomem
Requirements: .PDF reader, 14.6 MB
Overview: A practical guide to mastering data product management—bridging strategy, architecture, and execution for the AI era. We have firmly entered the age of Artificial Intelligence (AI). Data, the backbone of this technology, is more crucial than ever. If the algorithm is the brain, data is the content that feeds it. This book argues that to succeed in this era, organizations should adopt a holistic approach to data—one that uses product management principles to inform how data is sourced, designed, managed, maintained, optimized, and leveraged. This book is divided into two sections, moving from fundamentals to practical applications. In the first part, you’ll learn about the concepts that underlie product theory, the data architecture journey, and the essential knowledge needed to manage data products. The second part focuses on putting everything into practice, with particular attention to designing solutions, ongoing maintenance, and optimization. For data leaders and managers responsible for designing and delivering data products, as well as product managers who want to collaborate more effectively with data teams. Analytics engineers, data engineers, data scientists, and Machine Learning engineers will find practical guidance for building impactful data solutions. Developers and data professionals aiming to move into leadership or product roles will also find valuable insights throughout.
Genre: Non-Fiction > Tech & Devices
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