{"product_id":"data-product-management-in-the-ai-age-von-jessika-milhomem","title":"Data Product Management in the AI Age","description":"\n                                \n                \u003cp\u003e\n                                        “\n                    \n                    \u003cem\u003eAn outstanding companion for any data professional seeking to deepen their expertise and grow in the field of Data Product Management\u003c\/em\u003e\n                                        .” (Eduardo Juremeira, Data Engineering Manager, Adyen)\n                \n                \u003c\/p\u003e\n                                \n                \n                \u003cp\u003e\n                                        “\n                    \n                    \u003cem\u003eThis book is a valuable resource for data professionals, offering clear concepts and practical tools\u003c\/em\u003e\n                                        .” (Luis Oliveira, Analytics Engineering Tech Manager, Nubank)\n                \n                \u003c\/p\u003e\n                                \n                \n                \u003cp\u003e\n                                        \n                    \u003cstrong\u003eA practical guide to mastering data product management—bridging strategy, architecture, and execution for the AI era.\u003c\/strong\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \n                \u003cp\u003eWe 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.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eThis 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.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003eAdditionally, the book introduces the Golden Data Platform and the Data Product Management Canvas, important tools and frameworks coined by author Jessika Milhomem. These resources will help you begin transforming your organization’s data strategy, empowering you to stay ahead of the competition and thrive in the AI age.\u003c\/p\u003e\n                                \n                \n                \u003cp\u003e\n                                        \n                    \u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \n                \u003cul\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eExplore the evolution of data architecture and strategies\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eUnderstand the fundamentals of data product management\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eDifferentiate between Data Product and Data as a Product\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eKnow what the Golden Data Platform is and how to use it\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eUtilize the Data Product Management Canvas effectively\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eReorient your data strategy with product management principles\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eExamine the concepts of products and data architecture evolution in relation to leadership\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eEvaluate how to solve data architecture without bias by technology\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003eDesign and implement Data as a Product and Data Products through a project\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                    \n                    \u003cli\u003e\n                                                \n                        \n                        \u003cp\u003e Maintain and enhance Data Products once launched\u003c\/p\u003e\n                                                \n                    \n                    \u003c\/li\u003e\n                                        \n                \n                \u003c\/ul\u003e\n                                \n                \n                \u003cp\u003e\n                                        \n                    \u003cstrong\u003eWho \u003c\/strong\u003e\n                                        \n                    \u003cstrong\u003eThis Book is for\u003c\/strong\u003e\n                                    \n                \u003c\/p\u003e\n                                \n                \n                \u003cp\u003eData 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.\u003c\/p\u003e\n                            \n            \u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9798868813146\"\u003e\u003ch3\u003eDesign and Manage Your Data Strategy to Get Ahead\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9798868813146","offer_id":55677526311237,"sku":"9798868813146","price":48.14,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/f3639c4f-be6f-4043-bfab-7fa9b1fc3688.jpg?v=1774761581","url":"https:\/\/shop.autorenwelt.de\/en\/products\/data-product-management-in-the-ai-age-von-jessika-milhomem","provider":"Autorenwelt Shop","version":"1.0","type":"link"}