Data Product Management in the AI Age - Milhomem, Jessika
36,99 €
inkl. MwSt.
Versandkostenfrei*
Erscheint vorauss. 13. Juli 2025
payback
18 °P sammeln
  • Broschiertes Buch

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…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
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.

Additionally, 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.

What You Will Learn

Explore the evolution of data architecture and strategies

Understand the fundamentals of data product management

Differentiate between Data Product and Data as a Product

Know what the Golden Data Platform is and how to use it

Utilize the Data Product Management Canvas effectively

Reorient your data strategy with product management principles

Examine the concepts of products and data architecture evolution in relation to leadership

Evaluate how to solve data architecture without bias by technology

Design and implement Data as a Product and Data Products through a project

Maintain and enhance Data Products once launched

Who This Book is for

Undergraduates in the early semesters of their data science degrees (as it assumes no industry or programming experience); professionals (the practitioner interviews will be helpful); business leaders who want to understand what data science can do for them and the data science work being done by their teams; and career changers who want to get a good foundational understanding of the field before committing to other lea
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Autorenporträt
Jessika Milhomem has over 18 years of experience in designing and implementing strategy for Data Product Management, Data Governance, Analytics/Data Engineering, and Machine Learning Engineering in different sizes and business industries, such as digital banking like Nubank and PagSeguro, digital fashion, telecommunication, education, automotive, consumer goods, and others. Jessika holds a degree in databases, a post-graduate degree in BI with emphasis in EPM from Faculdade de Informática e Administração Paulista (FIAP), and an MBA in big data analytics from Fundação Instituto de Administração (FIA). Her passion lies in integrating the triad of business contexts and needs, the power of data, and the team effort dynamic to deliver impactful results. That's why she leads her team, empowering them to consume and produce data products and data as a product, to strengthen the business decisions in creating innovative solutions for customers.