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Avoid being left behind and make data science and artificial intelligence a profitable part of your business with this practical guide to product delivery.
Leading tech companies such as Netflix, Amazon and Uber use data science and machine learning at scale in their core business processes, whereas most traditional companies struggle to expand their machine learning projects beyond a small pilot scope. This book enables organizations to truly embrace the benefits of digital transformation by anchoring data and AI products at the core of their business.
It provides executives with the essential tools and concepts to establish a data and AI portfolio strategy as well as the organizational setup and agile processes that are required to deliver machine learning products at scale. Key consideration is given to advancing the data architecture and governance, balancing stakeholder needs and breaking organizational silos through new ways of working.
Each chapter includes templates, common pitfalls and global case studies covering industries such as insurance, fashion, consumer goods, finance, manufacturing and automotive. Covering a holistic perspective on strategy, technology, product and company culture,
Driving Digital Transformation through Data and AI
guides the organizational transformation required to get ahead in the age of AI.
It provides executives with the essential tools and concepts to establish a data and AI portfolio strategy as well as the organizational setup and agile processes that are required to deliver machine learning products at scale. Key consideration is given to advancing the data architecture and governance, balancing stakeholder needs and breaking organizational silos through new ways of working.
Each chapter includes templates, common pitfalls and global case studies covering industries such as insurance, fashion, consumer goods, finance, manufacturing and automotive. Covering a holistic perspective on strategy, technology, product and company culture,
Driving Digital Transformation through Data and AI
guides the organizational transformation required to get ahead in the age of AI.
Inhaltsverzeichnis
- Chapter - 01: Introduction to delivering data and AI products;
- Chapter - 02: Developing the data and AI product strategy and goals;
- Chapter - 03: Setting up the data and AI product delivery organization;
- Chapter - 04: Identifying and defining data and AI products;
- Chapter - 05: Delivering high quality data and AI products;
- Chapter - 06: Designing the data and AI platform and architecture;
- Chapter - 07: Driving transformative change with data and AI products;
- Chapter - 08: The future of data and AI products in your organization
Produktdetails
Erscheinungsdatum
03. November 2020
Sprache
englisch
Seitenanzahl
264
Autor/Autorin
Alexander Borek, Nadine Prill
Verlag/Hersteller
Produktart
kartoniert
Gewicht
599 g
Größe (L/B/H)
234/156/17 mm
ISBN
9781789665390
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Pressestimmen
"After years of progress in AI, might the hype be growing faster than the reality? Are we about to enter an 'AI autumn'? Not if Borek and Prill have anything to say about it! Digital transformation is tough - this book improves your odds." Thomas C Redman, "the Data Doc", Harvard Business Review Blogger and Author
"Clear and to the point in a language that works for executives. A must-read for any leader." Holger Kömm, Senior Director Advanced Analytics, Adidas
"A great in-depth introduction to how to add value to companies using digitalization, data and AI." Patrick Glauner, Professor of Artificial Intelligence, Deggendorf Institute of Technology
"Provides great guidance on how to think of data products instead of projects - which is a key factor in mastering the challenges of digitalization." Carsten Bange, Founder and CEO, BARC (Business Application Research Centre)
"A must-read for everyone involved into turning digitization and AI into real value for your company. Whether you're in the middle of the process looking for some orientation or just about getting started, this book will provide you with the advice you need!" Alexander Thamm, CEO and Founder of Alexander Thamm GmbH
"Clear and to the point in a language that works for executives. A must-read for any leader." Holger Kömm, Senior Director Advanced Analytics, Adidas
"A great in-depth introduction to how to add value to companies using digitalization, data and AI." Patrick Glauner, Professor of Artificial Intelligence, Deggendorf Institute of Technology
"Provides great guidance on how to think of data products instead of projects - which is a key factor in mastering the challenges of digitalization." Carsten Bange, Founder and CEO, BARC (Business Application Research Centre)
"A must-read for everyone involved into turning digitization and AI into real value for your company. Whether you're in the middle of the process looking for some orientation or just about getting started, this book will provide you with the advice you need!" Alexander Thamm, CEO and Founder of Alexander Thamm GmbH
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