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Driving Digital Transformation through Data and AI A Practical Guide to Delivering Data Science and Machine Learning Products

Borek Alexander Prill, Nadine
Innbundet / 2020 / Engelsk

Produktdetaljer

ISBN
9781789665413
Publisert
2020-11-03
Utgiver
Kogan Page Ltd
Vekt
640 gr
Høyde
240 mm
Bredde
164 mm
Dybde
25 mm
Aldersnivå
01, G, U, P, 01, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
264

Forfatter
Borek Alexander
Prill, Nadine

Biografisk notat

Dr Alexander Borek is an independent advisor for data, analytics and machine learning strategy. He was previously the Global Head of Data, Analytics & AI at Volkswagen Financial Services, scaling data products across international markets. In his previous roles, he led the data transformation at Volkswagen Group and worked as management consultant at Gartner and IBM. Dr Nadine Prill is Head of Product at Taktile, a Berlin based tech company that provides a platform for machine learning model deployment, governance and explainability. Previously, she worked as product manager at PricewaterhouseCoopers (PwC). She holds a PhD from the University of Oxford.

Driving Digital Transformation through Data and AI A Practical Guide to Delivering Data Science and Machine Learning Products

Borek Alexander Prill, Nadine
Innbundet / 2020 / Engelsk
Borek Alexander Prill, Nadine
Innbundet / 2020 / Engelsk
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"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

Se alle

"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

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.
Les mer
Avoid being left behind and make data science and artificial intelligence a profitable part of your business with this practical guide to product delivery.
    • 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
Les mer
Explains how to build the organizational capability to deliver Data and AI products and drive immediate business results as new digital technologies significantly disrupt business

Relaterte produkter

"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

Se alle

"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

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.
Les mer
Avoid being left behind and make data science and artificial intelligence a profitable part of your business with this practical guide to product delivery.
    • 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
Les mer
Explains how to build the organizational capability to deliver Data and AI products and drive immediate business results as new digital technologies significantly disrupt business

Produktdetaljer

ISBN
9781789665413
Publisert
2020-11-03
Utgiver
Kogan Page Ltd
Vekt
640 gr
Høyde
240 mm
Bredde
164 mm
Dybde
25 mm
Aldersnivå
01, G, U, P, 01, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
264

Forfatter
Borek Alexander
Prill, Nadine

Biografisk notat

Dr Alexander Borek is an independent advisor for data, analytics and machine learning strategy. He was previously the Global Head of Data, Analytics & AI at Volkswagen Financial Services, scaling data products across international markets. In his previous roles, he led the data transformation at Volkswagen Group and worked as management consultant at Gartner and IBM. Dr Nadine Prill is Head of Product at Taktile, a Berlin based tech company that provides a platform for machine learning model deployment, governance and explainability. Previously, she worked as product manager at PricewaterhouseCoopers (PwC). She holds a PhD from the University of Oxford.

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