ISBN: 9781789665413 - driving digital transformation through data and ai: a practical guide to delivering data science and machine learning products (19 risultati)

Condizione: Good. Used Item. Does not include New Access Codes , Cd's or one time use items that come when New. This item is Used.

Condizione: new.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New. 2020. 1st Edition. hardcover. . . . . .

Condizione: New.

Condizione: New.

Condizione: New. 2020. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: Brand New. 288 pages. 9.25x6.25x1.00 inches. In Stock.

Hardcover. Condizione: Brand New. 288 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.

Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 185.

Condizione: New. PRINT ON DEMAND.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Avoid being left behind and make data science and artificial intelligence a profitable part of your business with this practical guide to product delivery.&Uumlber den AutorAlexander Borek and Nadine PrillInhaltsverzeich.…

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…