Description: About this Item The item is a book Paperback The Author Name is Nadine Prill The Title is Driving Digital Transformation through Data and AI : A Practical Guide to Delivering Data Science and Machine Learning Products Condition New Other Comments Pages Count - 264. Binding type - Perfect. Content Language - English Category - COMPUTERS / Data Science / General BUSINESS & ECONOMICS / Strategic Planning Product Description - 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. We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details  are provided automatically  from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions.  The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling.   Gift IdeasThis is a  great Christmas gift idea.   Hours of ServiceWe have many warehouses,  some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 555z iHaveit SKU ID 160961520
Price: 43.27 GBP
Location: GB
End Time: 2024-12-27T09:38:24.000Z
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Fiction/Non-Fiction: Non-Fiction
Genre/Subject: COMPUTERS / Data Science / General
Brand: Kogan Page Ltd
Weight: 0.38
Style: NA
Title: Driving Digital Transformation through Data and AI A Practical
Release Title: Driving Digital Transformation through Data and AI A Practical
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Driving Digital Transformation through Data and AI A Practical
Colour: NA
Material: NA
Department: NA
Binding Type: Perfect
Item Length: 233.93
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 264 Pages
Language: English
Publication Name: Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products
Publisher: Kogan Page LTD
Publication Year: 2020
Subject: Computer Science, Business
Item Height: 235 mm
Item Weight: 400 g
Type: Textbook
Author: Alexander Borek, Nadine Prill
Subject Area: Data Analysis
Item Width: 158 mm
Format: Paperback