Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products
- Length: 264 pages
- Edition: 1
- Language: English
- Publisher: Kogan Page
- Publication Date: 2020-11-24
- ISBN-10: 1789665396
- ISBN-13: 9781789665390
- Sales Rank: #1407809 (See Top 100 Books)
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.
Cover Contents List of figures List of tables 01 Introduction Learning objectives for this chapter What you can expect from this book A new competitive playing field driven by data and AI What makes a machine intelligent? How digital players use machine learning to their advantage Why many digital transformation initiatives struggle How to scale data and AI across the organization Summary and conclusion Notes 02 Strategy and vision for data and AI Learning objectives for this chapter Key principles for creating the strategy and vision Reinventing the corporate strategy and business vision Creating the data product strategy Deriving the capability strategy Developing the transformation strategy Lessons learned and pitfalls for strategy and vision Template for a transformation roadmap Summary and conclusion Notes 03 Data product design Learning objectives for this chapter Key principles for designing data products Ideating data products Designing data products Validating data products Checklist for data product design Summary and conclusion Note 04 Data product delivery Learning objectives for this chapter Key principles for delivering data products Planning the delivery of data products Developing and deploying data products Operating and scaling data products Lessons learned and pitfalls for data product delivery Checklist for data product delivery Summary and conclusion Note 05 Capabilities and agile organization Learning objectives for this chapter Key principles for capabilities and agile organization Determining core capabilities for data and AI Defining roles and responsibilities to implement capabilities Setting up the agile organization Implementing and adapting processes Lessons learned and pitfalls for capabilities and agile organization Checklist for capabilities and agile organization Summary and conclusion Note 06 Technology and governance Learning objectives for this chapter Key principles for technology and governance Building the data platform Setting up the architecture and development standards Implementing data and AI governance Lessons learned and pitfalls for technology and governance Checklist for technology and governance Summary and conclusion Notes 07 Transformation and culture Learning objectives for this chapter Key principles for transformation and culture Growing a data and AI driven culture Successfully managing transformational change Implementing the strategy and vision Lessons learned and pitfalls for transformation and culture Checklist for transformation and culture Summary and conclusion Notes Index
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