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

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