Rewired: The McKinsey Guide to Outcompeting in the Age of Digital and AI

Cover Page
Title Page
Copyright
Contents
Introduction: The enterprise capabilities that turn digital and AI into a source of ongoing competitive advantage
	Digital as a source of competitive advantage
	The “How”
	What this book is . . . and isn’t
	It’s still Day 1 for digital and AI transformation
	Notes
Section One: Creating the Transformation Roadmap: A business-led roadmap is the blueprint for a successful digital and AI transformation
	Chapter 1 Get your top team inspired and aligned
		Vision
		Alignment
		Commitment
		Notes
	Chapter 2 Choose the right transformation “bite size”
		The domain-based approach
		Prioritizing domains
		Note
	Chapter 3 Have business leaders define what’s possible
		How to think about emerging technologies such as Generative AI
		Note
	Chapter 4 Figure out what resources you need to achieve what you want
		Pod composition
		Pod archetypes
		Estimating overall talent needs
		Note
	Chapter 5 Build capabilities for now and the next decade
		Assessing foundational digital capabilities
		Scoping your capability-building needs
		Partnering to accelerate capability building
	Chapter 6 The digital roadmap is a contract for your C-suite
	Chapter 7 The ultimate corporate team sport
		The CEO
		The chief transformation officer
		The CTO, CIO, and CDO
		The chief data officer
		The CHRO
		The CFO
		The chief risk officer
		Leaders of business lines and business functions
	Getting Ready Section One
Section Two: Building Your Talent Bench: Creating an environment where digital talent thrives
	Chapter 8 Core versus noncore capabilities – strategic talent planning
		What talent do you need in-house?
		Understanding the digital talent you have
		Determining the talent gap
		Notes
	Chapter 9 The talent team that can build your digital team
	Chapter 10 Hiring digital talent when they’re actually interviewing you
		A relevant, compelling, and authentic employee value proposition
		A recruiting experience built around the candidate
		Finding talent internally
		New employee onboarding journey
		Diversity, equity, and inclusion
		Notes
	Chapter 11 Recognize distinctive technologists
		Adjust compensation to pay for skills
		Use tech competency markers in performance management
	Chapter 12 Fostering craftsmanship excellence
		Flexible career paths
		Tailored learning journeys
	Getting Ready Section Two
Section Three: Adopting a New Operating Model: Rearchitecting your organization and governance to be fast and flexible
	Chapter 13 From doing agile to being agile
		Three ceremonies that matter most to drive agile performance
		Note
	Chapter 14 Operating models that support hundreds of agile pods
		Organizational building blocks
		Operating model design options
		Notes
	Chapter 15 Professionalize product management
		Career paths and professional development
		Note
	Chapter 16 Customer experience design: The magic ingredient
		Notes
	Getting Ready Section Three
Section Four: Technology for Speed and Distributed Innovation: Building a technology environment that empowers the entire organization to digitally innovate
	Chapter 17 Decoupled architecture for development flexibility and operational scalability
		From point-to-point to decoupled
		From manual to automated via code
		From fixed to evolving
		From batch to real-time data processing
		Notes
	Chapter 18 A more surgical and value-backed approach to cloud
		Reimagine the business domain and underlying tech concurrently
		Determine cloud dispositions and migration approach
		Build the cloud foundation
		Build up your FinOps capability
		Notes
	Chapter 19 Engineering practices for speed and high-quality code
		Ground rapid software delivery in DevOps
		Improve quality through coding standards and code maintainability
		Instill end-to-end automation through continuous integration and continuous deployment (CI/CD)
		Notes
	Chapter 20 The tools to make your developers highly productive
		Flexible and scalable development sandboxes
		Modern and standardized tooling
	Chapter 21 Delivering production-grade digital solutions
		Aim for a high degree of control and auditability
		Ensure the environment is secure, scalable, and available
		Incorporate monitoring and observability
	Chapter 22 Build in security and automation from the start
		Shift left on security
		Embed security into the SDLC using DevSecOps
		Notes
	Chapter 23 MLOps so AI can scale
		Note
	Getting Ready Section Four
Section Five: Embedding Data Everywhere: What it takes to make data easy to consume across the organization
	Chapter 24 Determine what data matters
		Identifying and prioritizing data
		Assessing data readiness
		Developing the data roadmap
		Note
	Chapter 25 Data products: The reusable building blocks for scaling
		Identifying data products that generate value
		Setting up data product pods
		Developing data products
		Note
	Chapter 26 Data architecture, or the system of data “pipes”
		Data architecture archetypes
		Deciding on data capabilities and adopting reference architectures
		Best practices for designing a data architecture
		Notes
	Chapter 27 Organize to get the most from your data
		Organization
		Talent and a data-driven culture
		DataOps tooling
		Governance and risk
		Notes
	Getting Ready Section Five
Section Six: The Keys to Unlock Adoption and Scaling: How to both get users to adopt your digital solutions and scale those solutions across the enterprise
	Chapter 28 Nail user adoption and underlying business model changes
		Two-pronged user adoption
		Business model adaptation
		Establishing an adoption team
		Notes
	Chapter 29 Design solutions for easy replication and reuse
		Designing an effective replication approach
		Creating a solution reuse method – the concept of assetization
	Chapter 30 Ensuring impact by tracking what matters
		Performance management architecture and KPIs
			Value creation tracking through business/operational KPIs
			Assessing pod health
			Change management progress
		Tracking with a stage-gate process
		Transformation office
		Notes
	Chapter 31 Managing risk and building digital trust
		Triaging the risks
		Reviewing policies
		Operationalizing your risk policies
		Raise awareness and pattern recognition
		Note
	Chapter 32 So, what about culture?
		Invest initially in the leadership team
		Build broad learning programs that can scale
		Reskill pivotal business roles
		Notes
	Getting Ready Section Six
Section Seven: Transformation Journey Stories: An exploration of how three companies have driven successful digital and AI transformations
	Chapter 33 Freeport-McMoRan turns data into value
		A copper mining business’s AI transformation journey
		Note
	Chapter 34 DBS – A multinational bank becomes a digital bank
		A multinational bank’s digital and AI transformation journey
		Notes
	Chapter 35 The future of play takes shape at the LEGO Group
		A global toy brand’s digital transformation
		Note
Acknowledgments
Index
EULA