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Table of ContentsIntroduction 1. Digital transformation 2. From customer to code and from code to customer 3. Three capabilities for success 4. Intended Book Audience 5. Plan 4.1. Part One: Digital Transformation 4.2. Part Two: The Exponential Information System 4.3. Part 3: Software platforms and service factories Part 1: Digital transformation: Customer orientation and homeostasisChapter 1 1.1 "Markets are conversations 1.1.1 The economy of attention 1.1.2 Conversations and content strategy 1.1.3 Each customer is unique 1.1.4 The economy of intention 1.2 "The customer is the architect of his experience 1.2.1 Customer experience as the focus of the digital strategy 1.2.2 Co-construction with users 1.2.3 Products, services and ecosystems 1.2.4 The obsession with the customer's time 1.3 Reinventing products in a digital world 1.3.1 Digital products and digital production 1.3.2 Continuous product discovery 1.3.3 Knowledge engineering 1.3.4 The role of objects in the materialization of services 1.4 Producing in a digital world 1.4.1 The ambition of Digital Manufacturing 1.4.2 Artificial intelligence as a complexity absorber 1.4.3 Augmented humans and augmented environment 1.4.4 Optimize with the "digital twin" Summary Chapter 2 2.1 Digital homeostasis 2.1.1 Change comes from the customer 2.1.2 Accelerating change, from uses to technologies 2.1.3 The multitude is an opportunity 2.1.4 The "letting go" of digital transformation 2.2 Anticipation and agility 2.2.1 Situational potential and anticipation 2.2.2 Short time and long time 2.2.3 Cultivating innovation 2.2.4 Customer orientation as a compass 2.3 Scalable organizations adapted to continuous change 2.3.1 Exponential Organizations (ExO) 2.3.2 Networks of autonomous teams 2.3.3 Enterprise 3.0 2.3.4 Continuous learning 2.4 Culture Change and Change Management 2.4.1 Which change for a digital transformation? 2.4.2 Resistance to change 2.4.3 Motivation and commitment 2.4.4 A culture "without borders Summary Chapter 3 3.1 Innovation in the digital world 3.1.1 Innovation is about execution 3.1.2 Innovation requires iteration 3.1.3 The business model is an outcome, not a prerequisite 3.1.4 The playing field is determined by the skills 3.2 Lean Startup: formalizing the knowledge creation process 3.2.1 A machine for validating insights 3.2.2 Three steps: Design, Pretotype & Grow 3.2.3 Running Lean: Keeping the Promise 3.2.4 "Nail It then Scale It " 3.3 Design thinking and Minimum Viable Product 3.3.1 Design, observation, anthropology 3.3.2 Design thinking 3.3.3 Minimum Viable Product 3.3.4 User Experience Design 3.4 Growth Hacking 3.4.1 AARRR metrics and data-driven steering 3.4.2 Product Market Fit: finding traction 3.4.3 To create a community of regular users 3.4.4 The CFLL learning loop Summary Part II: Exponential information systemsChapter 4 4.1 Exponential information systems 4.1.1 Which IT for an exponential organization? 4.1.2 Outdoor to indoor steering 4.1.3 An IS open to the continuous flow of technologies 4.1.4 An anti-fragile information system 4.2 Information systems and perpetual change 4.2.1 Multimodal architecture 4.2.2 The system as an executable specification 4.2.3 Reactive systems 4.2.4 Rules, reflexes and automation 4.3 Managing complexity and technical debt 4.3.1 IS complexity and inertia 4.3.2 Minimize the size of the information system 4.3.3 Manage your technical debt 4.4 Resilience and Quality of Service 4.4.1 Site Reliability Engineering 4.4.2 Automation and monitoring 4.4.3 SRE practices Summary Chapter 5 5.1 Taking advantage of "exponential technologies" 5.1.1 The toolbox and opportunities 5.1.2 The deep learning revolution 5.1.3 Hybridization and meta-heuristics 5.1.4 Reinventing processes and products with AI 5.2 Conditions of implementation 5.2.1 The data engineering process 5.2.2 Build a circular learning flow 5.2.3 Data lab culture 5.3 Impact on the information system 5.3.1 Data architecture 5.3.2 Data Infrastructure 5.3.3 An information system designed for experimentation Summary Chapter 6 6.1 Lean & agile governance 6.1.1 Agile Software Development 6.1.2 Adding lean roots to agile practice 6.1.3 The systemic conditions of lean & agile 6.1.4 Governance that favors the lean & agile approach 6.2 Which architecture in an uncertain world? 6.2.1 The role of the architect in an agile team 6.2.2 Architecture and gardening 6.2.3 Continuous learning of systems engineering 6.3 Sustainable information systems 6.3.1 Sustainable development of the IS 6.3.2 Managing complexity in a sustainable way 6.3.3 Controlling the age of systems through flows Summary Part III: Software platforms and service factoriesChapter 7 7.1 Automate the software process 7.1.1 Automate for more quality and efficiency 7.1.2 Continuous integration 7.1.3 Continuous deployment 7.1.4 Automate the tests 7.2 DevOps 7.2.1 A cross-functional team to implement CICD 7.2.2 "Infrastructure as code" 7.2.3 Results of the "early adopters" 7.3 "Lean Software Factory 7.3.1 The metaphor of the lean software factory 7.3.2 The twelve principles of LSF 7.3.3 A lean factory for learning 7.3.4 Software Craftmanship 7.3.5 From customer to code and from code to customer Summary Chapter 8 8.1 The platform approach 8.1.1 Which platforms for the digital domain? 8.1.2 The network effect of platforms 8.1.3 Platform and communities 8.2 The power of platforms 8.2.1 Innovation platforms 8.2.3 Platforms and artificial intelligence 8.3 Building stable platforms to deliver changing services 8.3.1 The "product platform" approach in the digital context 8.3.2 Platforms, architecture and emergence 8.3.3 Platforms and software factories Summary Conclusion 1. The necessary success of digital transformation 2. The main thing to remember 3. The necessary change inour companies' culture