19 Digital Lab Strategy: Enterprise Approach 19.1 Motivation 19.2 Designing a Flexible and Adaptable Architecture 19.3 There is Only One Rule: No Rules 19.4 The Lab Digitalization Program Compass 19.5 Conclusion References
9 Part V: Continuous Improvement 20 Next Steps – Continuity After Going Digital 20.1 Are You Ready to Upgrade Further? 20.2 Understanding the Big Picture 20.3 What to Integrate First? 20.4 Budgeting 20.5 Continuous Improvement as a Value References
10 Part VI: Vision of the Future and Changing the Way We Do Science 21 Artificial Intelligence (AI) Transforming Laboratories 21.1 Introduction to AI 21.2 Artificial Intelligence in Laboratories 21.3 Process Monitoring 21.4 Discussion – Human in the Loop References 22 Academic's Perspective on the Vision About the Technology Trends in the Next 5–10 Years 22.1 Hybrid Solutions 22.2 Voice Technologies 22.3 Smart Assistants 22.4 Internet of Things 22.5 Robot Scientists 22.6 Making Science Smart – Incorporating Semantics and AI into Scientific Software 22.7 Conclusions References 23 Looking to the Future: Academic Freedom Versus Innovation in Academic Research Institutions 23.1 Introduction 23.2 Corporate Culture Versus Academic Freedom 23.3 Spoiled for Choice, but Still Waiting for the Perfect Solution 23.4 Building a Single, Shared Infrastructure for Research Data Management 23.5 A Journey of a Thousand Miles Begins with a Single Step Reference 24 Future of Scientific Findings: Communication and Collaboration in the Years to Come 24.1 Preprints: Reversing the Increased Time to Publish 24.2 Virtual Communities 24.3 Evolving Publishing Models 24.4 Funders Are Starting to Play a Role in Facilitating and Encouraging Rapid Sharing and Collaboration 24.5 Conclusion References 25 Entrepreneur's Perspective on Laboratories in 10 Years 25.1 Data Recording 25.2 Recognition of Voice and Writing 25.3 Data Recording in the Future 25.4 Experimental Processes 25.5 Research Project Management 25.6 Experimental Planning 25.7 Virtual Reality 25.8 Smart Furniture 25.9 Experiment Execution 25.10 Laboratory Automation Trends 25.11 Cloud Laboratories 25.12 Data Analysis Trends 25.13 Artificial Intelligence 25.14 Data Visualizations and Interpretation 25.15 Databases 25.16 Conclusion References
11 Index
List of Tables
1 Chapter 19Table 19.1 Example of a lab solutions portfolio.
List of Illustrations
1 Chapter 1Figure 1.1 Complex, multivariate concept of lab transformation.Figure 1.2 Virtual and real design‐make‐test‐analyze (DMTA) concept.Figure 1.3 Hypothesis‐experiment‐analyze‐share (HEAS) cycle.Figure 1.4 Request‐experiment‐analyze‐feedback