Mapping the Behaviour Economy
Research & Visualisation — Cloud Computing
Project Description
Mapping the Behaviour Economy of Cloud Computing across Business, Education, and Personal sectors. These progressive mind-map diagrams — titled Cloud Computing Near Future Improvements — visualise how cloud computing has evolved as the invisible connective tissue linking how people live, how organisations operate, and how society learns.
Exploration
This map demonstrates the emerging context and scoping while mapping the changes in the economic and societal context over the past 10 years (2009–2019). The purpose of this map is to train our ability to recognise emergent data points (Cloud Computing) and reflect them in a visual map that discloses the full data set of the behaviour economy.
The Innovation Object for this mapping exercise is Data as Material (Cloud Computing) as well as the Behaviour Economy — the roles of cloud computing in different sectors. The map represents the interplay of the data points with each other.
This is an opportunity to experiment with mapping as a model of thinking and visualising the whole ecosystem — the immediate as well as the macro ecology of the behaviour economy. This visualisation allows us to experience at one glance the complexity of product systems and subsystems, and the interrelationship between parts of the system.
The Three Core Spheres
Personal sits at the top of the diagram, branching into entertainment (Netflix, Spotify, gaming platforms), smart home devices (Alexa, Google Home, Nest), social connectivity, health monitoring wearables, and language learning tools. It is the most consumer-facing layer of the ecosystem.
Business anchors the lower-left, built on IaaS, PaaS, SaaS and MLCaaS layers. It expands into cloud infrastructure (AWS, Azure, Google Cloud), collaboration platforms, data analytics, autonomous systems, healthcare platforms, and AI/ML integration.
Education occupies the lower-right, covering online learning platforms, programming environments, STEM learning, neuroscience and DNA studies, and tools such as Moodle, Scratch, and computer science resources.
How the Spheres Interact
The diagrams show the three spheres are not isolated — they overlap through cloud computing as a common backbone. As the maps progress from diagram 01 to 07, new connection lines and colour highlights are drawn between the spheres, visualising how they begin to merge.
Personal ↔ Education: Language learning apps (Duolingo, Babbel, Busuu, Google Translate) and online platforms (Khan Academy, Coursera, EDX) serve both individual consumers and learners. The "AI Integrated Devices — Learning Language and Translation Services on the Go" callout in diagrams 6–7 makes this link explicit.
Personal ↔ Business: Subscription platforms, autonomous vehicles (Uber Autonomous), wearable computing, and streaming services blur the line between consumer lifestyle and commercial service delivery. The "ML and AI Services for Home Entertainment Subscription Devices" callout highlights this crossover.
Business ↔ Education: IBM Watson, machine learning infrastructure, data science tools, and the "Data Scientist Education — Importance on AI and ML" callout show that businesses need educated talent pipelines, while educational institutions increasingly rely on enterprise cloud infrastructure.
Business Opportunities from Sphere Combinations
The richest commercial opportunities sit precisely at the intersections of the three spheres. The following opportunities emerge from combining two or all three of them.
Maps & Visualisations