This deliverable analyzes the Top 50 emerging technologies, and the strength of interconnects between these technologies to potentially combine with each other. The impact of these probable scenarios is underlined by their capability to address unmet application/sector/market needs, create new products/services/solutions due to the uniqueness of their combined potential, and drive unlikely players from diverse industries to work with each other.
The scenarios covered are:
Animal Tracker
Decentralized Emissions Trading
Energy as a Service
Eye for an Eye
Flu Inspector
i-mobility
Make Agriculture Great Again
Water-on-Demand
Population growth leads to the need to increase food production. According to United Nations, by 2050 it will be necessary to produce 70% more food to ensure nutrition security. Digital and technological advancements will let farms and agricultural operations be more profitable, efficient, and eco-friendly. The Make Agriculture Great Again convergence scenario provides a snapshot of the how precise agriculture powered by digital and sophisticated technologies; coupled with bioscience and nanotechnology would improve agricultural practices. It focuses on the possibility to increase the crop yield using less energy, fertilizers, and pesticides while lowering levels of greenhouse gases and carbon footprint.
Flu pandemics are a cause for global clinical concern as they can cause high mortality. The 1918 Spanish flu pandemic caused the death of over 50 million people across the globe. Rapid technological advances have definitely helped curb the recurrence of such a huge pandemic, but flu mortality is still remains a cause for global concern. Flu still continues to claim 646,000 lives every year globally. Accurate and sensitive detection of diverse flu strains will be one of the key factors to enable flu control. While conventional biosensing and deep learning technologies in any given environment. Thus, the Flu Inspector' will be capable of accurate and sensitive detection of diverse flu-causing microorganisms. This can be subsequently used to avert any epidemic or pandemic through precise microbial detection enabled by deep learning platforms. It will also facilitate timely pathogen control measures in infected areas. This convergence platform will be immensely useful in hospital settings, tropical environments and all other areas that are likely to be flu hotspots. This Flu Inspector' could also be leveraged as a global tracker for emerging flu strains that can provide a worldwide alert to ensure better preparedness for flu control.
Eye for an Eye envisions a convergence scenario that will empower the security forces of critical assets properties to effectively handle intrusions to a specific perimeter. The proposed scenario Eye for an Eye not only encompasses protection of critical assets from human intrusion, but also from approaching vehicles and drone attacks.
The Water on Demand convergence scenario is suitable for deployment in locations where water availability varies by season. A combination of sensor fusion and hybrid cloud storage systems is used to monitor the availability of water throughout the landscape, and relay information to mobile desalination plants for processing water accordingly. Information relayed through hybrid cloud storage systems allows collaborative robots to deliver water to the demand locations.
Key Topics Covered:
1. Executive Summary
Innovation Engine Kaleidoscope
Top 50 Technologies - Selection Methodology
GLOBAL TOP 50 TECHNOLOGIES
Top 10 Convergence Scenarios - Selection Methodology
Step 1: Identification of Convergence Scenarios
Step 2: Evaluation of Ideas
Step 3. Finalization of Ideas
Contents
2. Animal Tracker
Advanced Sensing and Computing Transform Animal Tracking
Sensor Fusion Capabilities Could Help Monetize Animal View
Virtual Fencing and Livestock Health Monitoring Grab Investor Interest
Connectivity and Artificial Intelligence Disrupting Business Models
A Scenario Driven by Critical Needs in Ecology Conservation
Livestock Farmers are Early Adopters of Advanced Tracking Services
3. Decentralized Emissions Trading
Blockchain Technology Likely to Dominate the Future of Energy Trade
The Convergence Scenario will Streamline and Simplify the Business Process by Providing Traceability and Transparency in Transactions
Technology Collaboration and Partnerships are Key Strategic Imperatives for Industries in Limiting the Carbon Footprint in the Near Future
Innovative Startups are Fostering Decentralized Emissions Trading Model
Matured Blockchain Technology Integrated with Energy Management Systems Will Have a Huge Impact
Distributed Ledgers to Facilitate Emissions Trading and Carbon Pricing
4. Energy as a Service
EaaS Enables Openness, Interaction, Equality, Sharing, and Personalization of Energy Production and Consumption
The Convergence Scenario Will Return Ownership of Energy to Customers and Ensure Continuous Supply of Power
This Vision of Energy Ownership Is Being Supported by Several Governments
NA and Europe Are Home to Numerous EaaS Companies
Impact of EaaS will be High With Large Adoption Within the Next Couple of Years
EaaS is Crucially Needed for Personalized Energy Ownership, but it is Plagued with Integration Issues
5. Eye for an Eye
EYE FOR AN EYE: Maldrone + Hyperimaging Analytics + Energy Harvesting + Machine Learning + 5G
Maldrone for Perimeter Surveillance
Key Driving Factors Encouraging Development of Maldrone Systems
Key Industry Initiatives Supporting the Development of Maldrone Systems
Cybersecurity-as-a-service, Crime Prediction, Critical Infrastructure Maintenance, and Traffic Analysis Business Models Drive Adoption of the Scenario
Key Factors Determining the Commercialization Potential of the Scenario
Key Strategic Questions from CEO's Perspective
6. Flu Inspector
Enabling Smart Flu Detection Through Technology Convergence
China Leads the Patent Landscape for Flu Detection Technologies
Enabling Flu Inspector to Improve Airborne Flu Detection
Overview of the Existing Flu Detection Landscape
Summary of Key Factors Driving Smart Flu Detection
Strategies Empowering the Future of Influenza Diagnostics
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