Description
The ‘2018 Technology Convergence Scenarios’ is a powerful technology foresighting deliverable built on the ‘Top 50 Emerging Technologies: Spawning Growth Opportunities of Strategic Imperative’ research. Both outputs are offerings of the TechVision group, the global emerging technology, innovation, and convergence-focused practice of Frost & Sullivan.
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.
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