How Blockchain and AI Can Help During Calamities

Consensus AI
Consensus AI
Published in
3 min readSep 25, 2018

Recently, super typhoon Mangkhut ravaged Asia, holding millions of people at a standstill across Guam, Philippines, Taiwan, Hong Kong, Macau, and mainland China. It was the strongest typhoon to hit the Philippines in five years, and the strongest to hit Hong Kong since 1983. Barely a week afterward, the US suffered from a natural disaster: Hurricane Florence.

Natural disasters are inevitable, and while we cannot stop them altogether, technology is opening up more sophisticated and efficient ways to minimize the damage they cause.

Consensus AI is a powerful ally for governments in several aspects of operations, including predicting the outcome of an impending calamity and speeding up disaster response time, ultimately ensuring fast responses during critical times.

Although intimidating for some, governments can easily make the transition and reap the benefits of blockchain technology and artificial intelligence without having to suffer from technical complexities and arduous requisites.

Real-time data monitoring: predictive, rather than reactive, measures

At Consensus AI, we are delivering a higher level of proactivity. Due to technology, we can be predictive and more accurate in anticipating the impact of a disaster; this would enable better preparation and possible prevention of catastrophic outcomes, arming governments with better mitigation options which means they are better equipped in safeguarding their citizens.

Consensus AI’s platform taps into AI’s capabilities and puts them on the blockchain; this powerful decentralized machine learning system, coupled with verified national digital ID’s make up the Sentient Network. The blockchain and artificial intelligence are both emerging technologies that are disrupting several industries, so we put the two together for good reasons.

1. AI for predicting, simulating, and intelligent decision-making

Artificial intelligence is a valuable tool for predicting the impact of natural disasters and is being tested for predicting natural disasters themselves. It enables simulations of potential outcomes and solutions to each possibility; this would give governments an upper hand in deciding where they could strategically position emergency response teams and resources.

Several different government agencies can coordinate in real-time, making sure resources are distributed more efficiently. Resources can be immediately allocated and delivered to areas that need them the most. In fact, these resources can be distributed, delivered, and stored to areas that will need them based on predictions generated by the AI.

2. Blockchain for real-time data collection and coordination

A blockchain, apart from enabling the AI system to tap into a global network of computing power, can provide a real-time coordination system where we can match emergency supplies and aid for deployment to affected areas that need them the most; this is similar to the way it is used to manage supply chains for manufacturing companies and shipments. Apart from this, all transactions are transparent, verifiable, and traceable.

Social media platforms undoubtedly help in allowing people to post updates and send distress calls as a calamity progresses. But what Consensus AI brings to the table is a dedicated, unpolluted, real-time data collection and monitoring system for both people in affected areas and the aid to be delivered to them.

The benefits of blockchain and AI for government-scale operations are unquestionably immense. That is why several countries have been increasing budgets for development in those areas. Consensus AI will deliver a full-stack, ready-made platform for governments and institutions that tackles the technical challenges on behalf of these agencies so that they don’t have to build from scratch or go through grueling trial and error phases. The platform is an asset for society as a whole, as well as any government bidding to be at the forefront of this new era of higher technologies.

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