We are living in a world of services run by an inducted consumption. The technological advances that receive most media attention are those that are aimed at consumers leisure. Big Data and the Internet of Things (IoT) get more attention when justifying their value based on financial or marketing criteria such as user experience or increase sales than when used to predict situations that have not happened yet.
Gary Atkinson, Director of Emerging Technologies at ARM, during The Connected Conference, the first international conference dedicated to the Internet of Things, discussed how IoT can help out the big challenges humanity faces.
Despite being too well known, it is important to remember again the main challenges that the planet is heading towards, and that IoT and Big Data can contribute to solve:
- Food is running out of room.
- Water is our rarest commodity.
- Energy needs to be cheaper to be efficient.
- Healthcare is a growing problem entailed by an ageing population.
- Transport, everyone will be able to afford cars, but won’t be able to afford to park of fuel.
There are many other applications where IoT and Big Data technologies are very necessary but unfortunately some time it costs more to justify its implantation. The benefits are so obvious as needed but require a commitment and willingness of companies and governments think more to avoid risks of accidents or disasters that act as unfortunately occurred.
After the Fukushima nuclear disaster, some hackers designed customized Geiger counters that automatically updated radioactivity levels on an online map and people could see real-time radiation levels. A similar example emerged in earthquake-prone Chile, where a student designed a seismometer to tweet its readings. It quickly amassed more than 300,000 followers, who were grateful for the early alerts.
In a recent Fujitsu event, the company explain how the company is building a Predictive Alarm system using IoT and Big Data to predict off shore accidents, tsunamis and other natural disasters using marine sensor and data analytics.
Other initiative is carried out in Canada. The project Smart Oceans BC will use sensors and data analytics to enhance environmental stewardship and public and marine safety. If will monitor vessel traffic, waves, currents and water quality in major shipping arteries and will include a system to predict the impact of off-shore earthquakes, tsunamis, storms surge, and underwater landslides.
We have to transform Organizations and Governments from reactive to preventive. With the aid of asset intelligence and predictive maintenance analytics solutions, and a more predictive and proactive service model, organizations and Governments will not only be able to reduce their service cost, but deliver additional value to customers and citizens.
When I launched OIES Consulting with the mission “To become one of the world’s leading independent consulting companies, delivering top class M2M/Big Data services supporting innovations that improve the way people works and lives”, I started my search of companies like Flutura with a vision to transform operational outcomes by monetizing machine data.
For instance, in industries like Oil & Gas, it’s a massive exercise in collaboration, team work, project management and oversight to ensure safe and smooth operations. Given that work is complicated and executed in highly hazardous conditions, there is a need to have better systems of risk assessment and safety management. And although comprehensive policies, procedures, and regulations exist to ensure things remain safe, the industry continues to experience fatalities, serious injuries, and other forms of damage to people, property, environment and reputation. There is significant headroom to adopt and benefit from Machine to Machine and Advanced Analytics of raw data from critical systems which affect safety than just safety statistics.
The benefits of implement Asset Management solutions that use cutting edge Big Data, M2M and Predictive analytics technologies are enormous to determine optimal asset availability and provide detailed predictions that avoid human and material losses.
Solving the big challenges that humanity faces needs the IoT, Big Data and Predictive Analytics.
For the first time in our history we will have the possibility of connect billions of sensors placed anywhere (in the atmosphere, in the middle of the oceans, in the cities, in the vehicles,..), to collect and analyze data in real time and provide more precise and accurate information that will allow predict natural disasters resulting in the saving of human lives.
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