CAN DATA ANALYTICS AND AI TECHNOLOGIES SAVE THE WORLD FROM ITS GROWING PROBLEMS?

AI

 Data plays an important role in the modern world's structure. Every day, Internet users produce vast amounts of data by posting and sharing content and doing searches. However, this represents just a small portion of the global data environment, which is expanding owing to the availability of numerous passive data gathering methods utilising low-cost information-sensing devices.

Modern processing and analysis technologies enable meaningful information to be extracted from massive amounts of created and stored data. But why do we need it all?

Information is critical to enhancing societal life, establishing sustainable production, and conserving the environment. People from a variety of businesses are interested in data analytics because it allows them to make better decisions.

Furthermore, the data enables the prediction of certain occurrences and the minimization of harm. EOS Data Analytics, for example, provides data-driven solutions for agriculture and forestry that enable extended monitoring, control, and enhanced management. We shall discuss how data analytics and artificial intelligence technologies are assisting mankind in overcoming global difficulties in this post.

EPIDEMICS CONTROL

Data analytics and artificial intelligence are used to anticipate and limit illness transmission. The collected historical data is sent to AI, which recognises patterns and trends and predicts disease spread. Currently, this is largely concerned with the Covid-19 epidemic.

Data application allows for the spread to be minimised by implementing proper preventive steps. Tracking people's movements is now easier than ever, which aids in analysing and forecasting the virus's route. As a result, it is feasible to regulate and prevent the spread of illness in a given location. Another important role of artificial intelligence is to forecast viral changes and aid in the development of vaccinations.

ENERGY CONSUMPTION THAT IS EFFECTIVE

The energy sector is facing a major challenge. Energy must be provided by demand, despite the fact that humanity uses a vast amount. Energy usage increased by 3% each year between 2000 and 2018. Artificial intelligence provides cost-effective energy consumption and sustainable energy generation options. This technology also offers a lot of promise for making the sector more sustainable and efficient.

PREVENTION OF THE GLOBAL FOOD CRISIS

Every year, the world's population grows by 1.1%. As a result, demand for food goods outstripped supply. The primary causes of the global food problem are poverty and natural catastrophes. To address this dilemma, agriculture and other industries must take a long-term approach, and AI technology can assist. It allows for the prediction of food shortages and the attainment of food security.

Artificial intelligence analyses data faster and at a cheaper cost than human specialists. Climate change reduces yields, but AI can help here as well, forecasting natural disasters and assisting in their prevention and management.

Furthermore, data analysis utilising artificial intelligence assists farmers in identifying the most susceptible locations and determining the best planting places. Furthermore, this technique significant contribution to the development of more resistant crops.

RESISTING CLIMATE CHANGE

Scientists are currently investigating the potential applications of data analytics to climate change studies. Experts develop models of the Earth based on the data acquired, taking into consideration current elements such as the rate of melting of glaciers and sea level, and then compare them to past climate data.

As a result, scientists can find trends and forecast the harsh climatic consequences that will intensify in the next years. Data analysis also allows for the evaluation of the efficacy of various efforts to hasten or ameliorate the effects of climate change.

TACKLING CLEAN WATER PROBLEMS

More food must be produced to feed the planet's expanding population, and more water must be available for drinking, cooking, bathing, and cleaning dwellings. It is vital to develop new strategies to encourage the more effective use of water because of this.

Analytics and data science may equip service providers with the instruments they need to measure and manage water consumption. Technologies based on data analytics can assist in improving resource management and minimising environmental effect.

The ability to monitor water resources in real-time and assess their quality and safety for use is made possible by advances in data analysis. It is possible to forecast the water's quality and determine how well it will serve different needs in the future by taking into account rainfall, pollution, and other variables. Data science may be used to identify problems with regional and local water supplies. It is essential for stopping numerous epidemics and diseases that spread via the supply networks of the leaders.

FINAL THOUGHTS 

Artificial intelligence and data analytics offer the chance to learn important details about a variety of phenomena and their problems. We may use this data to spot trends, track changes, forecast and lessen the effects of several events relating to the environment, resource use, public health, etc. These are important instruments for ensuring a future that is more sustainable for our planet and the people who live on it.