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Day: March 21, 2019

Machine Learning Tech Can Enhance Wildfire Modelling

Posted on by Imarticus Learning

Firefighting is expensive and machine learning tools are helping in analyses of forest fires to predict and prevent future disasters, here is everything you need to know on Machine Learning. 
Every year destructive wildfire destroys many forests across the globe. With climate change and global warming, there is a growing concern amongst scientists and world leaders regarding how to combat natural calamities. In the U.S. alone millions of dollars are poured into disaster management and rehabilitation.
There is significant research being conducted in the space of wildfire disaster management and one of the biggest investments in technology is towards artificial intelligence and machine learning. Risk modelers such as Egecat, RMS, AIR is not developing fully fledged versions of the probable places which have a high vulnerability to wildfire and what factors influence the activity. Several factors such as climate change, weather conditions, and region create a conducive environment for a forest fire to break out.
These can be assessed by artificial intelligence tools. Machines are inherently well-versed when it comes to picking up information quickly and this is known as machine learning. It can analyze a richer dataset than traditional forecasting systems, thereby helping researchers make informed decisions quickly. Once a high-risk scenario is detected, drones can be commissioned to ensuing fires.  This leads to effective utilization of resources such as firefighters, water and medication thereby helping the government protect their citizens.
Due to this rapid growth in ability, machine learning can help in urban planning and revolutionize disaster management and resource planning.
Here are the top ways a machine learning course is helping governments and organizations combat wildfire.

Data Science Course

Aiding Rescue 
One of the most important things when it comes to any natural disaster is rescue and rehabilitation. Time is of the essence during this crucial time. Finding survivors by using artificial intelligence tools which skim through social media data is a key development. Another component in machine learning is the ability to process historical data and deliver better disaster response management abilities i.e. using the limited resources in the best way possible.
Predictability of Wildfires
Machines can analyze vast amounts of historical and real-time data to get an understanding of the likely places where wildfires will hit. There are also able to determine the factors that influence the magnitude of the fire. These possible predictions can help researchers prepare ahead of time and help mitigate the damage.
Insurance Risk Assessment
There is a massive potential for machine learning to grow in the insurance industry when it comes to assessment and allocation. Real-time data processed by machines can be used in complement with prediction tools to help understand the risks and allocate resources better, thereby cutting down on the losses. Insurers can align their interest in disaster resilience, safety and urban development in partnership with the government due to machine learning.
Conclusion
When forest fires are detected early using machine learning, it can help firefighters deal with blazes, help in recovery and prevention.

All You Need to Know About Fintech Technology!

Posted on by Imarticus Learning

A new generation has arisen with a bedazzling spark in the finance industry. The Fintech courses (financial technology) is the hottest trend in the finance sector. It refers to a financial sector centred with companies that use technology to make the financial system more productive.
What makes Fintech the winner?
Fintech can change the way of our banking systems by replacing hand-in-hand cash with digital currencies. Users can become rich in this transaction process. It mainly focuses on Bitcoin, Cryptocurrency, Ethereum, regtech and Dash.
We walk you through some of the advantages of using Fintech:

  1. Expanding enormously: The Fintech industry is proliferating that keeping up with it is like a struggle to the regulators. Larger institutions and governing bodies are putting their efforts and interests in this industry as it is more secure and trustworthy than the traditional banking system.
  2. More financial firms with few start-ups: The Fintech market has caught public attention. Starting with smaller finance organisations; now the number has increased with a majority of big organisations. More prominent firms are showing their interest, especially in Bitcoin facilities, as they are more money-making, profitable and have a long-run future.
  3. Change in the way of payment: The primary motive is to implant technology surgically into people’s daily lives. This has already started in a few countries where people are paying for their regular coffee by only showing their cards up to the reader. This way you won’t have to carry a wallet equipped with the massive amount and a fear of getting robbed in your mind. Just a card would replace everything!
  4. Efficiency– Fintech systems connect small systems making data sharing swift and seamless. This results in a reduction in time, and it also enhances productivity. Courtesy of Fintech systems, people can do a lot more things without requiring any assistance from traditional financial institutions.

Why is Everyone Talking about Fintech?
People are talking about Fintech because it is providing frictionless access to the tasks and has a bright future. Through its superior features, it is modernising the traditional practice of banking.
Already, the impact of Bitcoin, Litecoin, Dogecoin are visible to us. Within a year or more, these non-fiat currencies will take the lead in all the transactions.
The world of trading is running smoothly without traders. The process is known as algorithmic trading with electronic exchanges. In the coming years, humans will become the factory of producing algorithmic codes that will run the automated facilities of our daily lives.

  1. With Fintech, you can digitalise your wallet by not carrying cash. Instead, you can use your debit cards, credit cards, and gift cards. This is easier for people to keep their money safe even in crowds. There is nothing to worry if the card goes missing as the password is only with you or with your trusted ones.
  2. A better way of the transaction is via your mobile phone. The mobile payment applications are increasing, and number and users are happier with them coming to the market.
  3. It is all about smart data-sharing. If you want to split the bill, you can do it with one text message.

Conclusion
There is always a never-ending debate that questions machine intelligence over human knowledge. In this case, the future is in AI.
Like in last few years, Fintech has flourished wonderfully that dragged the majority of business into it. It focuses on technology, which has never failed to show its magic. In the coming years, we might see that transactions are possible only with a blink or just with a wave of a hand.
The trends we have talked about will be a lot of fun to watch in the coming years too. One thing is for sure, getting engaged to fintech industry won’t disappoint you.