Machine Learning

Machine Learning : A Rallying Point For Tomorrow’s Technology

machine learning

Bedrock of future technology

In the world that currently battles the detrimental tendencies of data and information of people being exposed, used for undue manipulations and political exploitation’s, forgery, cyber-attacks and frauds, it is rather a thing of great relief to be aware of one big and massive innovation that will serve as the bedrock of future technology using the data and information accessible on the internet. The technology world has made efforts so well to make things easier by providing very smart devices to help man with almost every tasks but the study and possibilities of what Arthur Samuel talked about in 1959 is what comes afore now with more demands for better intelligence for devices and gadgets unabated.

Arthur Samuel
Photo Credits : https://en.wikipedia.org/wiki/Arthur_Samuel

In 1959, Arthur talked and worked about making machine learn so as to think and act rationally like man. He was of the belief that coding our ways into computers and other devices should be done in a way that will make these machines think and use available statistics to make decisions and not just coding what the machine will do at any given time. For many decades after this, man increased its technological base and promoted by coding in computers and machines what must be done and not making the machine learn and make smart decision like humans based on data and information fetched and analysed.

Innovations that will shape the future of mankind

Moreover, with the present technology making it possible to see machine learning in a feasible and practical way, there are now a lot of possibilities and innovations that will shape the future of mankind. Data will now be used for a beneficial purpose when machines and computers have access to them to make smart decisions. Minicomputers like tablets, phones will become smarter and perform better tasks, and data centers and cloud memory technology will be enhanced to accommodate faster data and information analysis.

There is no better time than now to have computers and machines working after learning from data because the technology of today provides all that is needed to achieve machine learning. It is time to get rid of the old by searching up quotes on ‘SELL SERVERS / WE BUY USED SERVERS / LIQUIDATION & BUY BACK‘, and in with the new. Data and information will become more expensive and this may cause the data security issues to linger for longer. However, the gains of tomorrow’s technology will be massive with machine learning poised to be a rallying point.

Every sector of human life will witness procedural changes. Businesses will run on some smart machines, and the construction industry, health and medicine, education, and agriculture will all have a good taste of what it means to use highly intelligent machines that work on the concept of machine learning. The entertainment industry including sports and tourism will not be left out in the massive wave that will drive the changing world either.

Even the banking and financial sector will perform difficult tasks with the aid of smarter devices and gadgets that use artificial intelligence. For instance, already we are starting to see how marketing data can be used by financial advisors to market their products and services all over the world. Accordingly, you can click now to learn more about how financial advisors can use marketing tools to their advantage.

There are no doubts about it, in highly competitive sectors like finance, embracing the latest developments in technology is fundamental. That is not all though. Loan application and approval, internet banking and ATMs will also rely on machines that have learnt how humans make decisions through machine learning. Over time this technology will change planet earth as we know it and it will only take a few years before these futuristic concepts become our reality.

About the author

manoj pathania

Manoj Pathania is a designer/front-end developer with 8+ years of experience. Other than front-end coding, he loves to write on design trends. He can be reached at manoj07.pathania@gmail.com

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