Importance of Data in the future of Machine learning
- Artificial Intelligence

Importance of Data in the future of Machine Learning

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The World is growing at a rapid rate every now and then, and so the overall size of data across the world, which technically refers to “Big Data”. Along with big data, there is yet another technical revolution, which took the world by storm nowadays “Artificial Intelligence” and “Machine Learning”.

Simply speaking, machine learning and AI are the technologies empowering connected computers and machines to evolve, learn, and improve on their own learning by updating data bank consistently and reiterating with human intervention and recursive experiments.

Big data has been in the radar of tech giants, data scientists and corporations across the world to make a big change in machine learning and AI arena.  AI is all set to be dominated with a huge impact on the companies.

Here’s how it can realize in practical terms.

To Enhance AI

Machine learning is indeed an advanced form of in interlinked peripherals and machines by allowing them to access database and learn new things off it automatically in programmed way. Size of big data is growing constantly and new grounds are getting broken to analyze their implications. It has been contextually relevant and meaningful for machines to have better insight to their functions through big data analysis.


To Expand Machine Learning and AI Team

When it comes to AI, one of the prominent concerns for people is that it will reduce the needs of humans in all job sectors as AI-based computers and robots will be able to do most of the work in future.

But when considering the role of big data, truth is far from it. Human intelligence will always be required for emotional and sentimental analysis as machines don’t have decision making and logical thinking skills on the basis of sentiments.

For instance, a data scientist who is engaged in analyzing data of a pharmaceutical company which targets Asian market can sense the prescriptions before launch in those markets by considering the local reservations inhibitions. On the other side, computer-based data analysis cannot provide such sensitive results.

So capable and talented human data scientists have a lot of scope to evolve and grow in the market with the increasing use of machine learning, AI and big data and they will always be needed in huge market by all means as these technologies will be used widely.


To Benefit Machine Intelligence and AI Solution Providers

For artificial intelligence and machine learning solutions, overall market size is highly limited across the world these days. With the higher use of big data analysis in machine learning and artificial intelligence, machines and devices will be smarter and perform better.

It will make room for consistent enhancement, improvement and advancement in artificial intelligence solutions to further boost the adoption of market in those solutions.  

Even the chips, sensors, network nodes, and software work on IoT networks will be powered by AI via cloud or at infrastructure or chip level. It will be impossible for us to run such a vast network without AI solution or a digital brain which is capable enough to manage the global IoT network of future.

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Importance of Data in the future of Machine Learning - Artificial Intelligence Learning
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Importance of Data in the future of Machine Learning - Artificial Intelligence Learning
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The World is growing at a rapid rate every now and then, and so the overall size of data across the world, which technically refers to “Big Data”.
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Digital Marketing Wiki
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Pankaj Singh

About Pankaj Singh

Digital Marketing Consultant, Author and Web Developer.Pankaj Singh has 5+ years of Experience in SEO, Digital Marketing and Web Development. You Can Read More of his Articles www.digitalmarketing-wiki.com
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