Leveraging Big Data: Important Data AI Researcher Should Track
November 26, 2020
Big Data appeared before everyone even realized its existence, and so far, it is the core element of modern technologies. This article will explain the intersection where big data meets AI as well as the key elements of their inseparable connection and the prospects for the further development of AI by using big data.
How AI Is Used in Big Data
There is a well-known phrase that big data is the fuel that powers AI, but what is the basis of this saying? To explain it briefly, AI builds a store of knowledge that will be used for further predictions about consumers’ personal preferences, for instance, what you might be interested in or what things you are going to buy. The same process is used in AI Logo Maker, as the smart system generates a unique label based on the target audience’s fancies. Accumulating this information, AI can easily increase the possibility of offering the exact thing you were keeping in mind, thus, make the everyday routine less complicated.
For this purpose, the data that is gradually collected must be stored somewhere, and that’s the exact thing big data deals with. Forrester Research analyst Brandon Purcell explains that “Data is the lifeblood of AI. An AI system needs to learn from data in order to be able to fulfill its function.”
As an example, natural language processing won’t be possible without billions of samples of human speech having been recorded, structured, and analyzed so AI engines can more easily complete any of the tasks given.
To meet the requirements of AI, nowadays databases are becoming increasingly versatile and powerful. That is mainly because of the principle: the more complicated the process, the bigger the amount of data that is to be processed and restored. To speed up the processing and optimize resource usage, there are lots of efforts put into the improvements of databases. For instance, the result of the machine learning optimization due to big data upgrading may be the following: instead of spending something like 3 months to train a model, it might be sped up to 30 days or even 30 minutes.
And how will that work in ordinary life? Well, imagine yourself being a business owner who wants to track his store’s selling rates every 5 minutes. The AI can be used there to collect the data and provide a forecast for the shop to replenish inventory and process optimization. Simple, isn’t it?
Conclusion
As you see, big data is the inseparable element of AI development. Thanks to the greatest improvements in the database, it is much easier to restore any information and use it when needed. These optimizations are necessary for a variety of AI applications, which have huge prospects of usage in the future.
However, not only high technologies require big data development. For example, it may save the analysis time in the process of calculating the necessary data such as business calculations, preferences predictions based on personal tastes, simple machine learning algorithms, etc. We believe that the necessity of using big data in AI technologies will be even bigger.
This website uses cookies to provide you with the best user experience possible.
Cookies are small text files that are cached when you visit a website to make the user experience more efficient.
We are allowed to store cookies on your device if they are absolutely necessary for the operation of the site. For all other cookies we need your consent.
You can at any time change or withdraw your consent from the Cookie Declaration on our website. Find the link to your settings in our footer.
Find out more in our privacy policy about our use of cookies and how we process personal data.
Strictly Necessary Cookies
Necessary cookies help make a website usable by enabling basic functions like page navigation and access to secure areas of the website. The website cannot properly operate without these cookies.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
Additional Cookies
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as additional cookies.
Please enable Strictly Necessary Cookies first so that we can save your preferences!