The Transformation of AI Through Big Data

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The Scoop: Artificial Intelligence isn’t going anywhere anytime soon. Most likely, it might also be the key for us to unlock the future. We might be getting there sooner than later with the transformation of AI through Big Data.

Artificial Intelligence or AI is becoming more and more rampant nowadays. AI’s presence is more prominent when it comes to businesses such as content marketing, sales, and even Search Engine Optimization or SEO.

It is no secret that AI is dependent on the data that it is given before it can go on its way. However, with the existence of Big Data, that problem may be as good as solved. Not only that, there are also plenty of benefits that Big Data can offer AI to improve it.

Here are some of the ways how Big Data is helping in shaping AI.

Using Real Datasets Rather Than Samples

Data

As mentioned before, AI depends on data to improve their learning further. Therefore, researchers created sample hypothesis-based datasets for AIs to learn from in the past. However, with the help of Big Data, this saves researchers time to develop new samples and use actual datasets from Big Data for machine learning instead. This results in a more accurate and developed AI response to practical scenarios in real life.

Having Great Computing Power

In the recent years, the computing powers of technology are becoming more and more powerful with each day. Thousands upon thousands of datasets can be processed within nanoseconds. This enables the ability to make AIs learn something new such as trends and rules in real-time. AIs will be able to improve their speed of learning something new just as well.

Voice and Image Processing

Voice

Language and images have always been a computer’s weak point. However, today, AIs are capable of communicating with a language that both human and machine can understand. Amazon’s Alexa and Google Home are just a few examples of AI being able to comprehend voice commands through voice data sets from Big data. The same goes with image processes which enable AIs to recognize maps, faces and more.

Enhanced Cost-Effective and Efficient Memory Drives

Storage

With so many data available, it seems that storage devices are needed to keep those essential data for AI use. However, there are many cost-effective and efficient memory drives available everywhere nowadays. DRAM and NANDs can be used for easy storage and retrieval. What’s more, cloud storages are also usable for data storage as well.

AI Takes a Step Forward with Big Data

Big Data is not only crucial for businesses and ventures that include analyzing the data of target audience. It is also useful to empower Artificial Intelligence to improve its performance for the future further.

So what do you think of Big Data assisting the development of AI?

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