AI and Big Data: How to use AI to make sense of large sets of data

AI and Big Data

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Big Data and Artificial Intelligence (AI) are the two technologies that will offer a predictive future for humankind. They are predicted to be the driving innovations behind almost every tech sector on the planet. In fact, it is the pack of a trio, including Big Data, Artificial Intelligence, and Machine Learning (ML), that makes the magic. 

Even though Big Data and AI are two standalone technologies, they cannot perform alone. The practical applications of both AI and Big Data are visible across different business sectors and industries. 

Let us analyze today how the deep-rooted relationship between these two trending buzzwords in the technology sector complements each other to get good results. 

How To Use AI To Make Sense Of Large Data Sets In Different Industries? 

1. E-Commerce Sector

Big Data and AI together have made tremendous disruption in the eCommerce sector. We have been experiencing it in the form of intelligent chatbots, push notifications, tailored user experiences, and personalized suggestions. 

AI with Big Data is enormously helping shop owners to drive business with futuristic perspectives by analyzing the user’s shopping behaviors and purchase histories. Moreover, this also allows online retailers to provide a customized shopping experience to their users and improve the services efficiently. 

2. Marketing Industry

Once, enterprises were splashing plenty of money exclusively on marketing products and branding. But, the narrative has changed since the advent of Big Data, and AI emerged in the marketing-tech industry. 

Today, the digital marketing sector is heading with a definite business proposition instead of random choices. Industry experts drive marketing campaigns using the right content for the right audience. Plus, many businesses are relying on AI content curation models to enhance their content requirements. 

Read more about AI in the workforce.

3. Automobile Industry

Since the inception of AI, the work for autonomous vehicles has started behind the scenes. But it’s not yet grown to set its feet with full confidence. A lot of trial runs and experiments are going on all over the world. 

The features used to run an autonomous vehicle, such as accident detection features, smart cameras, sensors, radar systems, lane controls, and GPS systems, are driven by AI technology. It uses deep learning models to train autonomous vehicles computers to make the driving decision.

4. Smart Gadgets

The capability of AI systems to recognize voices is helping to make the daily life of people far easier. Today, all smartphones are encouraging their users to experience the simplicity of voice search in order to get things done easily. 

Tech giants like Microsoft, Amazon, and Google are designing smart speakers to communicate with users. They also enable their users to control their houses at their own command using smart devices. Machines are training computers to understand the time and voice of users using data models to deliver superior services without delay. All of these services are made possible only by the effective combination of Big Data and AI. 

5. Manufacturing Industries

The manufacturing industry is one of the largest sectors that leverage Big Data and AI technologies. AI simplified complex and mundane industry jobs and made them more risk-free and productive. 

By giving the robots the ability to make appropriate decisions and making them more intelligent, AI overturned the way manufacturing industries had worked way back. AI even contributed to the interactive production process by aligning with the R&D (research and development) team in an industry setting.

It improves resource utilization, reduces accident rates, and increases the production capacities of industries on a large scale. 

6. HealthCare 

AI-enabled healthcare sector to provide fast and cost-effective treatment practices to the common man. Innovations such as virtual diagnosis, robotic surgeries, and telemedicine enhanced the sector to greater results. 

There are many more disruptions that Big Data and AI have offered for the healthcare sector. Patients can reduce their inpatient visits and consult the physician from home. Doctors can diagnose patients quickly and save lives with intelligent devices in the treatment process. 

Conclusion

The relationship between Big Data and AI is inseparable. They complement each other to bring out the best intelligent results for good causes. And the scope of Big Data and AI is not limited to the sectors listed here because the scope of this partnership is very large and is capable enough to disrupt the entire working nature of the world and human efforts.  

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