If there are life partners, they will certainly be big data (BD) and artificial intelligence (AI). As one of these technologies collects large volumes of data, AI processes, analyses it, learns from data and provides predictive responses.

Currently, numerous software programs make use of artificial intelligence to provide a better service to users and to assist in decision-making.

In this article about the relationship between big data and artificial intelligence we will review how they relate, the applications of AI in big data and the benefits of a strategy with both technologies.

 

Table of contents:

The partnership between big data and artificial intelligence

• Big data and AI – A symbiotic relationship
• Artificial Intelligence applications in big data
• How AI uses big data to make predictions

The benefits of a big data and AI strategy

The future of big data and artificial intelligence

Conclusão

 

The partnership between big data and artificial intelligence

Big data refers to the large amount of data generated daily in the digital world. Data that needs to be processed, treated and managed by other technologies such as Artificial Intelligence. Both of these technologies have been crucial for digital transformation in organizations, both public and private.

The relationship between big data and artificial intelligence is, in essence, quite simple. If one technology collects data and groups it, the other manages it to provide answers to users.

It is artificial intelligence that clarifies the data collected and identifies patterns and the correlation between them to later process them and predict trends and results. To achieve this, AI systems use language models – or deep learning algorithms – and natural language processing that, in turn, generate fluid, coherent text with true information.

The partnership between big data and artificial intelligence also includes trend forecasting. To this end, AI relies on machine learning algorithms.

 

Big data and AI – A symbiotic relationship

The relationship between big data and AI is highly powerful, as the technologies are interdependent and each technology is beneficial to the other. While artificial intelligence needs a large volume of data for its learning and evolution, big data analysis is powered by AI.

In this aspect, it is possible to say that AI depends on big data to be functional while at the same time giving it value. However, it needs other technologies, such as machine learning, to increase its spheres of knowledge and adapt it over time. With greater volumes of data, artificial intelligence can identify patterns faster and more accurately, make predictions, and make decisions regarding the response it will provide to the user.

On the other hand, big data analytics is generally powered by AI. This analysis, which extracts knowledge from large volumes of data, relies on artificial intelligence algorithms so that the data reveals patterns and even anomalies in the data collected.

 

Artificial intelligence applications in big data:

With artificial intelligence at the service of big data, it is easier and faster:

• Risk management, both for financial organisations and companies in other sectors, and, consequently, assists in decision-making.
• Segment audiences, by identifying common points and creating groups of people with similar characteristics.
• Diagnose health conditions by analysing medical images and patient data for a personalised healthcare approach.
• Detect fraud, through the analysis of transactional data and identification of patterns and anomalies that point to dubious activity.

 

How AI uses big data to make predictions

One of the great benefits of AI is the fact that it can make predictions based on patterns identified in the data. To be able to do so, however, artificial intelligence must be trained to identify similarities and present factual and accurate information.

This parameter is where machine learning algorithms and statistical models come in to analyse the data and identify correlations between them.

Big data, in turn, is the fuel that powers both machine learning and deep learning algorithms and AI models.

 

The benefits of a big data and AI strategy

A business strategy in which big data and artificial intelligence work hand in hand brings numerous benefits to businesses:

• Increased efficiency – AI and big data can automate tasks, so that they are completed faster, with fewer errors and that employees can dedicate themselves to strategic work.
• Opportunity identification – Data analysis can lead to identifying gaps in the market and driving the development of a new product/service that fills them.
• Decision making – These two technologies can present unequivocal results in order to facilitate management decisions regarding business.
• Improved user experience – Both big data and AI can be used to custom users’ experiences depending on their preferences.
• Gaining competitive advantage – As they are technologies that enhance efficiency, stimulate the development of new products and take care of the user experience, big data and artificial intelligence allow companies to gain an advantage over other businesses in the same sector.

 

The future of big data and artificial intelligence

Big data and artificial intelligence are revolutionising several economic and industrial sectors, with more and more companies investing in a technological strategy that cuts across all departments. With demand increasing, these technologies are constantly evolving to cover more businesses and bring them more benefits.

Thus, big data and AI will continue to improve the performance of sectors such as:

• Finance – AI can be used to manage risks, direct investments, and detect financial fraud.
• Health – For analysing health data for more accurate diagnoses, prescribing more efficient treatments, and predicting possible health conditions.
• Industry – These technologies will continue to be important in automating tasks, optimising production processes and improving quality control.
• Retail – AI and big data will continue to play a key role in managing supply chains and changing prices whenever necessary.
• Transportation – Will continue to have an impact on optimising traffic flow and routes, as well as on the development of 100% autonomous cars.

In addition to the countless benefits in all sectors, it is expected that big data and artificial intelligence trends will include:

• More sophisticated AI algorithms – To be the most efficient and to be applied in a greater number of circumstances.
• Real-time machine learning – The use of this technology will be even more common in real-time data analysis.
• Edge computing – A new form of computing that involves storing data closer to where it is generated.
• Fusion between big data and artificial intelligence – These technologies will be inseparable to deliver answers faster and more accurately.

 

Conclusion

As emerging technologies, big data and artificial intelligence have been increasingly used both by companies and individual citizens. However, they do not perform as efficiently if they operate separately. While big data needs AI to see its data analysed and managed, artificial intelligence needs large volumes of data to identify patterns and trends and, later, come up with answers and predictions.

This symbiotic relationship between big data and AI has been essential for businesses to manage risk and segment their target audience, as well as for the modernization of sectors such as healthcare and industry.