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Banking sector needs artificial intelligence

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banking sector needs artificial intelligence

The banking sector needs artificial intelligence and the banking sector is increasingly demanding mixed profiles with knowledge of artificial intelligence. This includes economic data analysts, software engineers, user experience developers, or profiles associated with digital sales. Moreover, the demand for this type of worker is constantly evolving and revolves around a central requirement: the need for these people to absorb business knowledge.

The impact of artificial intelligence on the Banking Sector

In recent years, the use of artificial intelligence-related tools has increased significantly in all economic sectors, thanks to the huge amount of data and the increased ability to process information. Applying these tools to financial services assumes the potential to increase not only sector benefits but also global consumers with better banking services.

Artificial intelligence is nothing more than a set of theories and algorithms that allow computers to perform tasks that normally require the capabilities of human intelligence to be recognized or interpreted. But artificial intelligence can go beyond human intelligence, which improves capabilities.

The most important part nowadays of artificial intelligence is in what is called machine learning, and it is nothing more than machine learning, where the computer can extract the results from the statistical analysis of a series of data points with these conclusions. The automatic operation is improved, which increases the efficiency of the algorithm.

If we look at European Commission data in 2018, private investment in artificial intelligence already exceeds 6,500 million euros in Asia, and 12,000 million dollars in the United States and Canada, while in Europe we are still too late to invest 3,500 million euros.

Artificial intelligence in the banking sector

The winds of technological change are sweeping the huge banking sector, not only as digital banking services in Europe but even in the most remote areas of the world. The banking sector needs artificial intelligence It’s an exciting time for emerging banks and innovative financial institutions, while big banks have no choice but to change the appearance of the new digital avatar.

AI analysis with the development of big data for automated financial advice can generate significant benefits for both industry and consumers, such as enabling greater financial inclusion, improving customer protection and privacy, improving customer experience, cybersecurity, and ensuring good risk management and reducing the huge costs of compliance Regulatory.

Thanks to digital banking initiatives, it is not necessary to leave our homes, either to buy or pay bills. Providing a seamless digital banking experience is now more necessary than ever if financial institutions want to stay in the game.

Meanwhile, artificial intelligence can pose new challenges that must be addressed to take advantage of all these new opportunities. Promoting a broad dialogue on all aspects of the development of artificial intelligence and its impact remains a key priority for the banking sector.

AI is also expected to have widespread credit in the banking sector. About 67% of CEOs expect AI to achieve net gains in jobs within their bank in the next three years. Between 2018 and 2022, financial services companies that invest in artificial intelligence and human-machine cooperation can increase their revenues by 32%.

Meanwhile, it is estimated that due to the adoption of new technologies such as artificial intelligence, the need for human experts will increase to do so and could increase the levels of staffing in organizations by 10% between 2018 and 2022. In addition, 77% of banks plan to use intelligence Artificial automation tasks largely or large in the next three years.

Today we already see in different banking entities how they use automated chat programs and voice bots to interact with clients and resolve requests before human intervention. The technology behind them – natural language processing and generation – will make it harder for customers to know if they’re talking to a human or AI interface.

Where does artificial intelligence go in the banking sector?

According to a report by PricewaterhouseCoopers (PwC), the robotics and artificial intelligence application in this syndicate will evolve in a manner similar to the arrival of ATMs.

It should be noted that in 2020 it is estimated that there will be twenty times more data in the world than we have today, and it is a great opportunity for financial institutions to understand, in real-time, the behaviors and needs of their clients. This is how data analysis will become a major tool for the growth of this sector.

All services will be automated, so far the financial instruments are developed by other companies that do not belong to banks we can say that the banking sector needs artificial intelligence.

Artificial intelligence to control credit risk

Applying state-of-the-art tools based on artificial intelligence technologies – such as machine learning – to project future potential losses in adverse macroeconomic scenarios is a major success as a preventive measure in the entities that implement them. This type of program allows the visualization of different future scenarios at the same time developing models that include a much larger amount of variables than the usual technologies in which entities operate. The result is that with the application of machine learning, the predictive power of traditional statistical models is greatly improved. The economist explains: “The range of improvement in predictive power provided by machine learning ranges from 25% to 50%, which translates into commercial terms that are not insignificant amounts.”

Despite the fact that between 15% and 20% of banks ’investment in artificial intelligence goes to risk management solutions, this field is somewhat more reluctant to introduce technologies like machine learning. The machine learning model uses many variables more than traditional ones and they are able to find mutual relationships that no one can find, and therefore have a high degree of success and a much greater predictive power. This is its great advantage but at the same time the biggest obstacle in its application to risk, since risk models, in this case, are subject to the control of the regulator, especially since the last financial crisis, and it is necessary to overcome the feeling of black funds with an unknown performance. “The AIS group has solved this problem by developing tools that allow us to follow the path that leads these models to a certain result, so it is highly recommended to use them in risk control,” says Aguirre.

According to the AIS Group, although risk management is not the area in which the largest investment in innovation is taking place in machine learning, this does not mean that banks do not invest in these technologies in controlling risk, among other reasons because they are very accurate and have a return. High. “The current trend is geared towards monitoring portfolios and recovering unpaid loans more than assessing credit requests,” says the executive.

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A Few Things to Check Before Hiring an Electrician

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A Few Things to Check Before Hiring an Electrician

Hiring an Electrician

Many homeowners attempt to do home improvement projects themselves, and the results are often disappointing. However, trying to handle electrical work independently can lead to costly errors and injuries. Discover a few things to check before hiring an electrician to get the job done right and stay within the budget.

Proper Training

When looking for an electrician, the first thing to consider is whether they are properly trained. The electricians should attend a vocational school or other recognized institute to learn how to perform the work correctly. Discuss the training process to find the right team for the job.

Review Experience

Comparing electricians includes reviewing their relevant experience performing similar work. Homeowners should discuss the project scope with potential electricians and determine whether they have experience in that area. Also, ask for recommendations and referrals from previous satisfied customers.

Check Reviews

Once homeowners have a list of prospects, check online reviews to narrow down the possibilities based on customer experiences. Often, people discover more about an electrician or other service providers by reading reviews and talking to others. Also, discuss referrals with neighbors, co-workers, friends, and families to determine which services handled the work most efficiently.

Licensed and Insured

Verify your state’s requirement for license and insurance and then ensure the electrician is compliant to protect your most valuable asset. It is often tempting to hire an unlicensed or uninsured electrician to cut costs, but that often adds up to spending more money in the long run. Plus, you could be liable if an accident or injury occurs on your premises, adding even more to the costs.

Verify Credentials and Permits

The first step to verifying an electrician’s expertise is to inquire about licenses and insurance. The next step is to verify these credentials and permits to ensure they are valid and current. A quality electrician will immediately provide documentation for customers to verify.

Talk to Several Electricians

After comparing reviews and verifying credentials, consult with several electricians to find the right one for the project. While all of them might be qualified for the job, homeowners should find an electrician that understands their vision and wants to work with them every step of the way. Take notes during the interviews to review and determine the best candidate for the job.

Compare Costs

While qualifications are crucial to getting the job done correctly, homeowners must also stay within their budget to avoid financial stress associated with unexpected surprises. An electrician should provide a precise estimate and include everything to be done to complete the project for homeowners to plan for payment. The goal is to find a qualified electrician that provides all the services needed for the most competitive price. 

Look for Outstanding Customer Service

Finally, it helps to work with electricians dedicated to providing the highest level of customer service and that stand behind their work. Inquire about warranties and other guarantees to verify the project will be completed according to specifications. Then choose the electrician who communicates clearly and makes you feel comfortable about their skills.

Hiring an electrician is often critical to getting the job done right and avoiding additional costs related to injuries and errors. Use this checklist to find a qualified electrician that provides outstanding service within your budget.

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