Artificial intelligence would be helping to fight crime

Economies that have a greater analytical culture and de adoption of artificial intelligence (AI) are the fastest growing.

This is established by an analysis carried out by the company SAS, Analytics & Solutions Software, one of the leaders in advanced analytics and artificial intelligence.

The firm compared country growth reports from the International Monetary Fund IMF withwith those of the state of adoption of Artificial Intelligence strategies prepared by the CAF.

(Read: What will the end of the world be like? ChatGPT illustrated several scenarios).

The conclusion is that, for the Latin American case, the countries that grow the most in both rankings are the same: Colombia, Argentina, Brazil, Peru and Mexico.

It is not a coincidence, says the firm. The adoption of a data and analytical culture, and the development of strategies for the adoption of AI in countries are revitalizing the behavior of companies and sectorsgenerating momentum and growth of the countries’ economies, according to José Mutis O., SAS country manager for Colombia and Ecuador.

The most dynamic sectors with AI are commerce, which according to Dane is the greatest driver of the economy and is one of the sectors that uses AI the most with in order to identify trends and patterns of consumption by people.
In Colombia, according to a study by SAS and IDC, the use of Artificial Intelligence for this purpose reaches 44% of companies.

The adoption of analytical culture and artificial intelligence has been growing significantly in Latin American countries in recent years. On average, 47% of organizations already use AI, and 60% of these companies specifically use solutions for Business Intelligence and Analytics as part of a business strategy, according to Mutis.

Where else is AI intensively applied?

In the financial sector we have helped in fraud detection issues. With AI, through the algorithms at the customer touch points, we can see the patterns and determine if they are normal or abnormal in the interaction with the entity.
After the data analysis, it shows us if one or several operations are fraud, since it determines that it is not a standard of habitual customer behavior. For example, the channels you never use and the system detects patterns that are outside of the behavior. If this is multiplied by the number of customers, transactions and channels, there is an application of AI that allows us in data analytics to make the best decisions.

(See: WhatsApp: cell phones that have been left without the app since April 2023).

And can AI help with societal problems, like hunger?

This is the data for good call. At SAS we have a definition of the responsible and ethical use of AI. It must be fair, transparent and accountable. There are already organizations out there to help data-driven AI advance human well-being. For example, in natural disasters you can quickly analyze the needs of the people, how to quickly fix the electricity to recover a particular area.

Who is using AI the most?

AI and analytics adoption is being driven by large enterprises. The financial sector strongly encourages the use of these technologies.

Also retail and manufacturing due to the volumes of data, but today democratization allows us to put it into practice in any company. With the cloud it allows us to package these practices and the costs have come down sharply.

There is an opportunity for Colombian companies with the analytics and AI that we put at the service of data analysis, to make better decisions. This concept allows these organizations already have access to see the patterns of consumption, purchase and relationships.

Can crime also have access to AI?

In Colombia there has been an advanced use to detect anomalies. The financial system is highly regulated and the banks have shielded themselves and there are regulations to intervene in flows of money that are not legal.

We have collaborated with the Government and companies in fraudulent events that seek to attack entities and people. We can detect connections and networks of criminals.

The tools allow us automatic learning with machine learning for those who are on the right side, to identify the criminal. We have helped the Police find out where criminal networks could be by processing computer vision, by analyzing cameras in several cities in the country.

(See: Mintrabajo questions Rappi’s social security contribution figures).

In various government sectors and entities there is progress as they are making intensive use of the tools. There is a significant volume of data that is made available to decision makers. Another important sector is health, for example to distribute medicines, doctors, distribute vaccines and analyze the costs of bringing food to the most critical or difficult areas.

BRIEFCASE