Artificial Intelligence, a development opportunity for Argentina, especially for health and insurance sectors

What capabilities should Argentina develop to be a global hub of AI?

The objective of consolidating as there wasRelevant of artificial intelligence, leads to the need to generate skills that facilitate and ensure this process.

The Argencon report raises the following selection of capacities with a score of relative importance on 5 categories:

• Technological infrastructure, such as data centers, communication networks, and energy sources, etc. (3.83)
• Appropriate regulatory framework for innovation and development (3.70)
• Technician training (3.57)
• Stimulation of the demand for AI in the productive apparatus (2.67)
• Stimulation of the demand for AI in society (1.23)

For companies participating in the survey promoted by Argencon, The development of AI can have a transformative impact for industry and the country.

That is why infrastructure that requires the development of this technology is the most valued capacity as a challenge to undertake (3.83/5)

“The dissemination of AI in society and the productive apparatus is key in this development”points out the study, which also highlights structural elements that make the knowledge economy in Argentina, such as technical and professionals.

In fact, according to the experience we have been developing in connection for 28 years and as a member company of Argencon, the training of those who must manage technology in organizations and who are users of platforms, systems and applications based on this type of innovations, is essential for a digital transformation project to be consolidated.

Strategies for Argentina to be a world reference in AI

At the end of 2024, Argencon presented a set of strategic recommendations to establish Argentina as a global reference in the development and application of artificial intelligence.

These suggestions today renew their transcendental importance, taking into account the results of the latest report of this technological chamber.

Punctually, the five specific strategies that Argencon suggests so that Argentina is an international reference in artificial intelligence, are the following:

1. Promote innovation and development:

• Promoting a regulatory framework that encourages innovation and creation of new artificial intelligence solutions, without restrictions that can slow down the development of this emerging technology.
• Avoiding rigid normative formats, with excessive bureaucratic and dysfunctional load with respect to innovation dynamics.
• Maintaining the activities of creation and development of AI in line with the best professional practices and international standards.

2. Observation and adaptation:

• Establish local regulations without ignoring global trends.
• Understand that the amplitude, depth and capillarity of AI solutions requires a normative system that contemplates the specificity of particular cases.
• Promote the filing of Hubs of IA and strengthen the local ecosystem.

3. Ethical and responsible use of AI:

• Take care of the responsible use of AI in each specific area of ​​application, through ad hoc regulations, and avoiding general laws and high bureaucratic load.
• Use, and eventually adapt, the plexus of existing norms on privacy of personal data, fraud, consumer defense, among others, to address specific situations derived from the use of this technology.

4. Regulatory Sandboxes:

Faced with complex situations in which the implications of the use of AI should be resolved in a particular environment, establish regulatory sandboxes that facilitate an objective test and observation environment of the results of the use cases. Restricting this modality to exceptional cases where there is an objective and founded controversy.

5. Democratization of AI

• Provide conditions for the massive use of the benefits of AI, facilitating the proliferation of companies that explore and develop new solutions.
• Promote training and education in AI to ensure that young generations can actively participate in this field of wide labor.

These recommendations arise from the extensive experience of the members of Argencon, such as connection, in the research, development and implementation of AI solutions.

Also of the observation of normative essays in various regions and countries regarding the best field of development for this emerging technology.

Importance of artificial intelligence in health insurance and labor risk

At present, artificial intelligence (AI) is revolutionizing multiple industries, and the insurance sector in health and risk risk is no exception.

The ability to analyze large volumes of real -time data and make more precise and efficient decisions is transforming the way in which the risks are managed, the processes are optimized and the attention is improved to the insured.

1. Prevention and early detection

One of the greatest benefits of AI in health insurance is its ability to anticipate risks and detect diseases in its early stages. Thanks to the analysis of mass data and automatic learning, algorithms

They can identify patterns in the health of the insured, allowing early interventions that reduce costs and improve medical results.

In the field of labor risk, AI allows to monitor work environments in real time, identifying possible dangers and preventing accidents before they occur. Sensors connected to AI systems can alert about dangerous working conditions and suggest immediate corrective measures.

2. Automation and processes efficiency

The implementation of AI in health insurance has allowed automating administrative processes and reducing bureaucracy. From the claims evaluation to the management of policies and medical authorizations, intelligent systems can process information in seconds, reducing waiting times and human errors.

In the case of labor risk insurance, IA facilitates the evaluation and liquidation of claims when analyzing incident data and calculating compensation with greater precision, guaranteeing fair and fast compensation for affected workers.

3. Personalization and experience of the Insured

The use of AI allows you to design personalized insurance plans based on the health profile and habits of each individual. This not only improves accessibility and equity in services, but also encourages healthy lifestyles through rewards and discounts for insured that adopt beneficial practices for their well -being.

4. Ethics and data safety

Despite its advantages, AI in the insurance sector raises ethical and data safety challenges. Transparency in algorithms, the protection of the privacy of the insured and the responsible use of the information are fundamental aspects that must be regulated to avoid discrimination and guarantee confidence in the system.

Conclusion

Artificial intelligence is deeply transforming health insurance and labor risk management.

Its ability to analyze large volumes of real -time data allows a more precise risk assessment, an early detection of diseases and accidents, and an optimization in accident management.

This translates into more efficient processes, reduced costs and, above all, better results for both people and companies.

However, the adoption of these technologies is not exempt from challenges:

• It is essential to have a solid regulatory framework that guarantees transparency, security and equity in its use.
• Ethics must occupy a central place, always prioritizing the well -being of the insured and avoiding possible biases in AI models that can generate discrimination or exclusion.

The future of insurance is digital and intelligent, but it must also be more human. Technology must be at the service of people, facilitating access to more personalized, agile and fair coverage.

The key is to find the balance between innovation and responsibility, ensuring that AI not only optimizes processes, but also strengthens the trust and protection of those who need it most.

Luis Navas, CEO of connection and entrepreneur Endeavor.