The Artificial intelligence not only learn, respond, listen and analyze What happens in real time: it also understands. And gets more and more in the organizational charts.
The last big blow gave it Carrefour Spainwhose CEO, elodie perthuisot, announced on the networks the launch of the Supergent of the One.. “I don’t know if one day he will replace me, but I know he is preparing Carrefour Spain for his future,” he joked on LinkedIn.
The trend progresses dizzy according to:
- Gartner: he 33% of applications Business will include technology in 2028, against 1% of 2024
- Accenture: he 52% of executives Worldwide believes that people will start using more artificial intelligence agents than apps
But this last report goes further: it ensures that a kind of “is emerging”cognitive digital brain“That will be for companies as a central nervous system that will capture the collective knowledge of the companyits differentiators, culture, and It will make operational decisions autonomously.
Sam Altman, CEO of Openai, believes that AI agents are another key step within a much more advanced technology, being the innovation of “greater impact on the history of humanity.”
Artificial Intelligence Agents: How are used in Argentina
Nahuel Lema, co -founder of Coderhouse, points to iProUP that AI agents are transforming the way companies and professionals workoffering new opportunities and challenges.
Meanwhile, Diego García Francés, Director of Institutional Relations of Educabot, reveals to iProUP who already use them “to customize educational experience of each student, assigning the activity that best Contribute to reach the pedagogical objective At every moment. “
According to the manager, today “they are providing High quality educational experiences to more than 100,000 students simultaneouslysomething unthinkable without this technology. “
Cristian Deferrari, Head Of Infrastructure en Orange xreveals the iProUP who already use technology: “AI MAMSI is an agent who attends more than 500 commercial executiveswhich has allowed increase its productivity by 39%. Besides, Nixiour chatbot has also been optimized with generative, improving the experience of millions of customers“, he states.
For his part, Fernando Turri, Head of Technology and Operations of Santander, assures iProUP who are “developing a virtual agent for Improve internal and external attention“. And exemplifies that” companies such as Verizon, AT&T, Bell Canada and Télus already use overcoming for customer service. “
Soledad Agüero, Director of Digital Relationship & Bi Big Data at Telefónica Movistar Argentina, comments that they already use generative. “The cognitive intelligence we are giving them help them, not only to process information, learn data and solve problemsbut also to resent for new situations. The idea is to continue evolving so that, in the short term, the AI agents can see and talkwe are very close to achieving it, “complete.
Finally, Carlos A. Esteves, a professor of computer engineering at the University of Belgrano, lists a Series of local companies They are adopting advanced technologies to solve specific problems:
-- “Mercadolibre uses AI agents to improve the shopping experience through personalized recommendations and fraud detection “
- “Nubix is an Argentine startup that uses AI to Optimize energy management in smart buildings“
- “Ulá is developing platforms that combine advanced chatbots, real -time data analysis and predictive algorithms To offer personalized financial advice, automated care and early detection of risk “
“In Argentina, other pioneer examples have been developed that could be considered ‘overrages’ for their ability to integrate multiple functions and tools based on AI On the same platform, “adds the expert, who lists:
- Aivo: Originally from Córdoba, offers a set of products such as agentbot, voice, live and help, which integrate Chatbots, voice assistants, live support and knowledge bases in a single solution
- Promises: this integral assistant developed for the Administration of Justice in Buenos Aires Help judicial officials in repetitive tasks through a chat interface with Voice synthesis, predictive case analysis and generation of opinions
- “Predict the drought with AI”: a team of young Argentines developed this project that uses satellite images and artificial intelligence models to evaluate and predict water risksespecially in drought contexts
AI agents: the future
On what is coming, Malena Martin, CMO of Calm, affirms iProUP that “instead of simple assistants who execute predefined tasks, we will see proactive agents, capable of anticipating needs and making decisions more and more complex. ”
“There will also be a more fluid integration between multiple platforms and tools, with AI agents that not only respond, but also Learn from the user and adapt in real time. Another key point will be the Multimodal, which combines text, voice, video and imagesand the evolution of models that allow more natural and contextualized interactions. “
Joel Rodríguez, data scientist at the BTP AI – Global Center of Excellence of SAP, points out that “the next step is that Not only do they execute or perform a particular task, but also understand the business process and the ERP or system in which they are connected. “
According to Estéves, they are expected to be increasingly capable of Learn autonomously, adapt to changing contexts and make decisions collaboratively With humans. “Convergence with IoT, Edge Computing and Big Data Technologies It will enhance its analysis and response capacity in real time, “predicts.
Evolution in natural language processing and the ability to interpret emotions and contexts will enrich human-machine interaction. “In the corporate field, this will translate into real -time benefits and incentives, adjusting to the needs of each collaborator and optimizing its impact on the motivation and retention of talent“The specialist highlights.
“The combination of text, voice, images and videosand the response to nonverbal signals will allow a richest and natural interaction. AI agents will be used to increase human creativity, “warns Alberto Teszkiewicz, Siisa Development and Research Coordinator.
Meanwhile, Martín Saxon, CEO of /Q99, considers that they will evolve towards models that allow workflows more complex and automated. In addition, “we will see advances in long -term reasoning and planning, allowing agents with continuous learning capacity,” he adds.
In general terms, the interviewees agree that The limit is not technology, but the criteria with which it applies it. “It’s not about how far AI can go, but How far should“, emphasizes CALM executive.” If a decision can be completely automated without negatively affecting a user, it makes sense to delegate it in AI. But in processes where the empathy, human judgment or ethics are key, be just a support toolNot a replacement. “
Another limit is the privacy and data use. “Without clear regulations, the risk of abuse in the use of AI is high,” says Martin.
From Red Hat, they consider that the main challenges faced by organizations are the need to “establish security barriers to ensure that Actions are aligned with the intentions and objectives of the supplier and properly reflect the user’s intention. ”
“To incorporate AI agents into workflows it is necessary Identify opportunities and incorporate people into strategic areas. They have to be considered as first -level digital co -workers to those who delegate work. To the establish limits, it will be guaranteed that they have a defined role and a set of capacities. This will prevent decision making leads to damage, “they conclude.
