MADRID, 21 Oct. (EUROPA PRESS) –
Minsait, an Indra company, has highlighted the potential and capacity of artificial intelligence (AI) to help fund managers predict the behavior of financial assets in a company information day on its related “good practices” with this technology and its focus on the investment sector.
Thus, the company has highlighted the ability of AI to analyze “enormous amounts of data”, segment customers or issue financial recommendations based on the information evaluated, which makes it easier, from its point of view, to carry out a much more detailed analysis of the investment fund returns
“Knowing the conditions of a potential investor from numerous sources, organizing and structuring all the data held about him, segmenting them or accurately assessing his possible risk and profitability are issues that determine the work of fund managers in the financial field and that can now be executed in an advanced way through artificial intelligence”, the company has highlighted.
The global director of Innovation and Strategy of Financial Services at Minsait, Álvaro de Salas, highlighted in the aforementioned information day the importance of taking these systems “as an assistant that can expand” the client base and that has a learning capacity ” very fast”.
This knowledge base is created from the generation of own client data through APIs (Application Programming Interace, for its acronym in English) that facilitate the system and that can be combined with the managers’ own corporate information. .
In Minsait’s opinion, the full potential of AI can be exploited and reach personal banking with a “drastically better” ratio of the number of clients per manager and training the AI with this knowledge base.
“All of this offers us a unique vision of both the income and the financial-asset situation of the person, which allows us to project the financial life and even incorporate current variables or future projections that give us information about health. financial situation of a person,” added the expert.
Likewise, the director of Innovation of Financial Services at Minsait, Mario Robredo, emphasized that generative AI and natural language processing “greatly expand the potential of artificial intelligence, with a very great power of personalization.”
“All this allows the systems to incorporate new data and increase learning with increasingly complex variables, which results in the possibility of obtaining reliable recommendations aimed at financial management itself,” he added.
In this context, through Plaiground, Minsait’s unit specialized in artificial intelligence, those responsible for the management companies were able to learn how AI can evolve the management of investment funds and improve them towards an internal and comprehensive treatment of the knowledge that becomes one of the “key success” factors for these entities.
“Knowledge is the main value of companies, and how it is governed is the key for AI to work and extract the maximum potential from information,” explained the director of AI at Minsait, Natalia Clavero, who also He highlighted the relevance that the government of intelligence itself will also acquire thanks to the relevance that the regulations will take to coordinate the projects related to it.
For Clavero, the implementation of AI in companies must generate trust among their clients, incorporating new regulations in the making that will ensure safe, robust, ethical and transparent AI.
In addition, he warned about the importance of these methodologies being included in the strategic direction of organizations and stressed the value of having an appropriate methodology to achieve the greatest returns in the business field and implement AI projects with the highest degree of success. .
For example, he explained that Minsait has launched, together with Microsoft RAIL, a framework for companies, institutions and entities to accelerate their jump to artificial intelligence as part of their strategy in a competitive context dominated by knowledge.
As he noted, RAIL makes it possible to speed up the rapid adoption of AI by fund managers, measure its impact on the business, facilitate its scalability and set the guideline for ethical criteria.
In addition, it allows companies to know the real return on business and offers legal guarantees in anticipation of the requirements posed by European regulations, “the first regulation on AI will be approved at the end of 2023.”
From analyzing a contact center conversation, the possible listening of social networks, to the creation of synthetic images or transforming them, AI already represents, in Minsait’s opinion, “a qualitative leap in knowledge management” for the company.
Added to this is that in the field of innovation, for example, the AI expert recalled that the company is already testing new resources in sectors such as surveillance.
For the future, he stressed that there are technologies such as quantum computing “that will change the way in which intelligence is processed” and techniques such as federated learning, which will facilitate the sharing of experience between companies “in a world in which data will be increasingly controlled.
