The director of the artificial ielligence group of the informatic services company announced in the specialized panel “Artificial ielligence routing in the banking climate” which was held on the sidelines of the 26th Alcomp Iernational Exhibition, that artificial ielligence has caused a fundameal change in coe production, in such a way that 36% The global banking industry is currely moving towards artificial ielligence and a significa number of new tools are being iroduced daily due to the developme of this technology. This trend has also led to the developme of text-to-speech tools and automated coe generation.
According to the Hoshio report, quoted by Isna, Shahreh Tabatabai, the manager of the artificial ielligence group of Informatic Services Company, stated: Currely, 36% of the world’s banks have gone to artificial ielligence.
He defined artificial ielligence as including machine learning, speech and image processing, automation, robotics, and natural language processing, and noted that the use of artificial ielligence by organizations has become inevitable due to its ability to reduce costs and provide significa benefits. .
The manager of the artificial ielligence group of the informatic services company coinued to describe the various applications of artificial ielligence in the banking industry, including fraud detection and preveion, customer loyalty and attraction, manageme and facilitation of financial transactions, and predictive analysis to ideify the best course of action.
Discussing the use of technologies such as chatbots, ieractive assistas, analysis of payme card chips and market analysis in global banks, Tabatabai noted: Today, the use of GPT chat and artificial ielligence in the insurance industry is increasingly popular.
He emphasized: The rapid developme of artificial ielligence has led to the addition of a thousand new tools on a daily basis, which has led to a significa evolution in coe production at the global level, in such a way that today we see the developme of text-to-speech tools and automatic coe production. Are.
Tabatabai discussed the obstacles created by digital advancemes, highlighting the need for large data volumes, GPU-based infrastructure, the impracticality of data outsourcing due to security concerns, and the lack of pre-designed APIs as challenges in the field. .
According to the manager of the artificial ielligence group of the informatics service company, many large companies such as Samsung have banned the use of ready-made APIs.
What he ideified as legal challenges in the field of artificial ielligence were the inexplicable nature of decisions made by artificial ielligence models, skepticism about the responses generated by chatbots, the requireme to protect the privacy of customer data, and the inadequacy of regulations and laws that protect ownership. It dictates the data.
