• According to PwC, AI will contribute up to $ 15.7 trillion to global GDP by 2030. Everis study, affirms that 65% of companies consider the use of Artificial Intelligence (AI) techniques to be key in their processes of business.
• At the Latin American level, Mexico is second in interest in the use of AI and new technologies.
Advances and the use of various disruptive technologies, such as Artificial Intelligence (AI), represent important opportunities for generating economic growth and creating social value. According to PwC, (Price Waterhouse Coopers), AI will contribute up to $ 15.7 trillion to global GDP by 2030, making it a relevant source for growth in the economy. The spill will not be the same for all regions of the world, for example: China would capture 45%, North America 24%, Europe 16% and Latin America would obtain 3%.
For its part, Everis, a multinational consulting company of Spanish origin, carried out in 70 companies the study “The impact of AI on entrepreneurship in Latin America”, where it identified that 65% of them consider that the use of techniques Artificial Intelligence is part of important and relevant processes to contribute to a business.
According to the director of Digital Architecture and Artificial Intelligence of America at Everis, Alberto Otero, Artificial Intelligence in entrepreneurship is at an early stage in Latin America (32%), however, he mentioned that large companies are the first to adopt the new technologies. Likewise, he said that SMEs also automate their manual processes and generate greater precision and cost reduction in different areas. In this sense, Mexico stands out for the investment and interest that companies have made in the matter and it is positioned between the two main regional countries where this type of technology is most considered.
Currently, various Mexican productive sectors have benefited from the use of AI in their products or services, such is the case of SAP Concur, a cloud tool that manages every peso that large corporations and SMEs spend on business trips, where Today's finance leaders control costs and cash flows associated with expenses, travel, and bills.
An example of how this company takes advantage of technology for its users is: saving response time to make hotel reservations, to generate expense checks quickly and easily from a mobile phone; while the corporate benefit is reflected in: having greater control of the assigned budgets according to the hierarchical rank, guaranteeing an accurate and non-surplus expense check.
Considering another example where AI is used, it is in applications that control the precise expenditure of mileage used by those collaborators who travel in the city and on the road, either in their own cars or those provided by companies, where the benefit for the user is: greater ease in checking expenses, greater precision and compliance with your transfers; while for companies, the benefit is: detecting new savings opportunities, reducing ant fraud and avoiding imprecise calculations in the mileage reports that represent between 20 and 25% of the verified budgets.
In this sense, AI is also reflected in solutions that allow budget data to be visible almost in real time and actionable where each budget owner sees what is happening and what is to come, giving them the power to act in any situation. before it is too late. It synthesizes data from SAP Concur solutions, including expenses, invoice, purchase request, and travel request, creating a comprehensive dashboard for spending, before and after it occurs. "Sales leaders and project managers can see how spending events unfold with this platform, which will allow the company to have a future-proof platform," says Haig Hanessian, director of strategic accounts at SAP Concur Mexico.
Likewise, another industry that is forced to adapt to new market conditions is banking, where AI serves as a competitive advantage to implement new methods such as machine learning or deep learning, which help entities in numerous fields, where machine learning and deep learning are the starting point to start the transformation and create products that add value to your customers and can extract relevant data from Big Data, search for patterns that facilitate personalized offers, price adjustments o Detection of bank fraud processes.
The benefit that the banking business obtains with these technological practices is: knowing what services each type of user is interested in through customer segmentation, detecting possible risk management (in the case of loans that are naturally associated with possible non-payment), techniques against fraud and higher profitability in their businesses.
Given this panorama, the role of AI is a technological benchmark, because they are capable of changing patterns of behavior in favor of the productive objectives of organizations, however, if companies are not prepared for this type of change, they will be disadvantaged and will have to pay special attention to review and analyze their transformation strategies based on those that currently exist.