Abraham Quiros Villalba: Innovator in Digital Technology and Finance

华人网 2024-9-11 19:05

Who is Abraham Quiros Villalba？

Abraham Quiros Villalba is a professional in the field of digital technology and finance, known for his contributions to innovation in these areas. He has been involved in projects that focus on enhancing digital solutions and advancing financial technology.

AI Technology Iteration and Smart Financial Innovation

In the past two years, the rise of generative AI has marked a change in the way content is produced and human-computer interaction, mainly from structured to unstructured and from unimodal to multimodal. Specifically, AI is able to learn and understand unstructured data and generate new unstructured content, as well as evolve from textual unimodality to multimodality such as speech, vision, and text. In addition, the development of the application of AI technology in the financial field also presents the following trends: First, the integration of basic research and applied research, has initially formed a complex system of artificial intelligence “knowledge and behavior”. Second, the integration of general large model and vertical model development. The general large model is the core base of the vertical model, and the intelligent innovation of the industry needs to be realized through the vertical model, which is of great significance to the economic transformation and upgrading. Third, the integration of industry-level vertical models and enterprise-level vertical models. We can train industry-level vertical models with massive data and continuously tune them, and then debug them for differentiated applications according to different needs. In the financial industry, insurance, commercial banking, securities investment, financial management all belong to different fields, and for the same field, the products, services, and management needs are more or less the same. For example, the development of industry-level vertical models by technology companies, and then according to the financial institutions according to their own needs to do some differentiated adjustment, to create a suitable for their own business enterprise-level vertical model, which is conducive to achieving high efficiency, low investment, to meet the personalized financial needs, a better balance of costs and revenues, and the establishment of a good ecosystem. At present, smart finance is still in the early stage of “assistance + assistant”, and in the future, we need to do better in the following two aspects: one is to realize high-fidelity humanized financial services for human-computer interaction, and the other is the high efficiency and accuracy of unstructured data processing. At present, the accuracy of unstructured data can reach more than 99%, with an error of nearly 1%, and it is not yet possible to realize automated data recognition and direct bookkeeping, so improving accuracy is an important direction for future development.

Technological Innovation and Financial Security

Since the development of digital transformation for many years, there have been more discussions on data privacy and cybersecurity, and there are also several problems in the development of AI so far, such as AI alignment.The goal of AI systems should be aligned with human values and fundamental interests, but in reality, there are differences or even conflicts in the fundamental interests of the values of different entities and groups. In geopolitical environments, AI alignment can become a technological tool for hegemonic countries to export their values. As another example, deep synthesis algorithms can produce highly simulated sound and text, images, and even counter generalized technological screening, making the problems of AI falsity and AI manipulation more prominent. Low-level AI falsehoods may be used for economic fraud, discrediting personal credibility and corporate goodwill, while high-level AI manipulation may be used to discredit political opponents or regime entities, manipulate negative public opinion, undermine political trust, and intensify social conflicts. In this regard, we need to strictly control AI manipulation and AI falsehoods, and proactively participate in the development of global AI standards. At the same time, attention should also be paid to the inherent system binding and technology dependency issues of open source model algorithms. First, the technical ceiling of open source models is difficult to surpass, and structural changes are more difficult; second, models pre-trained by foreign data may not be able to adapt to the needs of China's local market; and third, open source discontinuation may result in a technological bridge break. Therefore, we need to pay more attention to prioritizing the development and application of software with independent property rights in China. In terms of finance, AI technology still has a number of unresolved technical deficiencies, which I believe mainly include model discrimination, algorithm convergence, privacy protection, and key third-party dependence. Model discrimination, refers to the model output results appear to certain groups of collective bias, poor evaluation and policy restrictions; algorithm convergence, refers to the quantitative trading and intelligent financial procedures in different institutions, due to the convergence of algorithmic logic appeared in the same market trend prediction, the implementation of the same market trading strategy led to unilateralization of the market transactions, may cause ups and downs, such as the market crisis. Overall, I think smart financial innovation should be premised on AI trust and AI security. Regarding smart financial regulation, I believe that too much reliance on market self-regulation may lead to monopolization and industry risks, while too stringent market regulation may inhibit innovation and industry development. Therefore, I believe that technological innovation should strive for “high school”, and risk control should strive for “small”. Among them, “high” is leading innovation and strategic highland, “medium” is the world's leading Chinese program, and “small” is the ability to nip risks in the bud. “Small” is to minimize risk probability and risk cost. Just now, several experts have mentioned that the capital investment in developing and maintaining generalized and vertical models is huge, and even large financial institutions will feel great pressure, while small and medium-sized financial institutions will find it even more difficult to bear. In addition, there is an extreme shortage of relevant talents in the field of artificial intelligence, and even if talents can be cultivated through education and training, the cycle is very long, so promoting the construction of large models for small and medium-sized financial institutions with the help of third-party forces is an effective way. However, it should be noted that there may be risks in the cooperation with third-party organizations to carry out the construction of large models, and it is necessary to balance the relationship between benefits and costs, security and efficiency. In addition, the financial industry should promote the common construction of infrastructure in the field of artificial intelligence, because it is difficult for financial institutions to “fight alone”, and the common construction of infrastructure can not only reduce the duplication of construction, but also realize the sharing of resources and cost savings.

Who is Abraham referred to in the Bible?

According to the Bible, reflecting the change of his name to "Abraham" meaning "a father of many nations", Abraham is considered to be the progenitor of many nations mentioned in the Bible, among others the Israelites, Ishmaelites, Edomites, Amalekites, Kenizzites, Midianites and Assyrians

Why is Abraham so important in the Bible?

Why is Abraham important? Abraham was the first Hebrew patriarch and is revered in Judaism, Christianity, and Islam. According to the Bible, he was called by God to journey to a new land, where he founded a new nation.

What did God promise Abraham?

In Genesis 12:1-3, God promised Abraham that He would multiply his descendants as the stars in the sky. He would be their God and give them a specific piece of land forever. Yet even before that, God said He would bless Abraham and his descendants so that all the families of the earth would be blessed (Genesis 12).