Multimodal Document Analytics for Banking Process Automation

In response to growing FinTech competition and the need for improved operational efficiency, this research focuses on understanding the potential of advanced document analytics, particularly using multimodal models, in banking processes. We perform a comprehensive analysis of the diverse banking document landscape, highlighting the opportunities for efficiency gains through automation and advanced analytics techniques in the customer business. Building on the rapidly evolving field of natural language processing (NLP), we illustrate the potential of models such as LayoutXLM, a cross-lingual, multimodal, pre-trained model, for analyzing diverse documents in the banking sector. This model performs a text token classification on German company register extracts with an overall F1 score performance of around 80\%. Our empirical evidence confirms the critical role of layout information in improving model performance and further underscores the benefits of integrating image information. Interestingly, our study shows that over 75% F1 score can be achieved with only 30% of the training data, demonstrating the efficiency of LayoutXLM. Through addressing state-of-the-art document analysis frameworks, our study aims to enhance process efficiency and demonstrate the real-world applicability and benefits of multimodal models within banking.Comment: A Preprin

PUBLIC PRIVATE PARTNERSHIPS, BIG DATA NETWORKS AND MITIGATION OF INFORMATION ASYMMETRIES

Public Private Partnerships (PPP) represent an increasingly frequent investment pattern where composite stakeholders interact in joint initiatives. Alignment of interests and consequent composition of conflicts is driven by the business purpose of the shared corporation, represented by a private Special Purpose Vehicle (SPV) within a Project Financing (PF) investment package. Corporate governance implications go beyond the traditional contra position between ownership and control, showing cooperative patterns where the value is co-created and distributed. Big data-driven networks represent a trendy issue that connects public and private stakeholders through digital platforms where data are shared in real time. Information asymmetries and governance concerns are consequently softened

Climate Resilient & Equitable Water Systems Capital Scan

Climate change is affecting water supply, water management and the health of communities in U.S. cities. Changes in the timing, frequency and intensity of precipitation are placing stress on the built and natural systems that provide fresh water, manage storm water, and treat wastewater. Droughts are shrinking the water supply; heavy rainfall overburdens storm water systems, causing flooding in homes and neighborhoods. Low-income people and communities of color are often the most vulnerable to climate change, living in low-lying areas and lacking the resources to adapt and cope with challenges associated with these patterns.The cumulative impact of climate change on water resources not only leads to a reduction in water quality and the destruction of homes and property, but it can also be a threat to public health, force relocation of communities and cause economic harm.The vision of Kresge's Environment Program is to help communities build resilience in the face of climate change. We believe that cities are central to action on climate change and equity must be a fundamental part of our work in climate adaptation, climate mitigation and building social cohesion

Big Data Platform Architecture Under The Background of Financial Technology

With the rise of the concept of financial technology, financial and technology gradually in-depth integration, scientific and technological means to become financial product innovation, improve financial efficiency and reduce financial transaction costs an important driving force. In this context, the new technology platform is from the business philosophy, business model, technical means, sales, internal management, and other dimensions to re-shape the financial industry. In this paper, the existing big data platform architecture technology innovation, adding space-time data elements, combined with the insurance industry for practical analysis, put forward a meaningful product circle and customer circle.Comment: 4 pages, 3 figures, 2018 International Conference on Big Data Engineering and Technolog

Declarative Ajax Web Applications through SQL++ on a Unified Application State

Implementing even a conceptually simple web application requires an inordinate amount of time. FORWARD addresses three problems that reduce developer productivity: (a) Impedance mismatch across the multiple languages used at different tiers of the application architecture. (b) Distributed data access across the multiple data sources of the application (SQL database, user input of the browser page, session data in the application server, etc). (c) Asynchronous, incremental modification of the pages, as performed by Ajax actions. FORWARD belongs to a novel family of web application frameworks that attack impedance mismatch by offering a single unifying language. FORWARD's language is SQL++, a minimally extended SQL. FORWARD's architecture is based on two novel cornerstones: (a) A Unified Application State (UAS), which is a virtual database over the multiple data sources. The UAS is accessed via distributed SQL++ queries, therefore resolving the distributed data access problem. (b) Declarative page specifications, which treat the data displayed by pages as rendered SQL++ page queries. The resulting pages are automatically incrementally modified by FORWARD. User input on the page becomes part of the UAS. We show that SQL++ captures the semi-structured nature of web pages and subsumes the data models of two important data sources of the UAS: SQL databases and JavaScript components. We show that simple markup is sufficient for creating Ajax displays and for modeling user input on the page as UAS data sources. Finally, we discuss the page specification syntax and semantics that are needed in order to avoid race conditions and conflicts between the user input and the automated Ajax page modifications. FORWARD has been used in the development of eight commercial and academic applications. An alpha-release web-based IDE (itself built in FORWARD) enables development in the cloud.Comment: Proceedings of the 14th International Symposium on Database Programming Languages (DBPL 2013), August 30, 2013, Riva del Garda, Trento, Ital

Development and implementation of the profitability risk module process

Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceThe main objective of this report is to outline the project carried out at Neyond, where the main goal was developing an automated E.T.L. reporting process for an international bank, one of the clients. This project played a crucial role in solidifying the knowledge gained and implementing the diverse techniques learned throughout the initial academic year. It also provided an opportunity to merge academic training with practical professional experience. This report provides an overview of the project’s goals, methodologies, tools, technologies used, and the challenges encountered during its execution. To accomplish this objective, this report describes the project and the main goals to achieve the desired result, the tools and technologies used, as well as some of the challenges and how they were surpassed

Blended Value Investing: Capital Opportunities for Social and Environmental Impact

This paper is offered not as a fully comprehensive survey of the emerging area of blended value investing, but rather as a set of examples of how such investing practices are being developed and applied around the world. The paper's intent is not to provide a single answer for all investment challenges, but to demonstrate how groups of investors are mobilizing capital on new terms to meet the challenges of emerging investment opportunities, as well as the demands of investors seeking out new asset classes in which to place their capital.This paper presents innovations in capital finance that promise to bridge market-rate interests with strategic opportunities to create blended value that benefits shareholder and stakeholder alike. The following examples speak to an evolving capital convergence wherein mainstream capital markets and investing will increasingly become drivers of new solutions to historic problems. Blended value investing funds and instruments offer financing strategies a set of tools that go beyond traditional philanthropy or market rate investing and which complement the vision we all share of a world with greater equity and opportunity for its members.This paper also identifies several areas of research that would help advance the field of blended value investing. Finally, the paper concludes with words of caution that suggest a prudent approach to developing blended value capital markets. It offers a critique of the state of the markets, presents a strategic vision for the blended value capital markets, and suggests specific steps that participants might take in moving toward the ideal