Rose Barragan

RESEARCH PUBLICATIONS,
WHITEPAPER REPOSITORY &
PROJECT PORTFOLIO
DIRECTORY OF THEMES
AI Retail I Facial Recognition Technologies I Health I Innovation
Regulation & Governance I Sustainability I Trustworthy AI
AI Retail
Collaboration
Reinvention of the fashion industry through artificial intelligence, fostering a new value-generation model for brands. This vision aims to inspire technologists and business professionals in applying AI to attract digital customers with innovative, hyper-personalized, and unique offerings, while also demonstrating that its implementation is more accessible, faster, and cost-effective than initially anticipated.
Facial Recognition Technologies
Individual
This collection of papers explores the key challenges of facial recognition technology (FRT) through detailed use case analysis, critical assessment of alternatives, and comprehensive policy review.
Facial Recognition Technologies
Individual
This report addresses the challenges associated with facial recognition technologies, exploring relevant cases where governments and security agencies have implemented them.
The paper also proposes a redesign of police body cameras operated by Axon, a product that, while not currently employing FRT, is encountering growing demand from governments and law enforcement agencies to integrate this technology.
Facial Recognition Technologies
Individual
The expansion in the development and deployment of Facial Recognition Technologies (FRT) by public administrations and private organizations is resulting in significant ethical and legal challenges, including invasion of privacy, lack of consent in the collection of biometric data, lack of safeguards, lack of democratic oversight, and indiscriminate application of the technology. This Policy Brief exposes the risks and challenges present in FRT technologies, and proposes a set of alternatives that check and balance the state-of-the-art FRT while promoting a more ethical, responsible and legal approach.
Facial Recognition Technologies
Collaboration
Every day along the U.S.-Mexico borderlands, dreams are fulfilled and denied, lives are reconnected and snuffed out, and power is enforced and subverted.
This project critically examines the increasing and underreported role of AI surveillance technologies in immigration enforcement, commonly known as the “smart wall”. As we analyze the wall's technologies and deconstruct their successes and failures, we argue they are not as advanced as they seem. Rather, they compose the latest iteration of logics of security and sovereignty that sort people, generate profit, and perpetuate cycles of hazardous crossings.
In looking to the future, we point to the importance of addressing the root causes of migration and reimagining the immigration system within a new definition of shared security.
Health
Whitepaper
Individual
This report examines the presence of three major air pollutants PM2.5, PM10, and NO2 - in over 6000 cities in 117 countries around the world, as well as the reported fatalities due to pulmonary diseases. The ultimate goal is to establish a direct relationship between the presence of these harmful particles in the air and the increase in deaths from chronic respiratory diseases. In addition, it is intended to offer concrete suggestions and strategies to reduce air pollution levels to protect public health.
Health
Code: Python + Dataset
Individual
This is the code & datasets used to conduct this report, which examines the presence of three major air pollutants PM2.5, PM10, and NO2 - in over 6000 cities in 117 countries around the world, as well as the reported fatalities due to pulmonary diseases. The ultimate goal is to establish a direct relationship between the presence of these harmful particles in the air and the increase in deaths from chronic respiratory diseases. In addition, it is intended to offer concrete suggestions and strategies to reduce air pollution levels to protect public health.
Innovation
Collaboration
AI FOR BUSINESS VALUE GENERATION is a guide to addressing business challenges, elevating business models to the next step, and leading market disruption in this new environment by harnessing D&I capabilities.
Innovation
Collaboration
In order to keep up with the market’s fast pace, ensure a successful product differentiation from competitors, and motivate the preference of an increasingly demanding customer profile, we support our clients to lead the market with avant-garde scalable Digital Intelligent Services thanks to our NTT DATA AI LABS. The AI Labs offers a 3-phase approach for ideating fast AI initiatives that tackle the business needs and technological hurdles in an innovative way. Our methodology involves multidisciplinary roles under a common working methodology for the development of D&I projects and leverages cloud capabilities that can be embedded throughout the entire AI Lifecycle that bring Digital Intelligent Services to scale.
Innovation
Collaboration
This guide presents the need of prototyping AI projects, exposing the game-changer technologies that allow the rapid and agile prototyping of this kind of projects and introduce our very
own AI Prototyping Tech Stack.
Innovation
Collaboration
This paper introduces the Intelligent Platform (IP) - a platform that can automate all the bureaucratic tasks in the data value stream and nurture experimentation, democratize innovation and strategic prototyping, augment efficiencies, reduce time-to-market, and support the final decision-making process with AI/ML assistance.
Innovation
Collaboration
The CoE offers strategy services that align business needs with innovation, service design, governance, and advisory on architectures, enabling scalable models and customized solutions. Moreover, we leverage Hyperscalers’ cloud specialized assets to accelerate time-to-market processes and to foster D&I capabilities and know-how combined with our experimentation work. In this way, our clients benefit from personalized support, activating different services that best fit their current maturity level and set goals.
Innovation
Individual
To overcome the main challenges arising from the new competitive environment, BBVA has designed a differentiation strategy written under the tagline “BBVA, creating opportunities.” This strategy seeks to accelerate the bank’s digital transformation by analyzing data and developing 100% digital platforms to deliver the best financial solutions, provide financial education, and offer personalized advice to all its customers, so that they can achieve their goals.
Regulation & Governance
Collaboraion
On the 21st of April 2021, the European Commission published the long-awaited regulation proposal, known as the AI Act, governing the use of AI systems regarding their level of risk (prohibited uses, high-risk, limited-risk, and low risk). The proposal establishes horizontal proportional requirements that will ensure the proper development of trustworthy AI systems. This regulation has the ambition to harmonize the existing EU laws to facilitate investment and innovation in AI while protecting the individuals’ fundamental rights and principles on which the EU is founded when developing AI systems.
Regulation & Governance
Collaboration
Within AI governance, we identify the following three key domains to support the definition of solid AI-Driven Organization foundations. These levers should help organizations continuously innovate by enabling fast experimentation, and foster AI-driven initiatives with differential value.
Regulation & Governance
Collaboration
The Data Act is expected to incentivize data sharing and build trust to promote value in the data economy. However, this will only be achieved if regulation acts as an enabler rather than as a set of restraining obligations. If businesses see additional costs for them to provide data or risks of penalties for non-compliance, they will make less data available leading to a reduction of the possibility for value creation and for common good. The proposed provisions aim for facilitating access to and use of IoT data by consumers and businesses, while preserving incentives to invest in ways of generating value through data.
Regulation & Governance
Individual
The Digital Europe Program aims to boost the digitization of businesses, citizens, public administrations, and research centers across the 27 EU member states. In doing so, it seeks to improve Europe’s competitiveness in the global digital economy and reduce the digital gap caused by inequalities in access to technology. This project aims to evaluate two particular areas to measure its impact and effectiveness of the Digital Europe Program.
Regulation & Governance
Individual
Para aprovechar las oportunidades que ofrece la Inteligencia Artificial (IA) y hacer frente a los principales retos, la Comisión Europea presenta un escenario donde la IA promueve un doble objetivo: por un lado, el diseño de un Mercado Único Digital que esté liderado por el desarrollo y empleo de las tecnologías más innovadoras; y por otro, la promulgación de un marco legislativo común a todos los Estadosmiembros para definir los estándares de gestión, tratamiento y protección de los datos personales en la era digital, así como abordar los riesgos vinculados a la IA.
Sustainability
Final Report
Individual
This project aims to explore people’s levels of Knowledge, Awareness, caring, concern, and actions towards environmental protection. Based on this data, the project seeks to create a series of recommendations that can contribute to increasing people’s knowledge and design actions to help mitigate the effects of climate change at a global level.
Sustainability
Code: R + Dataset
Individual
This is the code & datasets used to conduct the project on "Awareness of Climate Change and Environmental Impact". This project aims to explore people’s levels of Knowledge, Awareness, caring, concern, and actions towards environmental protection. Based on this data, the project seeks to create a series of recommendations that can contribute to increasing people’s knowledge and design actions to help mitigate the effects of climate change at a global level.
Sustainability
Whitepaper
Individual
This comprehensive Whitepaper aims to reinvigorate international conversations through a multidisciplinary approach that combines data science techniques and public policy advocacy to make informed decisionmaking and emphasize the development of an international treaty.
Sustainability
Code: Python + Dataset
Individual
This is the code & datasets used to conduct this comprehensive Whitepaper, which aims to reinvigorate international conversations through a multidisciplinary approach that combines data science techniques and public policy advocacy to make informed decision-making and emphasize the development of an international treaty.
Sustainability
Collaboration
Extreme heat, a negative externality of climate change, has significant impacts on public health, economic productivity, and social equality. This urgent policy problem requires effective policy responses that integrate mitigation, adaptation and systemic reforms. Expanding cap-and-trade systems, addressing environmental justice concerns, and investing in adaptive technologies are critical to reducing greenhouse gas emissions and protecting against extreme heat’s immediate effects
Sustainability
Individual
Climate change will continue to intensify both the frequency and severity of epidemics globally, making clear the urgency of addressing this challenge immediately. This research suggests that the most effective policies to tackle this challenge are those that primarily aim to mitigate the unequal effects of climate change-induced epidemics through the implementation of health care, cash grants, and targeted stimulus to vulnerable groups and households.
Trustworthy AI
Collaboration
AI is generating much expectation and the first organizational movements towards the creation of a responsible and ethical AI. But, at the same time, it is posed as a challenge for CDOs and CIOs leading to many open fronts to tackle.
Trustworthy Ethics
Collaboration
Tomando en cuenta el impacto de la IA en sus diferentes fases y aplicaciones, hemos considerado elaborar un decálogo que traslade el compromiso que implica un uso responsable e inclusivo de la IA a través de tres grupos de interés: la Sociedad, el Individuo y las Organizaciones.
Trsutworthy AI
Collaboration
Nos hemos enfocado en diseñar servicios de inteligencia artificial centrados en las personas, con un enfoque específico en los sectores bancario y asegurador. Para ello, hemos colaborado estrechamente con empresas de ambos sectores,
ya que son más susceptibles de experimentar una transformación importante con la irrupción de la IA, y son más proclives al diseño de servicios que embeban esta tecnología.


























