Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
More Than the Model: What I Actually Do as a Data-Driven Change Leader
Published:
When people ask what I do, the easy answer is “data and AI”. The honest answer is harder: I help organizations decide better.
AI and the Democratization of Decision-Making
Published:
AI may become the greatest democratization of decision-making in modern history, if we do not misuse it first.
The Monkeys, the Ladder, and the Real Challenge of AI Adoption
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There’s a classic experiment about monkeys and bananas that I keep coming back to lately.
Something Big Is Happening: AI, Burnout, and the Future of Work
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AI is transforming work in profound ways, but not in a single, linear direction. On one side, reports like the World Economic Forum’s “Four Futures for Jobs in the New Economy” and McKinsey’s estimates of up to 15–30% of hours that could be automated by 2030 show that displacement and job churn are likely, even if new roles are created in parallel [3][4]. At the same time, early labour‑market data from the Yale Budget Lab suggests that, so far, the overall impact on employment levels is still relatively modest and more evolutionary than catastrophic, which reminds us that a lot depends on how quickly workers and institutions adapt [5].
What is your motivation to do research?
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I have asked myself this question many times, and it often arises when things become difficult. Especially when dealing with the less pleasant aspects of academia, such as hierarchies, informal power structures, politics, and the notion that status and influence sometimes take precedence over the quality or purpose of the work. I understand why this system exists and how it historically helped to assign credit and recognise contributions, but I do not fully identify with many of the practices that have become normalised. I am also not motivated by research whose primary goal is simply to be published. What really matters to me is the purpose of science, how research is conducted, and what each study is ultimately meant to contribute.
Exploring Evaluative AI for SME Strategic Decision-Making at IDEAL 2025
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Next week, I will be presenting my latest research at the 26th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2025) in Jaén, one of Europe’s leading conferences on intelligent systems, learning technologies, and AI in practice. The event gathers academics, industry professionals, and practitioners to discuss innovations in AI, machine learning, and decision support systems, making it an IDEAL platform to share applied research in emerging AI methodologies.
Welcome to My Portfolio: Expectations and Vision
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I’m excited to launch this portfolio website as a space to document and share my journey at the intersection of data engineering, research, and strategic decision-making for SMEs.
initiatives
Communication - Media Appearances
Invited on multiple occasions as a guest on local radio programs, interviewed by university digital media about TechClub UPCT and EncuentraSport, and featured in press coverage of my Bachelor’s thesis on financial data analysis platforms for fintech startups.
Entrepreneurship - EncuentraSport
EncuentraSport — a student-run junior enterprise that transforms sports expertise into services and digital products. I lead the Engineering team to deliver platforms, analytics and client solutions.
Community - Team Building
Building and leading technical communities has been central to my development. From Microsoft Student Partner to TechClub UPCT coordinator and EncuentraSport technical lead, I’ve learned that great ideas need strong teams and collaborative ecosystems to thrive.
publications
Towards a Framework Driven by Use Cases in Data-heterogeneous Environments
Published in Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023) - SISTEDES, 2023
A use case-driven framework to facilitate data consumption and analysis in data-heterogeneous environments, addressing adoption barriers in companies transitioning to data-driven operations.
Recommended citation: Molina, G., Caralt, O., Martínez, J. A., Cánovas Izquierdo, J. L. (2023). Towards a Framework Driven by Use Cases in Data-heterogeneous Environments. In: Durán Toro, A. (ed.) Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023). Sistedes (2023). https://hdl.handle.net/11705/JISBD/2023/4201
Download Paper | Download Bibtex
Strategic Decision-Making in SMEs: A Review of Heuristics and Machine Learning for Multi-Objective Optimization
Published in Computation, 2025
A comprehensive review of heuristics, metaheuristics, and machine learning approaches for multi-objective optimization in SMEs, addressing adoption barriers and providing a practical framework for strategic decision-making under resource constraints.
Recommended citation: Molina-Abril, G., Calvet, L., Juan, A. A., & Riera, D. (2025). Strategic Decision-Making in SMEs: A Review of Heuristics and Machine Learning for Multi-Objective Optimization Computation, 13(7), 173. https://doi.org/10.3390/computation13070173
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Towards an Evaluative AI Framework for Hypothesis-Driven Strategic Decision-Making in SMEs
Published in IDEAL 2025 - 26th International Conference on Intelligent Data Engineering and Automated Learning, 2025
An approach based on the Evaluative AI paradigm where AI actively assists humans throughout the decision-making process in SMEs, focusing on evidence-based co-reasoning, hypothesis testing, and context-aware reasoning.
Recommended citation: Molina-Abril, G., Calvet, L., Riera, D. (2026). Towards an Evaluative AI Framework for Hypothesis-Driven Strategic Decision-Making in SMEs. In: Martínez, L., et al. Intelligent Data Engineering and Automated Learning – IDEAL 2025. IDEAL 2025. Lecture Notes in Computer Science, vol 16238. Springer, Cham. https://doi.org/10.1007/978-3-032-10486-1_34
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talks
TechClub Presentation - UPCT - Microsoft - ENCAMINA
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As consultant for the Microsoft‑ENCAMINA Chair and coordinator of the UPCT TechClub, I presented the Club’s mission and the first set of activities we will run. The UPCT–Microsoft–ENCAMINA alliance seeks to foster local talent by connecting academic learning with industry practice, and the TechClub is one of the Chair’s key initiatives to make that connection concrete.
The TechClub UPCT explains its commitment to digital transformation in companies at Navantia
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As general coordinator of the TechClub UPCT, I led a visit to Navantia facilities where members of the club delivered informative talks focused on Industry 4.0 technologies.
Who benefits from open banking?
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As part of the Inbest team, we presented at the University of Edinburgh Business School where we discussed the implications and applications of Open Banking — specifically third-party access to account holder data. The event brought together experts from FinTech Scotland and our company to explore how open banking is reshaping the financial landscape.
Business strategy based on predictive analytics: Success stories in Big Data, Machine Learning, and Artificial Intelligence
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I had the opportunity to deliver a talk on data science at the Cehegín Economic Promotion Center (CPEC), thanks to an invitation from the Cehegín City Council.
Data, Data Everywhere…
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I presented a talk on the challenges and solutions in modern data engineering, exploring how organisations can move from having abundant data to actually deriving actionable insights from it. The title “Data, Data Everywhere…” references the paradox that many companies find themselves drowning in data yet struggling to extract meaningful value—much like the Ancient Mariner surrounded by water but unable to drink.
Towards a Framework Driven by Use Cases in Data-heterogeneous Environments
Published:
I presented our research work on developing a use case-driven framework for data-heterogeneous environments at the JISBD 2023 conference organized by SISTEDES in Ciudad Real. This work is part of my industrial PhD research focused on helping companies transition to data-driven operations.
Data-driven strategic optimization for sustainable electric last-mile delivery
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I presented our research on data-driven strategic optimization approaches for sustainable electric last-mile delivery at the XVI Congreso de Ingeniería del Transporte (CIT 2025) in Zaragoza. This work applies the strategic decision-making framework from my industrial PhD research to the specific challenges of urban logistics and electric vehicle fleet management.
Evaluative AI Framework for Strategic Decision-Making in SMEs - IDEAL 2025
Published:
I had the privilege of presenting my research on Evaluative AI frameworks for strategic decision-making in SMEs at IDEAL 2025 in Jaén, one of Europe’s leading conferences on intelligent systems, learning technologies, and AI in practice. The conference brought together academics, industry professionals, and practitioners to discuss innovations in artificial intelligence, machine learning, and decision support systems.
When research transforms business: experiences from industrial PhDs
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On November 19th, I had the honor of participating in a round table organized by PIMEC about the impact of industrial PhDs on small and medium-sized enterprises. The event brought together academics, entrepreneurs, and doctoral students to discuss how university-business collaboration can transform SMEs through applied research and knowledge transfer.
Professional Roles, Skills, and Career Paths in Data & AI: An Industry Perspective
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On November 26th, I had the privilege of returning to my alma mater, the Universidad Politécnica de Cartagena (UPCT), to deliver a guest lecture to final-year students in the Data Science degree program. The session focused on “Professional Roles, Skills, and Career Paths in Data & AI: An Industry Perspective” - sharing real-world insights about the data industry and helping students navigate their upcoming transition from academia to professional practice.