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KEYNOTE SPEAKER
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Assoc. Prof. Dr. Maizaitulaidawati Md Husin 
Azman Hashim International Business School,
Universiti Teknologi Malaysia

BIO:

Maizaitulaidawati (Ph.D., IFP) is an experienced academician with strong enthusiasm and passion in Islamic banking and finance. She has over 12 years of experience in teaching and supervision. Maizaitul holds a PhD in Islamic Economics from the University of Malaya, MSc in Banking, and BBA in Finance. She is also a certified Islamic financial planner in Malaysia. In 2019, she completed her post-doctoral research study at International Islamic University Malaysia, at which she researched Islamic fintech.

Maizaitul led and involved in not less than 20 consultancy and research projects with a total value of involving more than RM7 Million. Maizaitul has also authored and co-authored more than 60 research papers, book chapters for businesses, universities, seminars, conferences, and article journal publications. She has served the faculty (AHIBS) as the research manager in 2017 and held several other managerial positions in the faculty.

In her spare time, she enjoys a good happy hour with family and friends, the sounds of a great music playlist, reading, travelling and seeking adventure in the outdoors.

Speech Title: TBA

Abstract: TBA

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Assoc. Prof. Dr. Manjeevan Singh Seera

Monash University Malaysia

BIO:

Ir. Dr. Manjeevan Singh Seera is an Associate Professor (Business Analytics) at Monash University Malaysia. His work focuses on applied machine learning in financial systems, AI governance, regulatory technology, and decision analytics. He has worked with financial institutions, regulators, and industry partners on risk analytics, fraud detection, and responsible AI implementation. He is a Professional Engineer (Malaysia) and Chartered Engineer (UK), and frequently speaks on governance and accountability in AI-driven business environments.

Speech Title: Governing AI in Business and Financial Systems: From Innovation to Accountability

​Abstract:  Artificial intelligence is now embedded in core business and financial decision systems, including credit approval, fraud detection, pricing, onboarding, and workforce analytics. While technical capability has advanced rapidly, governance mechanisms within organisations have not evolved at the same pace. This keynote examines why AI governance has become a central management and strategic issue rather than a purely technical or ethical discussion. Drawing on practical examples from business and financial services, the talk highlights how fragmented ownership, weak approval controls, unclear escalation pathways, and insufficient oversight create material operational, reputational, and regulatory risk. It argues that responsible AI must move beyond high-level principles toward enforceable accountability structures, named ownership, documented decision rights, and enterprise-level risk integration. The session concludes with a practical governance framework outlining how firms can operationalise approval, monitoring, escalation, and board-level oversight to ensure that AI systems remain explainable, controllable, and aligned with business risk appetite.
 

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Dr. Fandi Achmad
University of Oxford, UK

BIO:

Fandi Achmad is a DPhil candidate in International Development at Oriel College, University of Oxford. He has over ten years of work experience covering issues of international trade and digital trade policies, competition policy, and financial inclusion. He held various positions in the past, including in the Executive Office of the President of Indonesia, where he monitored the country’s strategic issues on industrial and trade policies, and in the ASEAN Secretariat, where he ran regional programmes for the development of competition policy and law and served the Regional Comprehensive Economic Partnership (RCEP) Working Group on competition negotiations between 2013-2016.
Fandi is currently a consultant for the St. Gallen Endowment for Prosperity Through Trade to monitor trade and commercial policy changes in ASEAN countries for the Global Trade Alert. He also recently engaged as a consultant for UNESCAP and OECD for a research project on digital trade regulatory restrictiveness in several Asian and African countries. Drawing from these experiences, his doctoral research seeks to investigate the channels on how digital trade affects digital technology diffusion in developing countries. He receives the Jardine Foundation Scholarship Award to sponsor his doctoral study.
Fandi holds a Bachelor in Economics Degree from Gadjah Mada University, Indonesia, a Master of Public Policy from the University of Michigan, USA, and a Master of Advanced Studies in Economics from KU Leuven, Belgium. He was also awarded as a Young Leaders for Indonesia by McKinsey & Co. in 2010

Speech Title: Digital Servitisation Exports and Manufacturing Innovation’s Pathways

Abstract: Manufacturers increasingly pair products with digitally delivered services for foreign customers, yet we know little about how these Digital Servitisation Exports (DSE) reshape firm foreign knowledge acquisition and innovation in developing economies. Using firm-level data on 19 Latin American countries’ manufacturers in 2006 and 2010, the study introduces a practical DSE measure and a Firm Digital Knowledge Acquisition Index (FDKAI) that captures routines and platforms for sourcing foreign knowledge through digital channels. To address selection, the study combines entropy balancing, logit models with country, industry, and year fixed effects, and Oster’s coefficient-stability bounds to estimate relationships between DSE innovation outcomes. Three takeaways emerge. First, DSE is associated with more innovation of both kinds: incremental improvements that refine existing offerings (exploitative innovation) and market-novel solutions that push the frontier (exploratory innovation). Second, the innovation payoffs from DSE arise not from digital exposure alone but from complementarities in knowledge conversion: firms convert foreign digital knowledge into innovation outcomes when FDKAI works in bundles with conversion capabilities such as R&D and structured employee training. Third, exploratory innovation demands a richer bundle than exploitative innovation, suggesting that stronger conversion capabilities are required to turn DSE-enabled incremental gains into market-novel breakthroughs. These findings show that DSE functions as an engineered knowledge system rather than merely a sales channel, highlighting the importance of institutionalising platform-mediated learning routines to unlock innovation gains from DSE in developing-country manufacturing firms.

 

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