Sep 2026· Entrepreneurship and Innovation in BRICS Economies· pp. 185-199· 3 references
Abstract
Abstract The globalisation – new technologies, new innovations, industrial revolutions and internet – has influenced the direction and operation of the world’s economy in many aspects, particularly by enabling businesses and people to exchange efficiently, conveniently, rapidly, inexpensively their products, service and information between countries through electronic equipment. The two-sided market serves as a rendezvous for two sets of agents who interact through an intermediary; hence, it can enormously be the place for these agents to exploit benefits, as it plays a significant role in strategic decision-making and economic policymaking. Pursuant to the key objectives of the BRICS, the coordinating policymakers of five countries have been developing and researching the technology infrastructures to present the greater availability of high-quality free-flow data, such as in medical healthcare segment with artificial intelligence (AI) and machine learning, to improve the quality and standard of healthcare. In addition, digitalisation mechanism offers new opportunities to expand businesses in the global market by applying various online tools and digital technologies. This chapter focuses on the importance of digital technology in the global two-sided market, particularly, the BRICS for both providers and consumers, based on the Sustainable Development Goals (SDGs). The author explains the modern approaches to the main characteristics and development of digital technology to marketing strategies. Consequently, a continuing increase of the digitalisation builds efficiencies and advantages in the sharing economy of two-sided platform because technologies keep fuelling economic, industry and infrastructure growth, pushing innovation, contributing healthcare system and escalating employment opportunities, which are the elements of the SDGs.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
Microsoft Research Blog· microsoft.comOct 30, 2026
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
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