Next-Concept Modeling (NCM) introduces a structure-led text generation approach that can outperform traditional large language models (LLMs) in speed and efficiency. This article explains how NCM works, what benchmarks measure, and its implications for technology teams building AI-powered products.
A concise, bilingual overview of what algorithmic trading is, how it works, and why it matters for technology, fintech, and capital markets professionals.
Regional tech firms announce IPO plans and cloud initiatives, reflecting digital transformation in GCC markets. The items indicate a push toward fintech and data-centric services.
An overview of how AI and algorithmic trading automate decision-making, enhance data analysis, and improve risk management, while preserving human insight in trading strategies.
A concise analysis of how stablecoins separate monetary and technological functions, why Europe’s response matters, and what this means for fintech, capital markets, and financial stability.
An overview of how AI is reshaping work, with some roles being displaced and others enhanced. The piece discusses skills and value in a changing labor market.
The Capital Market Authority is consulting until 24 October 2026 on a draft cap of 20 algorithmic orders per executed Main Market trade, excluding Very High Liquidity securities, alongside supervision, testing, and data duties, with final provisions intended to take effect on 1 November 2026.