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AI cost efficiency and data sovereignty are at odds, forcing a rethink of enterprise risk frameworks for global organisations. For over a year, the generative AI narrative focused on a race for capability, often measuring success by parameter counts and flawed benchmark scores. Boardroom conversations, however, are undergoing a necessary correction. While the allure of […]
Balancing AI cost efficiency with data sovereignty Read More »
SAP and Fresenius are building a sovereign AI platform for healthcare that brings secure data processing to clinical settings. For data leaders in the medical sector, deploying AI requires strict governance that public cloud solutions often lack. This collaboration addresses that gap by creating a “controlled environment” where AI models can operate without compromising data
SAP and Fresenius to build sovereign AI backbone for healthcare Read More »
We’re three years into a post-ChatGPT world, and AI remains the focal point of the tech industry. In 2025, several ongoing trends intensified: AI investment accelerated; enterprises integrated agents and workflow automation at a faster pace; and the toolscape for professionals seeking a career edge is now overwhelmingly expansive. But the jury’s still out on
Rising labour costs and tighter delivery margins are pushing large platform operators like Grab to look at automation. It’s moved to bring robotics capability in-house by its acquisition of Infermove. Grab operates at a scale where small efficiency gains can have out-sized effects. Its platform supports millions of deliveries in Southeast Asia, many of them
Grab brings robotics in-house to manage delivery costs Read More »
As data storage and management becomes less expensive, many organizations are tasked with being “data-driven”. What does this mean in practice? For many, using data to inform important organizational decisions is an important goal. This is the role of Decision Intelligence (DI): a practice that bridges decisions to data. However, it’s not always clear how
For large retailers, the challenge with AI is no longer whether it can be useful, but how it fits into everyday work. A new three-year AI partnership by Tesco points to how one of the UK’s biggest supermarket groups is trying to answer that question. The agreement with French startup Mistral AI is less about
Tesco signs three-year AI deal centred on customer experience Read More »
¿Qué es FRTB? El FRTB (Fundamental Review of the Trading Book) es una reforma integral del Comité de Supervisión Bancaria de Basilea (BCBS) para corregir debilidades del marco previo de riesgo de mercado, evidenciadas en la crisis financiera de 2008. Sus objetivos principales son: Marco más robusto: metodología más precisa […] The post Retraso en
Retraso en la aplicación de la normativa FRTB: Implicaciones Read More »
Even networks long considered “untrainable” can learn effectively with a bit of a helping hand. Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have shown that a brief period of alignment between neural networks, a method they call guidance, can dramatically improve the performance of architectures previously thought unsuitable for modern tasks.Their findings
Guided learning lets “untrainable” neural networks realize their potential Read More »
Most languages use word position and sentence structure to extract meaning. For example, “The cat sat on the box,” is not the same as “The box was on the cat.” Over a long text, like a financial document or a novel, the syntax of these words likely evolves. Similarly, a person might be tracking variables in
A new way to increase the capabilities of large language models Read More »
The Model Context Protocol (MCP) is genuinely useful. It gives people who develop AI tools a standardized way to call functions and access data from external systems. Instead of building custom integrations for each data source, you can expose databases, APIs, and internal tools through a common protocol that any AI can understand. However, I’ve
