Trump vs. data: do markets trust US stats anymore? Yes, with real time sentiment analysis
Firing of Bureau of Labor Statistics (BLS) Head and attempt on Federal Reserve Governor On August 1, 2025, President Trump fired Erika McEntarfer, the Commissioner of the Bureau of Labor Statistics, following a disappointing jobs report that showed only 73,000 jobs added in July, with 258,000 fewer jobs created in May and June than previously…
Read MoreBreak free from a single AI vendor
Break Free: Why Your AI Strategy Needs to be LLM-Agnostic Anthropic, DeepSeek, Open-AI, Meta, Google and Microsoft have all made AI releases this month. Again. Whilst these developments certainly represent progress, they highlight a critical concern for forward-thinking organisations: the risk of vendor lock-in. When you build your knowledge bases, workflows, and custom or over-hyped…
Read MoreContext Windows and Contextual Augmented Generation
Claude’s Memory Revolution: AI That Remembers You Imagine an AI that doesn’t just respond—it remembers. With a staggering 1 million-token memory, Claude can absorb entire projects, recall past conversations, and maintain continuity across weeks or even months. Anthropic’s latest upgrade transforms Claude from a clever chatbot into something more profound: a digital partner with contextual…
Read MoreAI terms in 2025 we help you to understand in simple plain language
AI terms in 2025 we help you to understand in simple plain language Generative AI: AI that creates text, images, etc. Chatbot: AI that simulates human conversation Compute: Processing power for AI models Computer Vision: AI that understands images and videos AGI (Artificial General Intelligence): AI that can do anything a human can do. AI…
Read MoreAn Open Letter to Executive Leaders: True Diligence in a World of Digital Risk
An Open Letter to Executive Leaders: True Diligence in a World of Digital Risk Moving Beyond the SOC 2 Badge, A Leader’s Guide to Verifying Vendor Security Dear Executive Leaders, Your organization’s resilience, its data, and its reputation are increasingly dependent on the security of your third-party technology vendors. As recent supply chain incidents have…
Read MoreThe Multi-Use Case Imperative: Financial Services Needs Adaptable AI Solution
Following recent discussions about AI frameworks in financial services, I’ve been reflecting on a fundamental question that keeps surfacing in boardrooms: “How do we avoid the technology trap of single-purpose solutions that quickly become obsolete?”
Read MoreThe LLM Landscape Changes on a Dime: How Financial Services Can Keep Up
The pace of innovation in large language models is accelerating so rapidly that what is cutting-edge today might be obsolete in six months. This creates a fascinating challenge for financial services firms building intelligent automation around compliance, risk assessment, and regulatory reporting.
Read MoreThe Intelligence Revolution for Financial Services is Just Beginning
The conversations I’m having with operations leaders in financial services tell a consistent story: everyone understands AI’s potential, but the gap between understanding and implementation remains frustratingly wide.
Read MoreThe £97 Billion Question: Why Financial Services Can’t Afford to Ignore AI
The numbers are staggering. Financial services worldwide are projected to invest £97 billion in artificial intelligence by 2027, representing a compound annual growth rate of 29%. Yet despite this massive commitment, many decision-makers still ask: “Where do we start?”
Read MoreAI in Financial Services: Beyond the Hype to Practical Innovation
Gartner research has shown a high failure rate of AI projects, with a majority of projects not moving past the Proof of Concept stage. As AI is implemented in financial services, it is imperative that organisations maintain clarity about what actually works versus what is just noise.
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