AI Innovation
Impact Social, powered by AI infin8, introduces Social Media Analysis: Behavioural Intelligence Behind Early Non-Farm Payroll (NFP) Forecasting
In the world of financial markets, few data releases are as closely watched as the U.S. Non-Farm Payrolls (NFP) report. It’s a key indicator of economic health, influencing everything from interest rate expectations to equity and currency markets.
Read MoreTrump 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 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.
Read MoreBreak Free: Why Your AI Strategy Needs to be LLM-Agnostic
Microsoft has just announced their Copilot Wave 2 spring release, touting new capabilities like AI-powered search, Copilot Notebooks, and an Agent Store for accessing specialised reasoning agents. 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…
Read MoreThe AI Implementation Gap in Asset Management: Practitioners vs Pontificators
A recent SimCorp survey revealed that 75% of investment operations leaders understand AI’s potential benefits but need more guidance on practical implementation. This statistic perfectly captures our industry’s current state—recognising the transformative power of AI while grappling with how to deploy it effectively.
Read MoreWhy Human-Tech Synergy Matters in Asset Management
Technology alone doesn’t drive transformation. The most successful implementations emerge when we focus on the synergy between human expertise and technological capability.
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