Break 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…

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How AI is Transforming Financial Services

The financial services industry is awash with AI buzzwords, but beneath the marketing jargon lies genuine transformative potential. As someone who has spent the last five years at the intersection of AI and financial services in my work with Mark Goodey, I’ve observed that the most successful implementations aren’t simply bolting technology onto existing processes;…

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Agentic AI: Transforming Financial Services Beyond Generic Solutions

Technology evolves at an accelerating rate, and we are currently witnessing a significant transformation. Agentic AI, artificial intelligence systems that independently pursue goals, make decisions, and take actions with minimal human intervention, is set to fundamentally change how financial services operate. As someone deeply embedded in the financial services technology landscape, I’ve been following the…

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Beyond the Hype: How AI is Transforming Asset Management Today

Asset Management blog for TSAM

Next month, at TSAM London, we will discuss AI’s real-world impact beyond the hype cycle. Before we dive in, I want to share how we are already putting these principles into practice at AI infin8.  The investment operations landscape is experiencing a fundamental shift. A recent Simcorp survey revealed that 75% of investment operations leaders recognise AI’s potential…

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Transforming Financial Services: The AI infin8 Approach to Innovation

Blog for Innovation

The financial services industry is at a pivotal moment. While 75% of investment operations leaders recognise the transformative potential of artificial intelligence, many are still searching for practical implementation guidance. This gap between understanding and action represents both a challenge and an opportunity.  Beyond Basic Automation Traditional approaches to operational efficiency in financial services have…

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Transforming Asset Management: AI-Powered Sentiment Analysis – Real Life Applications

anti money laundering

Today, asset managers face an unprecedented challenge: making sense of vast amounts of unstructured data to drive investment decisions. With up to 80% of financial services data being unstructured, traditional analysis methods can’t keep up. This is where AI is revolutionising the landscape. Understanding the ‘Why’ Behind Market Movements Consider a scenario familiar to many…

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AI in Investment Operations: Moving Beyond Automation to Intelligence

ai in investment operations

The recent InvestOps survey reveals a striking insight: 75% of investment operations leaders understand AI’s potential benefits but need more guidance on practical implementation. This statistic reflects the industry’s current position—recognizing AI’s transformative power while grappling with how to deploy it effectively. The Evolution of Operational Efficiency Traditional approaches to operational efficiency in investment management…

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The Future is Now: AI is Disrupting Financial Services Compliance and Market Analysis

Artificial intelligence is driving a profound change in financial services. As institutions face increasing regulatory complexity and market volatility, AI has emerged as a crucial tool for maintaining compliance, understanding market sentiment, and making informed decisions. We are witnessing the emergence of Agentic AI – sophisticated artificial intelligence systems that go far beyond traditional chatbots…

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What the Future Holds: From LLMs to AI Agents

Agentic AI

In 2024, we saw a dramatic shift in interest towards AI “agents” and, more generally, systems that allow domain expert humans and AI agents to work collaboratively towards a goal or automate the handling of incoming tasks. Despite having existed as a term in AI for decades (specifically reinforcement learning), “agent” has become a loosely…

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