Harnessing Enterprise Data Management and AI in Financial Services
Enterprise Data Management and AI in the financial services industry is undergoing a profound transformation driven by data proliferation, regulatory complexity, and the demand for real-time insights. Innovative platforms enable financial institutions to adopt a “one-to-many” approach to artificial intelligence (AI). This strategy involves deploying centralized AI and data infrastructure that can serve multiple business…
Read MoreHarnessing AI and LLMs in Financial Services: A Trustworthy, Secure, and Provider-Agnostic Approach
The financial services industry stands at a pivotal moment. With the rise of generative AI and large language models (LLMs), institutions have the opportunity to transform operations, enhance customer experiences, and unlock new efficiencies. Yet, this potential must be balanced with strict regulatory compliance, data security, and ethical responsibility. The key lies in adopting a…
Read MoreAI Innovations for Client Communication in Financial Services – September 2025 Newsletter
AI Innovations for Client Communication in under 5 minutes. A compelling read of the most recent product-related press releases from Google, Apple, Meta, Oracle, Anthropic, DeepSeek, Mistral, and OpenAI, with a focus on innovations relevant to investment management and client communication. Here at infin8 we remain agnostic to the choice(s) of LLM. We have capabilities…
Read MoreImpact 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 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?”
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