32 Results
Steve Wilcockson Technical Product Marketing at Quantexa
Simulations are important. It was ever thus since the dawn of computing, but they have become even more important in AI-infused complex business environments. Simulations are core to any organization’s toolkit for making optimal decisions. Combining simulations with domain models (ontologies) rooted in an organization’s platform, model and data ar...
03 April 2025 /ai /regulation Financial Risk Management
While AI models - large language models (LLMs) in particular - become more powerful and widely commoditized, the need for accurate, context-rich data grows ever more critical. In regulated industries, this becomes even more essential, as organizations must also ensure explainability and governance. For the modern organization, Contextual Retrieval...
03 March 2025 /ai /crime Financial Risk Management
Our BizDev team at work asked me to explain why Data Management developed different cultures and languages to that of Data Science. I found this hard, in part because some of my background comes from engineering maths, which, for many years, was tightly coupled with the arguably adjacent Financial Services discipline of Quant, or Financial Enginee...
18 February 2025 /ai /regulation Artificial Intelligence and Financial Services
What Just Happened? The pace of change and events this last two weeks has been bewildering. I have below summarized what just happened with links to social posts with deeper insights, and also described how financial services need to react. DeepSeek launched their LLM to great acclaim. So too did Alibaba with their new Qwen model. However, DeepSe...
03 February 2025 /ai /regulation Artificial Intelligence and Financial Services
I've had something of an eye for predicting change related to quant, fintech and computing trends, e.g. open source, data science, languages, risk/governance, perils and pitfalls of big data, stress testing, etc. Sometimes folk listened, other times not, and I was occasionally encouraged to make some sanitized corporate-friendly predictions public...
06 January 2025 /ai /predictions Artificial Intelligence and Financial Services
Data Fabric: The Origination Story Throughout my career, enterprise data management paradigms have come and gone. Let’s briefly trawl some data management history to understand how data fabric emerged. Popular data management paradigms include: Data Warehouse Data Lake ETL, i.e. Extract, Transform, Load ELT, i.e. Extract, Load, Transform Data Lake...
05 August 2024 /ai /regulation Data Management and Governance
The problem: Generative AI Large Language Models (LLMs) can only answer questions or complete tasks based on what they been trained on - unless they’re given access to external knowledge, like your organization’s knowledge. LLMs can be fine-tuned, but it's an expensive endeavor. As a result, deploying enterprise context in conjunction with LLMs has...
18 June 2024 /ai /identity Artificial Intelligence and Financial Services
More than a few computing luminaries have sadly passed over recently, unsurprising given many pioneers from the fifties, sixties, and seventies reaching end of life. One who caught my eye was Niklaus Wirth who departed this world on New Year's Day. He was a Swiss computer scientist, associated most with ETH Zurich, but he also had sixties Silicon V...
11 January 2024 /people /markets Capital Markets Technology
2023 was a troublesome year for many on our planet – wars, violence, population displacement, catastrophes, extremism, higher costs of living and poverty. Folks working in our industry were comparatively lucky, some of us invigorated by the exciting GenerativeAI tornado. Just as HFT transformed the vocabulary of capital markets in the 2000s, and d...
03 January 2024 /regulation /markets Artificial Intelligence and Financial Services
I was at an “all things data and analytics benchmarking” event last week. It was fabulous, most major banks were represented, also the hottest of hot hedge funds, a chunk of exchanges, and some of not-the-usual vendors. I found it refreshing, like most events where tangible analytics gets discussed. My early career was quant /data science/analytics...
15 November 2023 /regulation /cloud Big Data
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