Steve Wilcockson

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Product Marketing

Quantexa

Member since

28 Feb 2014

Location

Diss / London

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How a Contextual Data Fabric Delivers Better Financial Services Outcomes

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

Your LLM Will Wish You Had Used a Knowledge Graph

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

Niklaus Wirth, and How Financial Computing Can Help Save The Planet

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

Three GenAI Terms Financial Practitioners Learnt in 2023

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

Bitemporality, Helping Lower Costs for Financial Services Use Cases

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

From RAG to Riches in a GenAI World: Some Jargon Explainers and Current Trends

What is RAG? Here's the simple 30 second definition, A deeper dive will follow. RAG (Retrieval Augmented Generation) is the buzziest word on the GenAI internet right now, more jargon to confuse the uninitiated. RAG, stands for retrieval augmented generation. It simpy means you can apply and RETRIEVE knowledge in front of the LLM, to AUGMENT your LL...

06 November 2023 /security /markets Artificial Intelligence and Financial Services

3 Steps For Successful Transformative Financial Services GenAI Use Cases

A certain research agency, one that runs big conferences and captures a ton of CIO mindshare, recently offered guidance on (analyst jargon speak ahead!) a decision framework for assessing and realizing value from enterprise generative AI initiatives. Business culture will adapt over time, of course, they state. Here is not the place to reflect on h...

25 October 2023 /people /markets Artificial Intelligence and Financial Services

Similarity Searches: The Neurons of the Vector Database

I recently wrote a Finextra piece entitled 3 GenAI Use Cases for Capital Markets; The Power of the Vector. In it, I discussed the increasing importance of the so-called vector database and vectors more generally to a whole range of quantitative finance applications. The term vector database, as I discussed in that piece, carries multiple, overload...

07 September 2023 /startups /markets Artificial Intelligence and Financial Services

3 GenAI Use Cases for Capital Markets: The Power of the Vector

The goalposts moved in capital markets with the launch of ChatGPT. I'm not the first to say that, and some will say I'm a hype monkey. However, I believe it and events like this don't happen everyday. As per the sports pitch sidelines, capital markets leaders will re-assess their set-plays and identify new tactics to determine winners and losers a...

12 July 2023 /markets /predictions Artificial Intelligence and Financial Services

Introducing The Data Timehouse: Bringing Data Science to Data

Time data is primal. It has always been thus for modern computing, mathematics and, now, artificial intelligence. From the founding grandparents of modern computing and AI – Ada Lovelace’s “analytical engine,” Alan Turing’s Enigma and Turing Machine-infused work on “Rounding-off Errors in Matrix Processing”, the “Grace Hopper nanosecond,” – element...

22 March 2023 /markets /predictions Artificial Intelligence and Financial Services

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