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Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

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...

/people /markets Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

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...

/startups /markets Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

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...

/markets /predictions Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

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...

/markets /predictions Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

5 Steps to Building AI-Ready Trading Systems

It is rare to see quants talk about trading systems and strategies so publicly. Recently Avi Palley, Lead Quantitative Strategist in eFX Trading at Wells Fargo and Carlos Zendejas, also a one-time Quant and now CEO and co-founder of Digital Q did just that,in the Deep Q Cast series about building AI-Ready trading systems. Their conversation is co...

/devops /markets Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

The Cloud Paradox, and Four Ways Financial Services Firms Can Solve It

Nowhere is cloud use being more dynamically adopted at the moment than in finance - just ask any cloud vendor, from hyperscaler to cloud service provider to SaaS provider, about how strategically important the sector is to them and their current growth. Big, massive, deals in financial services offer huge prestige when successful. Financial serv...

/cloud /markets Banking Architecture

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

To Spoof or Not to Spoof, that is the Question

Think carefully, someone could be watching! Busy Regulators! Regulators have been busy. Organizations such as SMBC Nikko, JP Morgan, Atlantic Trading, Natwest, and Robinhood have all recently incurred one or more significant fines, reputational damage and criminal prosecution – courtesy of the power and tenacity of regulators. A particular reg...

/regulation /crime Financial Risk Management

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

Data Science And Machine Learning. With Java?

In this blog, I outline briefly: - Common Applications of Data Science - Definitions: Machine learning, deep learning, data engineering and data science - Why Java for data science workflows, for both production and research. Common Applications of Data Science The blogosphere is full of descriptions about how data science and “AI’ i...

Artificial Intelligence and Financial Services

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

A Brief Commentary on the March Tiobe Index

The March Tiobe Index is out. I follow Java (1, up short term), Python (3, continual rise), R (11, steady mid-term) MATLAB (15, down mid-term), SAS (21, steady-ish) and Julia (49, wildly down?) as my interests tend towards deployment of quant and data science models into production architectures. Some thoughts on these platforms are below. What do ...

/ai /devops Capital Markets Technology

Steve Wilcockson

Steve Wilcockson Technical Product Marketing at Quantexa

Financial Services Firms Must Contribute More Software Repos, to Retain Staff and Stay Relevant

I have for some time been aware of companies increasingly submitting code to open source repositories, some quite openly like the hedge funds Man AHL and Two Sigma Investments. Others have jumped on the "cool open source" bandwagon. The subject is frequently discussed on the conference circuit and blogosphere, particularly in data scienc...

/ai /devops Innovation in Financial Services

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